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Agentic 348 papers #

• Can Llms Clean Up Your Mess? A Survey Of Application-ready Data Preparation With Llms (2026) • No Venue
  Zhou et al.
• Toward Ultra-long-horizon Agentic Science: Cognitive Accumulation For Machine Learning Engineering (2026) • No Venue
  Zhu et al.
• AT^2PO: Agentic Turn-based Policy Optimization Via Tree Search (2026) • No Venue
  Zong et al.
• Abc-bench: Benchmarking Agentic Backend Coding In Real-world Development (2026) • No Venue
  Yang et al.
• Toward Efficient Agents: Memory, Tool Learning, And Planning (2026) • No Venue
  Yang et al.
• Agent-as-a-judge (2026) • No Venue
  You et al.
• Towards Automated Kernel Generation In The Era Of Llms (2026) • No Venue
  Yu et al.
• Behavior Knowledge Merge In Reinforced Agentic Models (2026) • No Venue
  Yuan et al.
• Davinci-dev: Agent-native Mid-training For Software Engineering (2026) • No Venue
  Zeng et al.
• Confidence Estimation For Llms In Multi-turn Interactions (2026) • No Venue
  Zhang et al.
• Deepplanning: Benchmarking Long-horizon Agentic Planning With Verifiable Constraints (2026) • No Venue
  Zhang et al.
• Expseek: Self-triggered Experience Seeking For Web Agents (2026) • No Venue
  Zhang et al.
• Opennovelty: An Llm-powered Agentic System For Verifiable Scholarly Novelty Assessment (2026) • No Venue
  Zhang et al.
• Llm-in-sandbox Elicits General Agentic Intelligence (2026) • No Venue
  Cheng et al.
• User-oriented Multi-turn Dialogue Generation With Tool Use At Scale (2026) • No Venue
  Jungho Cho, Minbyul Jeong, Sungrae Park
• K-EXAONE Technical Report (2026) • No Venue
  Choi et al.
• Entropy-adaptive Fine-tuning: Resolving Confident Conflicts To Mitigate Forgetting (2026) • No Venue
  Diao et al.
• Agentocr: Reimagining Agent History Via Optical Self-compression (2026) • No Venue
  Feng et al.
• Endless Terminals: Scaling RL Environments For Terminal Agents (2026) • No Venue
  Gandhi et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• Agencybench: Benchmarking The Frontiers Of Autonomous Agents In 1m-token Real-world Contexts (2026) • No Venue
  Li et al.
• Toolprmbench: Evaluating And Advancing Process Reward Models For Tool-using Agents (2026) • No Venue
  Li et al.
• Agentic-r: Learning To Retrieve For Agentic Search (2026) • No Venue
  Liu et al.
• Agentdog: A Diagnostic Guardrail Framework For AI Agent Safety And Security (2026) • No Venue
  Liu et al.
• BAPO: Boundary-aware Policy Optimization For Reliable Agentic Search (2026) • No Venue
  Liu et al.
• Numina-lean-agent: An Open And General Agentic Reasoning System For Formal Mathematics (2026) • No Venue
  Liu et al.
• Watching, Reasoning, And Searching: A Video Deep Research Benchmark On Open Web For Agentic Video Reasoning (2026) • No Venue
  Liu et al.
• The Script Is All You Need: An Agentic Framework For Long-horizon Dialogue-to-cinematic Video Generation (2026) • No Venue
  Mu et al.
• Memobrain: Executive Memory As An Agentic Brain For Reasoning (2026) • No Venue
  Hongjin Qian, Zhao Cao, Zheng Liu
• Aligning Agentic World Models Via Knowledgeable Experience Learning (2026) • No Venue
  Ren et al.
• World Craft: Agentic Framework To Create Visualizable Worlds Via Text (2026) • No Venue
  Sun et al.
• Longcat-flash-thinking-2601 Technical Report (2026) • No Venue
  Team et al.
• Deepresearcheval: An Automated Framework For Deep Research Task Construction And Agentic Evaluation (2026) • No Venue
  Wang et al.
• Agentic Reasoning For Large Language Models (2026) • No Venue
  Wei et al.
• Mimo-v2-flash Technical Report (2026) • No Venue
  Xiao et al.
• The Confidence Dichotomy: Analyzing And Mitigating Miscalibration In Tool-use Agents (2026) • No Venue
  Xuan et al.
• Unlocking Implicit Experience: Synthesizing Tool-use Trajectories From Text (2026) • No Venue
  Xu et al.
• End-to-end Agentic RAG System Training For Traceable Diagnostic Reasoning (2025) • No Venue
  Zheng et al.
• Stronger Together: On-policy Reinforcement Learning For Collaborative Llms (2025) • No Venue
  Zhao et al.
• VLA^2: Empowering Vision-language-action Models With An Agentic Framework For Unseen Concept Manipulation (2025) • No Venue
  Zhao et al.
• Pyvision: Agentic Vision With Dynamic Tooling (2025) • No Venue
  Zhao et al.
• Agentic Context Engineering: Evolving Contexts For Self-improving Language Models (2025) • No Venue
  Zhang et al.
• Agent Models: Internalizing Chain-of-action Generation Into Reasoning Models (2025) • No Venue
  Zhang et al.
• A4-agent: An Agentic Framework For Zero-shot Affordance Reasoning (2025) • No Venue
  Zhang et al.
• Deepanalyze: Agentic Large Language Models For Autonomous Data Science (2025) • No Venue
  Zhang et al.
• Complex Logical Instruction Generation (2025) • No Venue
  Zhang et al.
• Bourbaki: Self-generated And Goal-conditioned Mdps For Theorem Proving (2025) • No Venue
  Zimmer et al.
• Skywork-r1v4: Toward Agentic Multimodal Intelligence Through Interleaved Thinking With Images And Deepresearch (2025) • No Venue
  Zhang et al.
• UFO^3: Weaving The Digital Agent Galaxy (2025) • No Venue
  Zhang et al.
• Swarmagentic: Towards Fully Automated Agentic System Generation Via Swarm Intelligence (2025) • No Venue
  Zhang et al.
• Interactive Training: Feedback-driven Neural Network Optimization (2025) • No Venue
  Wentao Zhang, Yang Young Lu, Yuntian Deng
• Mlrc-bench: Can Language Agents Solve Machine Learning Research Challenges? (2025) • No Venue
  Zhang et al.
• Memory As Action: Autonomous Context Curation For Long-horizon Agentic Tasks (2025) • No Venue
  Zhang et al.
• Memevolve: Meta-evolution Of Agent Memory Systems (2025) • No Venue
  Zhang et al.
• MARS: A Multi-agent Framework Incorporating Socratic Guidance For Automated Prompt Optimization (2025) • No Venue
  Zhang et al.
• Longvt: Incentivizing "thinking With Long Videos" Via Native Tool Calling (2025) • No Venue
  Yang et al.
• Magma: A Foundation Model For Multimodal AI Agents (2025) • No Venue
  Yang et al.
• Sceneweaver: All-in-one 3D Scene Synthesis With An Extensible And Self-reflective Agent (2025) • No Venue
  Yang et al.
• Twinmarket: A Scalable Behavioral And Social Simulation For Financial Markets (2025) • No Venue
  Yang et al.
• Agentfold: Long-horizon Web Agents With Proactive Context Management (2025) • No Venue
  Ye et al.
• Agentic Jigsaw Interaction Learning For Enhancing Visual Perception And Reasoning In Vision-language Models (2025) • No Venue
  Zeng et al.
• 4kagent: Agentic Any Image To 4K Super-resolution (2025) • No Venue
  Zuo et al.
• Aworld: Orchestrating The Training Recipe For Agentic AI (2025) • No Venue
  Yu et al.
• Demystifying Reinforcement Learning In Agentic Reasoning (2025) • No Venue
  Yu et al.
• QUASAR: Quantum Assembly Code Generation Using Tool-augmented Llms Via Agentic RL (2025) • No Venue
  Yu et al.
• Agent-r: Training Language Model Agents To Reflect Via Iterative Self-training (2025) • No Venue
  Yuan et al.
• Videodeepresearch: Long Video Understanding With Agentic Tool Using (2025) • No Venue
  Yuan et al.
• Scaling Test-time Compute For LLM Agents (2025) • No Venue
  Zhu et al.
• Self-improving LLM Agents At Test-time (2025) • No Venue
  Acikgoz et al.
• Deepseek-v3.2: Pushing The Frontier Of Open Large Language Models (2025) • No Venue
  Deepseek-Ai et al.
• Nemotron 3 Nano: Open, Efficient Mixture-of-experts Hybrid Mamba-transformer Model For Agentic Reasoning (2025) • No Venue
  Nvidia et al.
• Flashadventure: A Benchmark For GUI Agents Solving Full Story Arcs In Diverse Adventure Games (2025) • No Venue
  Ahn et al.
• Fara-7b: An Efficient Agentic Model For Computer Use (2025) • No Venue
  Awadallah et al.
• Swe-rebench: An Automated Pipeline For Task Collection And Decontaminated Evaluation Of Software Engineering Agents (2025) • No Venue
  Badertdinov et al.
• Magentic Marketplace: An Open-source Environment For Studying Agentic Markets (2025) • No Venue
  Bansal et al.
• Qwen3-vl Technical Report (2025) • No Venue
  Bai et al.
• Guardians Of The Agentic System: Preventing Many Shots Jailbreak With Agentic System (2025) • No Venue
  Barua et al.
• Universal Deep Research: Bring Your Own Model And Strategy (2025) • No Venue
  Peter Belcak, Pavlo Molchanov
• Small Language Models Are The Future Of Agentic AI (2025) • No Venue
  Belcak et al.
• Agentic Learner With Grow-and-refine Multimodal Semantic Memory (2025) • No Venue
  Bo et al.
• Enhancing Vision-language Model Training With Reinforcement Learning In Synthetic Worlds For Real-world Success (2025) • No Venue
  Bredis et al.
• Video Action Differencing (2025) • No Venue
  Burgess et al.
• FLEX: Continuous Agent Evolution Via Forward Learning From Experience (2025) • No Venue
  Cai et al.
• Training-free Group Relative Policy Optimization (2025) • No Venue
  Cai et al.
• Smartsnap: Proactive Evidence Seeking For Self-verifying Agents (2025) • No Venue
  Cai et al.
• Sql-of-thought: Multi-agentic Text-to-sql With Guided Error Correction (2025) • No Venue
  Saumya Chaturvedi, Aman Chadha, Laurent Bindschaedler
• Where LLM Agents Fail And How They Can Learn From Failures (2025) • No Venue
  Zhu et al.
• Agentfrontier: Expanding The Capability Frontier Of LLM Agents With Zpd-guided Data Synthesis (2025) • No Venue
  Chen et al.
• A^2FM: An Adaptive Agent Foundation Model For Tool-aware Hybrid Reasoning (2025) • No Venue
  Chen et al.
• Coda: Agentic Systems For Collaborative Data Visualization (2025) • No Venue
  Chen et al.
• Mindwatcher: Toward Smarter Multimodal Tool-integrated Reasoning (2025) • No Venue
  Chen et al.
• G1: Bootstrapping Perception And Reasoning Abilities Of Vision-language Model Via Reinforcement Learning (2025) • No Venue
  Chen et al.
• Geometrically-constrained Agent For Spatial Reasoning (2025) • No Venue
  Chen et al.
• Hephaestus: Improving Fundamental Agent Capabilities Of Large Language Models Through Continual Pre-training (2025) • No Venue
  Zhuang et al.
• P1: Mastering Physics Olympiads With Reinforcement Learning (2025) • No Venue
  Chen et al.
• Spacetools: Tool-augmented Spatial Reasoning Via Double Interactive RL (2025) • No Venue
  Chen et al.
• Seed-prover 1.5: Mastering Undergraduate-level Theorem Proving Via Learning From Experience (2025) • No Venue
  Chen et al.
• Shieldagent: Shielding Agents Via Verifiable Safety Policy Reasoning (2025) • No Venue
  Zhaorun Chen, Mintong Kang, Bo Li
• Stockbench: Can LLM Agents Trade Stocks Profitably In Real-world Markets? (2025) • No Venue
  Chen et al.
• Ui-ins: Enhancing GUI Grounding With Multi-perspective Instruction-as-reasoning (2025) • No Venue
  Chen et al.
• DEER: Draft With Diffusion, Verify With Autoregressive Models (2025) • No Venue
  Cheng et al.
• Captionqa: Is Your Caption As Useful As The Image Itself? (2025) • No Venue
  Yang et al.
• The AI Scientist-v2: Workshop-level Automated Scientific Discovery Via Agentic Tree Search (2025) • No Venue
  Yamada et al.
• General Agentic Memory Via Deep Research (2025) • No Venue
  Yan et al.
• LIMI: Less Is More For Agency (2025) • No Venue
  Xiao et al.
• Spatialtree: How Spatial Abilities Branch Out In Mllms (2025) • No Venue
  Xiao et al.
• Ui-genie: A Self-improving Approach For Iteratively Boosting Mllm-based Mobile GUI Agents (2025) • No Venue
  Xiao et al.
• Aworld: Dynamic Multi-agent System With Stable Maneuvering For Robust GAIA Problem Solving (2025) • No Venue
  Xie et al.
• Scaling Computer-use Grounding Via User Interface Decomposition And Synthesis (2025) • No Venue
  Xie et al.
• Flag-trader: Fusion Llm-agent With Gradient-based Reinforcement Learning For Financial Trading (2025) • No Venue
  Xiong et al.
• Streamingvlm: Real-time Understanding For Infinite Video Streams (2025) • No Venue
  Xu et al.
• Deepphy: Benchmarking Agentic Vlms On Physical Reasoning (2025) • No Venue
  Xu et al.
• Funreason-mt Technical Report: Overcoming The Complexity Barrier In Multi-turn Function Calling (2025) • No Venue
  Xu et al.
• TOUCAN: Synthesizing 1.5M Tool-agentic Data From Real-world MCP Environments (2025) • No Venue
  Xu et al.
• Webvia: A Web-based Vision-language Agentic Framework For Interactive And Verifiable Ui-to-code Generation (2025) • No Venue
  Xu et al.
• Ravine: Reality-aligned Evaluation For Agentic Search (2025) • No Venue
  Xu et al.
• Co-evolving LLM Coder And Unit Tester Via Reinforcement Learning (2025) • No Venue
  Wang et al.
• Efficient Agents: Building Effective Agents While Reducing Cost (2025) • No Venue
  Wang et al.
• Game-tars: Pretrained Foundation Models For Scalable Generalist Multimodal Game Agents (2025) • No Venue
  Wang et al.
• Geovista: Web-augmented Agentic Visual Reasoning For Geolocalization (2025) • No Venue
  Wang et al.
• Let It Flow: Agentic Crafting On Rock And Roll, Building The ROME Model Within An Open Agentic Learning Ecosystem (2025) • No Venue
  Wang et al.
• Internvl3.5: Advancing Open-source Multimodal Models In Versatility, Reasoning, And Efficiency (2025) • No Venue
  Wang et al.
• Mobile-agent-v: Learning Mobile Device Operation Through Video-guided Multi-agent Collaboration (2025) • No Venue
  Wang et al.
• Socratic-zero : Bootstrapping Reasoning Via Data-free Agent Co-evolution (2025) • No Venue
  Wang et al.
• Webdancer: Towards Autonomous Information Seeking Agency (2025) • No Venue
  Wu et al.
• Resum: Unlocking Long-horizon Search Intelligence Via Context Summarization (2025) • No Venue
  Wu et al.
• Finevision: Open Data Is All You Need (2025) • No Venue
  Wiedmann et al.
• Widesearch: Benchmarking Agentic Broad Info-seeking (2025) • No Venue
  Wong et al.
• Native Parallel Reasoner: Reasoning In Parallelism Via Self-distilled Reinforcement Learning (2025) • No Venue
  Wu et al.
• Grounded Persuasive Language Generation For Automated Marketing (2025) • No Venue
  Wu et al.
• UI-TARS-2 Technical Report: Advancing GUI Agent With Multi-turn Reinforcement Learning (2025) • No Venue
  Wang et al.
• Ai-native Memory 2.0: Second Me (2025) • No Venue
  Wei et al.
• From AI For Science To Agentic Science: A Survey On Autonomous Scientific Discovery (2025) • No Venue
  Wei et al.
• Real-time Reasoning Agents In Evolving Environments (2025) • No Venue
  Wen et al.
• Learning On The Job: An Experience-driven Self-evolving Agent For Long-horizon Tasks (2025) • No Venue
  Yang et al.
• Scaling Agents Via Continual Pre-training (2025) • No Venue
  Su et al.
• Automind: Adaptive Knowledgeable Agent For Automated Data Science (2025) • No Venue
  Ou et al.
• Agentic Reward Modeling: Integrating Human Preferences With Verifiable Correctness Signals For Reliable Reward Systems (2025) • No Venue
  Peng et al.
• SWE-QA: Can Language Models Answer Repository-level Code Questions? (2025) • No Venue
  Peng et al.
• Enterprise Deep Research: Steerable Multi-agent Deep Research For Enterprise Analytics (2025) • No Venue
  Prabhakar et al.
• Apigen-mt: Agentic Pipeline For Multi-turn Data Generation Via Simulated Agent-human Interplay (2025) • No Venue
  Prabhakar et al.
• Agentic Knowledgeable Self-awareness (2025) • No Venue
  Qiao et al.
• Userrl: Training Interactive User-centric Agent Via Reinforcement Learning (2025) • No Venue
  Qian et al.
• Scaling Generalist Data-analytic Agents (2025) • No Venue
  Qiao et al.
• Learn The Ropes, Then Trust The Wins: Self-imitation With Progressive Exploration For Agentic Reinforcement Learning (2025) • No Venue
  Qin et al.
• Thinking Beyond Tokens: From Brain-inspired Intelligence To Cognitive Foundations For Artificial General Intelligence And Its Societal Impact (2025) • No Venue
  Qureshi et al.
• Simworld: An Open-ended Realistic Simulator For Autonomous Agents In Physical And Social Worlds (2025) • No Venue
  Ren et al.
• EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning And Reasoning Modes (2025) • No Venue
  Research et al.
• Vibe Coding Vs. Agentic Coding: Fundamentals And Practical Implications Of Agentic AI (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• AI Agents Vs. Agentic AI: A Conceptual Taxonomy, Applications And Challenge (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Vision-language-action Models: Concepts, Progress, Applications And Challenges (2025) • No Venue
  Sapkota et al.
• Agentrxiv: Towards Collaborative Autonomous Research (2025) • No Venue
  Samuel Schmidgall, Michael Moor
• Llms Are Greedy Agents: Effects Of RL Fine-tuning On Decision-making Abilities (2025) • No Venue
  Schmied et al.
• Medgemma Technical Report (2025) • No Venue
  Sellergren et al.
• Rstar2-agent: Agentic Reasoning Technical Report (2025) • No Venue
  Shang et al.
• Deep Research: A Systematic Survey (2025) • No Venue
  Shi et al.
• Taskcraft: Automated Generation Of Agentic Tasks (2025) • No Venue
  Shi et al.
• Toolorchestra: Elevating Intelligence Via Efficient Model And Tool Orchestration (2025) • No Venue
  Su et al.
• Scienceboard: Evaluating Multimodal Autonomous Agents In Realistic Scientific Workflows (2025) • No Venue
  Sun et al.
• Seagent: Self-evolving Computer Use Agent With Autonomous Learning From Experience (2025) • No Venue
  Sun et al.
• Hiersearch: A Hierarchical Enterprise Deep Search Framework Integrating Local And Web Searches (2025) • No Venue
  Tan et al.
• Agent KB: Leveraging Cross-domain Experience For Agentic Problem Solving (2025) • No Venue
  Tang et al.
• Metachain: A Fully-automated And Zero-code Framework For LLM Agents (2025) • No Venue
  Jiabin Tang, Tianyu Fan, Chao Huang
• Webshaper: Agentically Data Synthesizing Via Information-seeking Formalization (2025) • No Venue
  Tao et al.
• GLM-4.5: Agentic, Reasoning, And Coding (ARC) Foundation Models (2025) • No Venue
  Team et al.
• Inferix: A Block-diffusion Based Next-generation Inference Engine For World Simulation (2025) • No Venue
  Team et al.
• INTELLECT-3: Technical Report (2025) • No Venue
  Team et al.
• PAN: A World Model For General, Interactable, And Long-horizon World Simulation (2025) • No Venue
  Team et al.
• Nex-n1: Agentic Models Trained Via A Unified Ecosystem For Large-scale Environment Construction (2025) • No Venue
  Team et al.
• Open Multimodal Retrieval-augmented Factual Image Generation (2025) • No Venue
  Tian et al.
• Tongyi Deepresearch Technical Report (2025) • No Venue
  Team et al.
• SIMA 2: A Generalist Embodied Agent For Virtual Worlds (2025) • No Venue
  Team et al.
• Fathom-deepresearch: Unlocking Long Horizon Information Retrieval And Synthesis For Slms (2025) • No Venue
  Shreyas Singh, Kunal Singh, Pradeep Moturi
• Agentic Reasoning And Tool Integration For Llms Via Reinforcement Learning (2025) • No Venue
  Singh et al.
• MADD: Multi-agent Drug Discovery Orchestra (2025) • No Venue
  Solovev et al.
• Agent Data Protocol: Unifying Datasets For Diverse, Effective Fine-tuning Of LLM Agents (2025) • No Venue
  Song et al.
• Learn-by-interact: A Data-centric Framework For Self-adaptive Agents In Realistic Environments (2025) • No Venue
  Su et al.
• The Era Of Agentic Organization: Learning To Organize With Language Models (2025) • No Venue
  Chi et al.
• Sensenova-mars: Empowering Multimodal Agentic Reasoning And Search Via Reinforcement Learning (2025) • No Venue
  Chng et al.
• The Station: An Open-world Environment For Ai-driven Discovery (2025) • No Venue
  Stephen Chung, Wenyu Du
• Deepresearchgym: A Free, Transparent, And Reproducible Evaluation Sandbox For Deep Research (2025) • No Venue
  Coelho et al.
• Gemini 2.5: Pushing The Frontier With Advanced Reasoning, Multimodality, Long Context, And Next Generation Agentic Capabilities (2025) • No Venue
  Comanici et al.
• Does It Tie Out? Towards Autonomous Legal Agents In Venture Capital (2025) • No Venue
  Colombo et al.
• The Danger Of Overthinking: Examining The Reasoning-action Dilemma In Agentic Tasks (2025) • No Venue
  Cuadron et al.
• Defeating Prompt Injections By Design (2025) • No Venue
  Debenedetti et al.
• Toolscope: An Agentic Framework For Vision-guided And Long-horizon Tool Use (2025) • No Venue
  Mengjie Deng, Guanting Dong, Zhicheng Dou
• Supervised Reinforcement Learning: From Expert Trajectories To Step-wise Reasoning (2025) • No Venue
  Deng et al.
• Weboperator: Action-aware Tree Search For Autonomous Agents In Web Environment (2025) • No Venue
  Dihan et al.
• Arm-thinker: Reinforcing Multimodal Generative Reward Models With Agentic Tool Use And Visual Reasoning (2025) • No Venue
  Ding et al.
• Nl2repo-bench: Towards Long-horizon Repository Generation Evaluation Of Coding Agents (2025) • No Venue
  Ding et al.
• Agentic Entropy-balanced Policy Optimization (2025) • No Venue
  Dong et al.
• Automating Benchmark Design (2025) • No Venue
  Dsouza et al.
• SSRL: Self-search Reinforcement Learning (2025) • No Venue
  Fan et al.
• Synworld: Virtual Scenario Synthesis For Agentic Action Knowledge Refinement (2025) • No Venue
  Fang et al.
• Towards General Agentic Intelligence Via Environment Scaling (2025) • No Venue
  Fang et al.
• Grounding Computer Use Agents On Human Demonstrations (2025) • No Venue
  Feizi et al.
• Agentscope 1.0: A Developer-centric Framework For Building Agentic Applications (2025) • No Venue
  Gao et al.
• A Survey Of Self-evolving Agents: On Path To Artificial Super Intelligence (2025) • No Venue
  Gao et al.
• Beyond Ten Turns: Unlocking Long-horizon Agentic Search With Large-scale Asynchronous RL (2025) • No Venue
  Gao et al.
• Txagent: An AI Agent For Therapeutic Reasoning Across A Universe Of Tools (2025) • No Venue
  Gao et al.
• Oagents: An Empirical Study Of Building Effective Agents (2025) • No Venue
  Zhu et al.
• Training Long-context, Multi-turn Software Engineering Agents With Reinforcement Learning (2025) • No Venue
  Golubev et al.
• Mind2web 2: Evaluating Agentic Search With Agent-as-a-judge (2025) • No Venue
  Gou et al.
• Agentsnet: Coordination And Collaborative Reasoning In Multi-agent Llms (2025) • No Venue
  Grötschla et al.
• Textarena (2025) • No Venue
  Guertler et al.
• Mcp-agentbench: Evaluating Real-world Language Agent Performance With Mcp-mediated Tools (2025) • No Venue
  Guo et al.
• Fasta^*: Fast-slow Toolpath Agent With Subroutine Mining For Efficient Multi-turn Image Editing (2025) • No Venue
  Gupta et al.
• Costaast: Cost-sensitive Toolpath Agent For Multi-turn Image Editing (2025) • No Venue
  Gupta et al.
• Multiagentbench: Evaluating The Collaboration And Competition Of LLM Agents (2025) • No Venue
  Zhu et al.
• Deep Researcher With Test-time Diffusion (2025) • No Venue
  Han et al.
• Deepeyesv2: Toward Agentic Multimodal Model (2025) • No Venue
  Hong et al.
• Paperdebugger: A Plugin-based Multi-agent System For In-editor Academic Writing, Review, And Editing (2025) • No Venue
  Hou et al.
• A Survey Of Scientific Large Language Models: From Data Foundations To Agent Frontiers (2025) • No Venue
  Hu et al.
• Memory In The Age Of AI Agents (2025) • No Venue
  Hu et al.
• Step-deepresearch Technical Report (2025) • No Venue
  Hu et al.
• Building A Foundational Guardrail For General Agentic Systems Via Synthetic Data (2025) • No Venue
  Huang et al.
• BIRD-INTERACT: Re-imagining Text-to-sql Evaluation For Large Language Models Via Lens Of Dynamic Interactions (2025) • No Venue
  Huo et al.
• Adaptive Multi-agent Response Refinement In Conversational Systems (2025) • No Venue
  Jeong et al.
• Tree Search For LLM Agent Reinforcement Learning (2025) • No Venue
  Ji et al.
• Adaptation Of Agentic AI (2025) • No Venue
  Jiang et al.
• Screencoder: Advancing Visual-to-code Generation For Front-end Automation Via Modular Multimodal Agents (2025) • No Venue
  Jiang et al.
• Verltool: Towards Holistic Agentic Reinforcement Learning With Tool Use (2025) • No Venue
  Jiang et al.
• ACON: Optimizing Context Compression For Long-horizon LLM Agents (2025) • No Venue
  Kang et al.
• Towards Safety Reasoning In Llms: Ai-agentic Deliberation For Policy-embedded Cot Data Creation (2025) • No Venue
  Kumarage et al.
• Theoremexplainagent: Towards Multimodal Explanations For LLM Theorem Understanding (2025) • No Venue
  Ku et al.
• Exploring Expert Failures Improves LLM Agent Tuning (2025) • No Venue
  Lan et al.
• Offtopiceval: When Large Language Models Enter The Wrong Chat, Almost Always! (2025) • No Venue
  Lei et al.
• Infantagent-next: A Multimodal Generalist Agent For Automated Computer Interaction (2025) • No Venue
  Lei et al.
• Chain-of-agents: End-to-end Agent Foundation Models Via Multi-agent Distillation And Agentic RL (2025) • No Venue
  Li et al.
• Sculptor: Empowering Llms With Cognitive Agency Via Active Context Management (2025) • No Venue
  Li et al.
• Deepcode: Open Agentic Coding (2025) • No Venue
  Li et al.
• In-the-flow Agentic System Optimization For Effective Planning And Tool Use (2025) • No Venue
  Li et al.
• Perception, Reason, Think, And Plan: A Survey On Large Multimodal Reasoning Models (2025) • No Venue
  Li et al.
• Relook: Vision-grounded RL With A Multimodal LLM Critic For Agentic Web Coding (2025) • No Venue
  Li et al.
• Tir-bench: A Comprehensive Benchmark For Agentic Thinking-with-images Reasoning (2025) • No Venue
  Li et al.
• Search-o1: Agentic Search-enhanced Large Reasoning Models (2025) • No Venue
  Li et al.
• Swe-debate: Competitive Multi-agent Debate For Software Issue Resolution (2025) • No Venue
  Li et al.
• Swarmsys: Decentralized Swarm-inspired Agents For Scalable And Adaptive Reasoning (2025) • No Venue
  Li et al.
• Turn-ppo: Turn-level Advantage Estimation With PPO For Improved Multi-turn RL In Agentic Llms (2025) • No Venue
  Li et al.
• Websailor-v2: Bridging The Chasm To Proprietary Agents Via Synthetic Data And Scalable Reinforcement Learning (2025) • No Venue
  Li et al.
• AI Meets Brain: Memory Systems From Cognitive Neuroscience To Autonomous Agents (2025) • No Venue
  Liang et al.
• Dataflow: An Llm-driven Framework For Unified Data Preparation And Workflow Automation In The Era Of Data-centric AI (2025) • No Venue
  Liang et al.
• QLASS: Boosting Language Agent Inference Via Q-guided Stepwise Search (2025) • No Venue
  Lin et al.
• Sleep-time Compute: Beyond Inference Scaling At Test-time (2025) • No Venue
  Lin et al.
• Vcode: A Multimodal Coding Benchmark With SVG As Symbolic Visual Representation (2025) • No Venue
  Lin et al.
• Budget-aware Tool-use Enables Effective Agent Scaling (2025) • No Venue
  Liu et al.
• Feature4x: Bridging Any Monocular Video To 4D Agentic AI With Versatile Gaussian Feature Fields (2025) • No Venue
  Zhou et al.
• Sfr-deepresearch: Towards Effective Reinforcement Learning For Autonomously Reasoning Single Agents (2025) • No Venue
  Nguyen et al.
• MAI-UI Technical Report: Real-world Centric Foundation GUI Agents (2025) • No Venue
  Zhou et al.
• How Can Input Reformulation Improve Tool Usage Accuracy In A Complex Dynamic Environment? A Study On Τ-bench (2025) • No Venue
  Mishra et al.
• Solving A Million-step LLM Task With Zero Errors (2025) • No Venue
  Meyerson et al.
• Paper2agent: Reimagining Research Papers As Interactive And Reliable AI Agents (2025) • No Venue
  Miao et al.
• Livemcpbench: Can Agents Navigate An Ocean Of MCP Tools? (2025) • No Venue
  Mo et al.
• Webexplorer: Explore And Evolve For Training Long-horizon Web Agents (2025) • No Venue
  Liu et al.
• Octotools: An Agentic Framework With Extensible Tools For Complex Reasoning (2025) • No Venue
  Lu et al.
• Search Self-play: Pushing The Frontier Of Agent Capability Without Supervision (2025) • No Venue
  Lu et al.
• Youtu-llm: Unlocking The Native Agentic Potential For Lightweight Large Language Models (2025) • No Venue
  Lu et al.
• Autellix: An Efficient Serving Engine For LLM Agents As General Programs (2025) • No Venue
  Luo et al.
• Ultrahorizon: Benchmarking Agent Capabilities In Ultra Long-horizon Scenarios (2025) • No Venue
  Luo et al.
• Pixelworld: Towards Perceiving Everything As Pixels (2025) • No Venue
  Zhiheng Lyu, Xueguang Ma, Wenhu Chen
• Build The Web For Agents, Not Agents For The Web (2025) • No Venue
  Lù et al.
• Dover: Intervention-driven Auto Debugging For LLM Multi-agent Systems (2025) • No Venue
  Ma et al.
• Docreward: A Document Reward Model For Structuring And Stylizing (2025) • No Venue
  Liu et al.
• GEM: A Gym For Agentic Llms (2025) • No Venue
  Liu et al.
• Pc-agent: A Hierarchical Multi-agent Collaboration Framework For Complex Task Automation On PC (2025) • No Venue
  Liu et al.
• Marsrl: Advancing Multi-agent Reasoning System Via Reinforcement Learning With Agentic Pipeline Parallelism (2025) • No Venue
  Liu et al.
• MOSAIC: Modeling Social AI For Content Dissemination And Regulation In Multi-agent Simulations (2025) • No Venue
  Liu et al.
• Videomind: A Chain-of-lora Agent For Long Video Reasoning (2025) • No Venue
  Liu et al.
• Agentinstruct: Toward Generative Teaching With Agentic Flows (2024) • No Venue
  Mitra et al.
• Generative World Explorer (2024) • No Venue
  Lu et al.
• MALT: Improving Reasoning With Multi-agent LLM Training (2024) • No Venue
  Motwani et al.
• Osworld: Benchmarking Multimodal Agents For Open-ended Tasks In Real Computer Environments (2024) • No Venue
  Xie et al.
• Revealing The Barriers Of Language Agents In Planning (2024) • No Venue
  Xie et al.
• Training Software Engineering Agents And Verifiers With Swe-gym (2024) • No Venue
  Pan et al.
• BALROG: Benchmarking Agentic LLM And VLM Reasoning On Games (2024) • No Venue
  Paglieri et al.
• Autodan-turbo: A Lifelong Agent For Strategy Self-exploration To Jailbreak Llms (2024) • No Venue
  Liu et al.
• Benchmarking Agentic Workflow Generation (2024) • No Venue
  Qiao et al.
• Webrl: Training LLM Web Agents Via Self-evolving Online Curriculum Reinforcement Learning (2024) • No Venue
  Qi et al.
• Brushedit: All-in-one Image Inpainting And Editing (2024) • No Venue
  Li et al.
• OS-ATLAS: A Foundation Action Model For Generalist GUI Agents (2024) • No Venue
  Wu et al.
• Navigating The Unknown: A Chat-based Collaborative Interface For Personalized Exploratory Tasks (2024) • No Venue
  Peng et al.
• Hyperagent: Generalist Software Engineering Agents To Solve Coding Tasks At Scale (2024) • No Venue
  Huy Nhat Phan, Phong X. Nguyen, Nghi D. Q. Bui
• Unbounded: A Generative Infinite Game Of Character Life Simulation (2024) • No Venue
  Li et al.
• Agentgym: Evolving Large Language Model-based Agents Across Diverse Environments (2024) • No Venue
  Xi et al.
• Agent S: An Open Agentic Framework That Uses Computers Like A Human (2024) • No Venue
  Agashe et al.
• Arigraph: Learning Knowledge Graph World Models With Episodic Memory For LLM Agents (2024) • No Venue
  Anokhin et al.
• Mora: Enabling Generalist Video Generation Via A Multi-agent Framework (2024) • No Venue
  Yuan et al.
• Agentohana: Design Unified Data And Training Pipeline For Effective Agent Learning (2024) • No Venue
  Zhang et al.
• Genie: Generative Interactive Environments (2024) • No Venue
  Bruce et al.
• Diversity Empowers Intelligence: Integrating Expertise Of Software Engineering Agents (2024) • No Venue
  Zhang et al.
• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
  Zhang et al.
• Researchtown: Simulator Of Human Research Community (2024) • No Venue
  Yu et al.
• Web Agents With World Models: Learning And Leveraging Environment Dynamics In Web Navigation (2024) • No Venue
  Chae et al.
• Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web (2024) • No Venue
  Kapoor et al.
• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
  Kelly et al.
• Hackphyr: A Local Fine-tuned LLM Agent For Network Security Environments (2024) • No Venue
  Maria Rigaki, Carlos Catania, Sebastian Garcia
• Observational Scaling Laws And The Predictability Of Language Model Performance (2024) • No Venue
  Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
• Mobile-agent-v2: Mobile Device Operation Assistant With Effective Navigation Via Multi-agent Collaboration (2024) • No Venue
  Wang et al.
• Navigating The Digital World As Humans Do: Universal Visual Grounding For GUI Agents (2024) • No Venue
  Gou et al.
• Is Your LLM Secretly A World Model Of The Internet? Model-based Planning For Web Agents (2024) • No Venue
  Gu et al.
• Androidlab: Training And Systematic Benchmarking Of Android Autonomous Agents (2024) • No Venue
  Xu et al.
• Genmac: Compositional Text-to-video Generation With Multi-agent Collaboration (2024) • No Venue
  Huang et al.
• The Dawn Of GUI Agent: A Preliminary Case Study With Claude 3.5 Computer Use (2024) • No Venue
  Hu et al.
• Automated Design Of Agentic Systems (2024) • No Venue
  Shengran Hu, Cong Lu, Jeff Clune
• Appworld: A Controllable World Of Apps And People For Benchmarking Interactive Coding Agents (2024) • No Venue
  Trivedi et al.
• Sibyl: Simple Yet Effective Agent Framework For Complex Real-world Reasoning (2024) • No Venue
  Wang et al.
• Openwebvoyager: Building Multimodal Web Agents Via Iterative Real-world Exploration, Feedback And Optimization (2024) • No Venue
  He et al.
• Internet Of Agents: Weaving A Web Of Heterogeneous Agents For Collaborative Intelligence (2024) • No Venue
  Chen et al.
• Mindsearch: Mimicking Human Minds Elicits Deep AI Searcher (2024) • No Venue
  Chen et al.
• Simulating Classroom Education With Llm-empowered Agents (2024) • No Venue
  Zhang et al.
• MIRAI: Evaluating LLM Agents For Event Forecasting (2024) • No Venue
  Ye et al.
• Longagent: Scaling Language Models To 128k Context Through Multi-agent Collaboration (2024) • No Venue
  Zhao et al.
• Agentscope: A Flexible Yet Robust Multi-agent Platform (2024) • No Venue
  Gao et al.
• Sketchagent: Language-driven Sequential Sketch Generation (2024) • No Venue
  Vinker et al.
• Msi-agent: Incorporating Multi-scale Insight Into Embodied Agents For Superior Planning And Decision-making (2024) • No Venue
  Fu et al.
• LAVE: Llm-powered Agent Assistance And Language Augmentation For Video Editing (2024) • No Venue
  Wang et al.
• Divide And Conquer: Language Models Can Plan And Self-correct For Compositional Text-to-image Generation (2024) • No Venue
  Wang et al.
• Read Anywhere Pointed: Layout-aware GUI Screen Reading With Tree-of-lens Grounding (2024) • No Venue
  Fan et al.
• An Interactive Agent Foundation Model (2024) • No Venue
  Durante et al.
• Scaling Instructable Agents Across Many Simulated Worlds (2024) • No Venue
  Team et al.
• On The Limits Of Agency In Agent-based Models (2024) • No Venue
  Chopra et al.
• Agent-as-a-judge: Evaluate Agents With Agents (2024) • No Venue
  Zhuge et al.
• JARVIS-1: Open-world Multi-task Agents With Memory-augmented Multimodal Language Models (2023) • No Venue
  Wang et al.
• 3D-GPT: Procedural 3D Modeling With Large Language Models (2023) • No Venue
  Sun et al.
• Toolchain*: Efficient Action Space Navigation In Large Language Models With A* Search (2023) • No Venue
  Zhuang et al.
• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
  Wang et al.
• Chessgpt: Bridging Policy Learning And Language Modeling (2023) • No Venue
  Feng et al.
• TPTU: Task Planning And Tool Usage Of Large Language Model-based AI Agents (2023) • No Venue
  Ruan et al.
• Webarena: A Realistic Web Environment For Building Autonomous Agents (2023) • No Venue
  Zhou et al.
• Expel: LLM Agents Are Experiential Learners (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 71 citations
  Zhao et al.
• Agents: An Open-source Framework For Autonomous Language Agents (2023) • No Venue
  Zhou et al.
• Proagent: From Robotic Process Automation To Agentic Process Automation (2023) • No Venue
  Ye et al.
• Sayplan: Grounding Large Language Models Using 3D Scene Graphs For Scalable Task Planning (2023) • No Venue
  Rana et al.
• LARP: Language-agent Role Play For Open-world Games (2023) • No Venue
  Yan et al.
• Adapt: As-needed Decomposition And Planning With Language Models (2023) • No Venue
  Prasad et al.
• Hugginggpt: Solving AI Tasks With Chatgpt And Its Friends In Hugging Face (2023) • Arxiv • 264 citations
  Shen et al.
• Alexa, Play With Robot: Introducing The First Alexa Prize Simbot Challenge On Embodied AI (2023) • No Venue
  Shi et al.
• GPT-4V In Wonderland: Large Multimodal Models For Zero-shot Smartphone GUI Navigation (2023) • No Venue
  Yan et al.
• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 90 citations
  Lu et al.
• Musicagent: An AI Agent For Music Understanding And Generation With Large Language Models (2023) • No Venue
  Yu et al.
• Technical Report: Large Language Models Can Strategically Deceive Their Users When Put Under Pressure (2023) • No Venue
  Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
• BOLAA: Benchmarking And Orchestrating Llm-augmented Autonomous Agents (2023) • No Venue
  Liu et al.
• Agentbench: Evaluating Llms As Agents (2023) • No Venue
  Liu et al.
• LASER: LLM Agent With State-space Exploration For Web Navigation (2023) • No Venue
  Ma et al.
• Appagent: Multimodal Agents As Smartphone Users (2023) • No Venue
  Zhang et al.
• M3dbench: Let's Instruct Large Models With Multi-modal 3D Prompts (2023) • No Venue
  Li et al.
• Modelscope-agent: Building Your Customizable Agent System With Open-source Large Language Models (2023) • No Venue
  Li et al.

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Code 1726 papers #

• Can We Predict Before Executing Machine Learning Agents? (2026) • No Venue
  Zheng et al.
• Samtok: Representing Any Mask With Two Words (2026) • No Venue
  Zhou et al.
• AT^2PO: Agentic Turn-based Policy Optimization Via Tree Search (2026) • No Venue
  Zong et al.
• Abc-bench: Benchmarking Agentic Backend Coding In Real-world Development (2026) • No Venue
  Yang et al.
• Infinitevggt: Visual Geometry Grounded Transformer For Endless Streams (2026) • No Venue
  Yuan et al.
• Learning To Discover At Test Time (2026) • No Venue
  Yuksekgonul et al.
• Davinci-dev: Agent-native Mid-training For Software Engineering (2026) • No Venue
  Zeng et al.
• Think3d: Thinking With Space For Spatial Reasoning (2026) • No Venue
  Zhang et al.
• Evofsm: Controllable Self-evolution For Deep Research With Finite State Machines (2026) • No Venue
  Zhang et al.
• Chaining The Evidence: Robust Reinforcement Learning For Deep Search Agents With Citation-aware Rubric Rewards (2026) • No Venue
  Zhang et al.
• Deepplanning: Benchmarking Long-horizon Agentic Planning With Verifiable Constraints (2026) • No Venue
  Zhang et al.
• Babyvision: Visual Reasoning Beyond Language (2026) • No Venue
  Chen et al.
• Futureomni: Evaluating Future Forecasting From Omni-modal Context For Multimodal Llms (2026) • No Venue
  Chen et al.
• Flashlabs Chroma 1.0: A Real-time End-to-end Spoken Dialogue Model With Personalized Voice Cloning (2026) • No Venue
  Chen et al.
• Llm-in-sandbox Elicits General Agentic Intelligence (2026) • No Venue
  Cheng et al.
• CGPT: Cluster-guided Partial Tables With Llm-generated Supervision For Table Retrieval (2026) • No Venue
  Chou et al.
• DARC: Decoupled Asymmetric Reasoning Curriculum For LLM Evolution (2026) • No Venue
  Shengda Fan, Xuyan Ye, Yankai Lin
• Stable-diffcoder: Pushing The Frontier Of Code Diffusion Large Language Model (2026) • No Venue
  Fan et al.
• Bizfinbench.v2: A Unified Dual-mode Bilingual Benchmark For Expert-level Financial Capability Alignment (2026) • No Venue
  Guo et al.
• LTX-2: Efficient Joint Audio-visual Foundation Model (2026) • No Venue
  Hacohen et al.
• Qwen3-tts Technical Report (2026) • No Venue
  Hu et al.
• Medical SAM3: A Foundation Model For Universal Prompt-driven Medical Image Segmentation (2026) • No Venue
  Jiang et al.
• Frankenmotion: Part-level Human Motion Generation And Composition (2026) • No Venue
  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• Toolprmbench: Evaluating And Advancing Process Reward Models For Tool-using Agents (2026) • No Venue
  Li et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• Numina-lean-agent: An Open And General Agentic Reasoning System For Formal Mathematics (2026) • No Venue
  Liu et al.
• Simplemem: Efficient Lifelong Memory For LLM Agents (2026) • No Venue
  Liu et al.
• Beyond Static Tools: Test-time Tool Evolution For Scientific Reasoning (2026) • No Venue
  Lu et al.
• Aligning Text, Code, And Vision: A Multi-objective Reinforcement Learning Framework For Text-to-visualization (2026) • No Venue
  Rahman et al.
• Evolving Programmatic Skill Networks (2026) • No Venue
  Haochen Shi, Xingdi Yuan, Bang Liu
• Envscaler: Scaling Tool-interactive Environments For LLM Agent Via Programmatic Synthesis (2026) • No Venue
  Song et al.
• World Craft: Agentic Framework To Create Visualizable Worlds Via Text (2026) • No Venue
  Sun et al.
• Multiplex Thinking: Reasoning Via Token-wise Branch-and-merge (2026) • No Venue
  Tang et al.
• Swe-pruner: Self-adaptive Context Pruning For Coding Agents (2026) • No Venue
  Wang et al.
• Render-of-thought: Rendering Textual Chain-of-thought As Images For Visual Latent Reasoning (2026) • No Venue
  Wang et al.
• Urban Socio-semantic Segmentation With Vision-language Reasoning (2026) • No Venue
  Wang et al.
• Visgym: Diverse, Customizable, Scalable Environments For Multimodal Agents (2026) • No Venue
  Wang et al.
• Knowme-bench: Benchmarking Person Understanding For Lifelong Digital Companions (2026) • No Venue
  Wu et al.
• A Pragmatic VLA Foundation Model (2026) • No Venue
  Wu et al.
• X-coder: Advancing Competitive Programming With Fully Synthetic Tasks, Solutions, And Tests (2026) • No Venue
  Wu et al.
• Token-level LLM Collaboration Via Fusionroute (2026) • No Venue
  Xiong et al.
• Illusions Of Confidence? Diagnosing LLM Truthfulness Via Neighborhood Consistency (2026) • No Venue
  Xu et al.
• The Confidence Dichotomy: Analyzing And Mitigating Miscalibration In Tool-use Agents (2026) • No Venue
  Xuan et al.
• Distribution-aligned Sequence Distillation For Superior Long-cot Reasoning (2026) • No Venue
  Yan et al.
• Livecodebench Pro: How Do Olympiad Medalists Judge Llms In Competitive Programming? (2025) • No Venue
  Zheng et al.
• Absolute Zero: Reinforced Self-play Reasoning With Zero Data (2025) • No Venue
  Zhao et al.
• Envisioning Beyond The Pixels: Benchmarking Reasoning-informed Visual Editing (2025) • No Venue
  Zhao et al.
• Doracycle: Domain-oriented Adaptation Of Unified Generative Model In Multimodal Cycles (2025) • No Venue
  Rui Zhao, Weijia Mao, Mike Zheng Shou
• Hifi-sr: A Unified Generative Transformer-convolutional Adversarial Network For High-fidelity Speech Super-resolution (2025) • No Venue
  Zhao et al.
• Genprm: Scaling Test-time Compute Of Process Reward Models Via Generative Reasoning (2025) • No Venue
  Zhao et al.
• Geometric-mean Policy Optimization (2025) • No Venue
  Zhao et al.
• Learning To Reason Without External Rewards (2025) • No Venue
  Zhao et al.
• Stronger Together: On-policy Reinforcement Learning For Collaborative Llms (2025) • No Venue
  Zhao et al.
• The Automated LLM Speedrunning Benchmark: Reproducing Nanogpt Improvements (2025) • No Venue
  Zhao et al.
• Ultrahr-100k: Enhancing UHR Image Synthesis With A Large-scale High-quality Dataset (2025) • No Venue
  Zhao et al.
• Omnialign-v: Towards Enhanced Alignment Of Mllms With Human Preference (2025) • No Venue
  Zhao et al.
• Agent Models: Internalizing Chain-of-action Generation Into Reasoning Models (2025) • No Venue
  Zhang et al.
• 70% Size, 100% Accuracy: Lossless LLM Compression For Efficient GPU Inference Via Dynamic-length Float (2025) • No Venue
  Zhang et al.
• 2.5 Years In Class: A Multimodal Textbook For Vision-language Pretraining (2025) • No Venue
  Zhang et al.
• Be Careful When Fine-tuning On Open-source Llms: Your Fine-tuning Data Could Be Secretly Stolen! (2025) • No Venue
  Zhang et al.
• Autoenv: Automated Environments For Measuring Cross-environment Agent Learning (2025) • No Venue
  Zhang et al.
• Aixiv: A Next-generation Open Access Ecosystem For Scientific Discovery Generated By AI Scientists (2025) • No Venue
  Zhang et al.
• Artifactsbench: Bridging The Visual-interactive Gap In LLM Code Generation Evaluation (2025) • No Venue
  Zhang et al.
• Batch Speculative Decoding Done Right (2025) • No Venue
  Zhang et al.
• Breaking The Data Barrier -- Building GUI Agents Through Task Generalization (2025) • No Venue
  Zhang et al.
• Codecriticbench: A Holistic Code Critique Benchmark For Large Language Models (2025) • No Venue
  Zhang et al.
• Chasing The Tail: Effective Rubric-based Reward Modeling For Large Language Model Post-training (2025) • No Venue
  Zhang et al.
• Coding Triangle: How Does Large Language Model Understand Code? (2025) • No Venue
  Zhang et al.
• Deepanalyze: Agentic Large Language Models For Autonomous Data Science (2025) • No Venue
  Zhang et al.
• Complex Logical Instruction Generation (2025) • No Venue
  Zhang et al.
• Framepainter: Endowing Interactive Image Editing With Video Diffusion Priors (2025) • No Venue
  Zhang et al.
• Enabling Versatile Controls For Video Diffusion Models (2025) • No Venue
  Zhang et al.
• Streaming 4D Visual Geometry Transformer (2025) • No Venue
  Zhuo et al.
• Omnimamba: Efficient And Unified Multimodal Understanding And Generation Via State Space Models (2025) • No Venue
  Zou et al.
• Latent Collaboration In Multi-agent Systems (2025) • No Venue
  Zou et al.
• GENIE: Gaussian Encoding For Neural Radiance Fields Interactive Editing (2025) • No Venue
  Zieliński et al.
• Hybridnorm: Towards Stable And Efficient Transformer Training Via Hybrid Normalization (2025) • No Venue
  Zhuo et al.
• Sageattention2++: A More Efficient Implementation Of Sageattention2 (2025) • No Venue
  Zhang et al.
• Sageattention3: Microscaling FP4 Attention For Inference And An Exploration Of 8-bit Training (2025) • No Venue
  Zhang et al.
• Soft Thinking: Unlocking The Reasoning Potential Of Llms In Continuous Concept Space (2025) • No Venue
  Zhang et al.
• Thyme: Think Beyond Images (2025) • No Venue
  Zhang et al.
• Turbodiffusion: Accelerating Video Diffusion Models By 100-200 Times (2025) • No Venue
  Zhang et al.
• Trivia: Self-supervised Fine-tuning Of Vision-language Models For Table Recognition (2025) • No Venue
  Zhang et al.
• Training-free Efficient Video Generation Via Dynamic Token Carving (2025) • No Venue
  Zhang et al.
• Tensor Product Attention Is All You Need (2025) • No Venue
  Zhang et al.
• T2r-bench: A Benchmark For Generating Article-level Reports From Real World Industrial Tables (2025) • No Venue
  Zhang et al.
• Speakervid-5m: A Large-scale High-quality Dataset For Audio-visual Dyadic Interactive Human Generation (2025) • No Venue
  Zhang et al.
• Swarmagentic: Towards Fully Automated Agentic System Generation Via Swarm Intelligence (2025) • No Venue
  Zhang et al.
• F2LLM Technical Report: Matching SOTA Embedding Performance With 6 Million Open-source Data (2025) • No Venue
  Zhang et al.
• MM-RLHF: The Next Step Forward In Multimodal LLM Alignment (2025) • No Venue
  Zhang et al.
• Group Relative Attention Guidance For Image Editing (2025) • No Venue
  Zhang et al.
• Innogym: Benchmarking The Innovation Potential Of AI Agents (2025) • No Venue
  Zhang et al.
• Lightthinker: Thinking Step-by-step Compression (2025) • No Venue
  Zhang et al.
• Qwen3 Embedding: Advancing Text Embedding And Reranking Through Foundation Models (2025) • No Venue
  Zhang et al.
• Pixel-sail: Single Transformer For Pixel-grounded Understanding (2025) • No Venue
  Zhang et al.
• Phystoolbench: Benchmarking Physical Tool Understanding For Mllms (2025) • No Venue
  Zhang et al.
• Othink-r1: Intrinsic Fast/slow Thinking Mode Switching For Over-reasoning Mitigation (2025) • No Venue
  Zhang et al.
• NAVIG: Natural Language-guided Analysis With Vision Language Models For Image Geo-localization (2025) • No Venue
  Zhang et al.
• MUG-V 10B: High-efficiency Training Pipeline For Large Video Generation Models (2025) • No Venue
  Zhang et al.
• Inverse Ifeval: Can Llms Unlearn Stubborn Training Conventions To Follow Real Instructions? (2025) • No Venue
  Zhang et al.
• Metamind: Modeling Human Social Thoughts With Metacognitive Multi-agent Systems (2025) • No Venue
  Zhang et al.
• Magic Mirror: Id-preserved Video Generation In Video Diffusion Transformers (2025) • No Venue
  Zhang et al.
• Leank: Learnable K Cache Channel Pruning For Efficient Decoding (2025) • No Venue
  Zhang et al.
• Pairuni: Pairwise Training For Unified Multimodal Language Models (2025) • No Venue
  Zheng et al.
• V-MAGE: A Game Evaluation Framework For Assessing Visual-centric Capabilities In Multimodal Large Language Models (2025) • No Venue
  Zheng et al.
• Lserve: Efficient Long-sequence LLM Serving With Unified Sparse Attention (2025) • No Venue
  Yang et al.
• Magma: A Foundation Model For Multimodal AI Agents (2025) • No Venue
  Yang et al.
• Mantis: A Versatile Vision-language-action Model With Disentangled Visual Foresight (2025) • No Venue
  Yang et al.
• Mmada: Multimodal Large Diffusion Language Models (2025) • No Venue
  Yang et al.
• Reasonflux: Hierarchical LLM Reasoning Via Scaling Thought Templates (2025) • No Venue
  Yang et al.
• Qwen3 Technical Report (2025) • No Venue
  Yang et al.
• Scaling Laws For Code: Every Programming Language Matters (2025) • No Venue
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• Thinking With Images Via Self-calling Agent (2025) • No Venue
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• Swe-smith: Scaling Data For Software Engineering Agents (2025) • No Venue
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• Ui2code^n: A Visual Language Model For Test-time Scalable Interactive Ui-to-code Generation (2025) • No Venue
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• Visionthink: Smart And Efficient Vision Language Model Via Reinforcement Learning (2025) • No Venue
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• Vector Prism: Animating Vector Graphics By Stratifying Semantic Structure (2025) • No Venue
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• Optimizing Chain-of-thought Reasoners Via Gradient Variance Minimization In Rejection Sampling And RL (2025) • No Venue
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• Cake: Circuit-aware Editing Enables Generalizable Knowledge Learners (2025) • No Venue
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• Toolhop: A Query-driven Benchmark For Evaluating Large Language Models In Multi-hop Tool Use (2025) • No Venue
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• VLA-R1: Enhancing Reasoning In Vision-language-action Models (2025) • No Venue
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• Demystifying Long Chain-of-thought Reasoning In Llms (2025) • No Venue
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• ACECODER: Acing Coder RL Via Automated Test-case Synthesis (2025) • No Venue
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  Shi Yu, Zhiyuan Liu, Chenyan Xiong
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  Runpeng Yu, Xinyin Ma, Xinchao Wang
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• Dimple: Discrete Diffusion Multimodal Large Language Model With Parallel Decoding (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
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• RLPR: Extrapolating RLVR To General Domains Without Verifiers (2025) • No Venue
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• QUASAR: Quantum Assembly Code Generation Using Tool-augmented Llms Via Agentic RL (2025) • No Venue
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• Softpick: No Attention Sink, No Massive Activations With Rectified Softmax (2025) • No Venue
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• Lumos-1: On Autoregressive Video Generation From A Unified Model Perspective (2025) • No Venue
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• Give Me FP32 Or Give Me Death? Challenges And Solutions For Reproducible Reasoning (2025) • No Venue
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• ARWKV: Pretrain Is Not What We Need, An Rnn-attention-based Language Model Born From Transformer (2025) • No Venue
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  Muntasir Adnan, Zhiwei Xu, Carlos C. N. Kuhn
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  Nikolay Blagoev, Oğuzhan Ersoy, Lydia Yiyu Chen
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• Perception Encoder: The Best Visual Embeddings Are Not At The Output Of The Network (2025) • No Venue
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• Phygdpo: Physics-aware Groupwise Direct Preference Optimization For Physically Consistent Text-to-video Generation (2025) • No Venue
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• Code2video: A Code-centric Paradigm For Educational Video Generation (2025) • No Venue
  Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou
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• Coda: Agentic Systems For Collaborative Data Visualization (2025) • No Venue
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• Blip3-o: A Family Of Fully Open Unified Multimodal Models-architecture, Training And Dataset (2025) • No Venue
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• Fusionaudio-1.2m: Towards Fine-grained Audio Captioning With Multimodal Contextual Fusion (2025) • No Venue
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• Dparallel: Learnable Parallel Decoding For Dllms (2025) • No Venue
  Chen et al.
• Dc-videogen: Efficient Video Generation With Deep Compression Video Autoencoder (2025) • No Venue
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• Evolve The Method, Not The Prompts: Evolutionary Synthesis Of Jailbreak Attacks On Llms (2025) • No Venue
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• G1: Bootstrapping Perception And Reasoning Abilities Of Vision-language Model Via Reinforcement Learning (2025) • No Venue
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• Logquant: Log-distributed 2-bit Quantization Of KV Cache With Superior Accuracy Preservation (2025) • No Venue
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• Locagent: Graph-guided LLM Agents For Code Localization (2025) • No Venue
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• Mathse: Improving Multimodal Mathematical Reasoning Via Self-evolving Iterative Reflection And Reward-guided Fine-tuning (2025) • No Venue
  Chen et al.
• Lumosflow: Motion-guided Long Video Generation (2025) • No Venue
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• Mathflow: Enhancing The Perceptual Flow Of Mllms For Visual Mathematical Problems (2025) • No Venue
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• RM-R1: Reward Modeling As Reasoning (2025) • No Venue
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• Mint-cot: Enabling Interleaved Visual Tokens In Mathematical Chain-of-thought Reasoning (2025) • No Venue
  Chen et al.
• Musixqa: Advancing Visual Music Understanding In Multimodal Large Language Models (2025) • No Venue
  Chen et al.
• Swe-exp: Experience-driven Software Issue Resolution (2025) • No Venue
  Chen et al.
• Robotwin 2.0: A Scalable Data Generator And Benchmark With Strong Domain Randomization For Robust Bimanual Robotic Manipulation (2025) • No Venue
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• S^2-guidance: Stochastic Self Guidance For Training-free Enhancement Of Diffusion Models (2025) • No Venue
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• Shieldagent: Shielding Agents Via Verifiable Safety Policy Reasoning (2025) • No Venue
  Zhaorun Chen, Mintong Kang, Bo Li
• Svgenius: Benchmarking Llms In SVG Understanding, Editing And Generation (2025) • No Venue
  Chen et al.
• WINA: Weight Informed Neuron Activation For Accelerating Large Language Model Inference (2025) • No Venue
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• Univid: Unifying Vision Tasks With Pre-trained Video Generation Models (2025) • No Venue
  Lan Chen, Yuchao Gu, Qi Mao
• Think With 3D: Geometric Imagination Grounded Spatial Reasoning From Limited Views (2025) • No Venue
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• Ui-ins: Enhancing GUI Grounding With Multi-perspective Instruction-as-reasoning (2025) • No Venue
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• Verithinker: Learning To Verify Makes Reasoning Model Efficient (2025) • No Venue
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• X-dancer: Expressive Music To Human Dance Video Generation (2025) • No Venue
  Chen et al.
• Animegamer: Infinite Anime Life Simulation With Next Game State Prediction (2025) • No Venue
  Cheng et al.
• Optimizing Length Compression In Large Reasoning Models (2025) • No Venue
  Cheng et al.
• DEER: Draft With Diffusion, Verify With Autoregressive Models (2025) • No Venue
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• Glyph: Scaling Context Windows Via Visual-text Compression (2025) • No Venue
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• Revisiting Reinforcement Learning For LLM Reasoning From A Cross-domain Perspective (2025) • No Venue
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• Parallel-r1: Towards Parallel Thinking Via Reinforcement Learning (2025) • No Venue
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• Hscodecomp: A Realistic And Expert-level Benchmark For Deep Search Agents In Hierarchical Rule Application (2025) • No Venue
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• Hermesflow: Seamlessly Closing The Gap In Multimodal Understanding And Generation (2025) • No Venue
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• Fusechat-3.0: Preference Optimization Meets Heterogeneous Model Fusion (2025) • No Venue
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• From Code Foundation Models To Agents And Applications: A Practical Guide To Code Intelligence (2025) • No Venue
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• Embodiedbench: Comprehensive Benchmarking Multi-modal Large Language Models For Vision-driven Embodied Agents (2025) • No Venue
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• Dpo-shift: Shifting The Distribution Of Direct Preference Optimization (2025) • No Venue
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• Codeclash: Benchmarking Goal-oriented Software Engineering (2025) • No Venue
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• Captionqa: Is Your Caption As Useful As The Image Itself? (2025) • No Venue
  Yang et al.
• Can Llms Generate High-quality Test Cases For Algorithm Problems? Testcase-eval: A Systematic Evaluation Of Fault Coverage And Exposure (2025) • No Venue
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• Oceangym: A Benchmark Environment For Underwater Embodied Agents (2025) • No Venue
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• Simpletir: End-to-end Reinforcement Learning For Multi-turn Tool-integrated Reasoning (2025) • No Venue
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• The AI Scientist-v2: Workshop-level Automated Scientific Discovery Via Agentic Tree Search (2025) • No Venue
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• Gpt-imgeval: A Comprehensive Benchmark For Diagnosing Gpt4o In Image Generation (2025) • No Venue
  Yan et al.
• Re:form -- Reducing Human Priors In Scalable Formal Software Verification With RL In Llms: A Preliminary Study On Dafny (2025) • No Venue
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• Predicting The Order Of Upcoming Tokens Improves Language Modeling (2025) • No Venue
  Zayd M. K. Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
• Muddformer: Breaking Residual Bottlenecks In Transformers Via Multiway Dynamic Dense Connections (2025) • No Venue
  Xiao et al.
• Analyzing Llms' Knowledge Boundary Cognition Across Languages Through The Lens Of Internal Representations (2025) • No Venue
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• Ui-genie: A Self-improving Approach For Iteratively Boosting Mllm-based Mobile GUI Agents (2025) • No Venue
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• FG-CLIP 2: A Bilingual Fine-grained Vision-language Alignment Model (2025) • No Venue
  Xie et al.
• Swe-fixer: Training Open-source Llms For Effective And Efficient Github Issue Resolution (2025) • No Venue
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• Mme-unify: A Comprehensive Benchmark For Unified Multimodal Understanding And Generation Models (2025) • No Venue
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• Scaling Computer-use Grounding Via User Interface Decomposition And Synthesis (2025) • No Venue
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• Show-o2: Improved Native Unified Multimodal Models (2025) • No Venue
  Jinheng Xie, Zhenheng Yang, Mike Zheng Shou
• Teaching Language Models To Critique Via Reinforcement Learning (2025) • No Venue
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• Unleashing The Potential Of Large Language Models For Text-to-image Generation Through Autoregressive Representation Alignment (2025) • No Venue
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• Caprl: Stimulating Dense Image Caption Capabilities Via Reinforcement Learning (2025) • No Venue
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• Lumina-dimoo: An Omni Diffusion Large Language Model For Multi-modal Generation And Understanding (2025) • No Venue
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• Can Large Vision Language Models Read Maps Like A Human? (2025) • No Venue
  Xing et al.
• Scalecap: Inference-time Scalable Image Captioning Via Dual-modality Debiasing (2025) • No Venue
  Xing et al.
• Reinforce-ada: An Adaptive Sampling Framework For Reinforce-style LLM Training (2025) • No Venue
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• Streamingvlm: Real-time Understanding For Infinite Video Streams (2025) • No Venue
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• Lopa: Scaling Dllm Inference Via Lookahead Parallel Decoding (2025) • No Venue
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• Kodcode: A Diverse, Challenging, And Verifiable Synthetic Dataset For Coding (2025) • No Venue
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• Easyedit2: An Easy-to-use Steering Framework For Editing Large Language Models (2025) • No Venue
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• Pokerbench: Training Large Language Models To Become Professional Poker Players (2025) • No Venue
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• Φ-decoding: Adaptive Foresight Sampling For Balanced Inference-time Exploration And Exploitation (2025) • No Venue
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• Xattention: Block Sparse Attention With Antidiagonal Scoring (2025) • No Venue
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• Webvia: A Web-based Vision-language Agentic Framework For Interactive And Verifiable Ui-to-code Generation (2025) • No Venue
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• Vs-bench: Evaluating Vlms For Strategic Reasoning And Decision-making In Multi-agent Environments (2025) • No Venue
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• Tinyv: Reducing False Negatives In Verification Improves RL For LLM Reasoning (2025) • No Venue
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• Jodi: Unification Of Visual Generation And Understanding Via Joint Modeling (2025) • No Venue
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• Genius: A Generalizable And Purely Unsupervised Self-training Framework For Advanced Reasoning (2025) • No Venue
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• Improved Iterative Refinement For Chart-to-code Generation Via Structured Instruction (2025) • No Venue
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• Show-o Turbo: Towards Accelerated Unified Multimodal Understanding And Generation (2025) • No Venue
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• Relearn: Unlearning Via Learning For Large Language Models (2025) • No Venue
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• Ravine: Reality-aligned Evaluation For Agentic Search (2025) • No Venue
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• MARS2 2025 Challenge On Multimodal Reasoning: Datasets, Methods, Results, Discussion, And Outlook (2025) • No Venue
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• Probing Scientific General Intelligence Of Llms With Scientist-aligned Workflows (2025) • No Venue
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• Mcp-bench: Benchmarking Tool-using LLM Agents With Complex Real-world Tasks Via MCP Servers (2025) • No Venue
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• Chain-of-experts: Unlocking The Communication Power Of Mixture-of-experts Models (2025) • No Venue
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• ASPO: Asymmetric Importance Sampling Policy Optimization (2025) • No Venue
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• Adatooler-v: Adaptive Tool-use For Images And Videos (2025) • No Venue
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• Aethercode: Evaluating Llms' Ability To Win In Premier Programming Competitions (2025) • No Venue
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• Bitvla: 1-bit Vision-language-action Models For Robotics Manipulation (2025) • No Venue
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• Autoregressive Semantic Visual Reconstruction Helps Vlms Understand Better (2025) • No Venue
  Wang et al.
• CODESYNC: Synchronizing Large Language Models With Dynamic Code Evolution At Scale (2025) • No Venue
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• Cmphysbench: A Benchmark For Evaluating Large Language Models In Condensed Matter Physics (2025) • No Venue
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• Co-evolving LLM Coder And Unit Tester Via Reinforcement Learning (2025) • No Venue
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• Comorag: A Cognitive-inspired Memory-organized RAG For Stateful Long Narrative Reasoning (2025) • No Venue
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• Confucius Code Agent: An Open-sourced AI Software Engineer At Industrial Scale (2025) • No Venue
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• Mathcoder-vl: Bridging Vision And Code For Enhanced Multimodal Mathematical Reasoning (2025) • No Venue
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• DUMP: Automated Distribution-level Curriculum Learning For Rl-based LLM Post-training (2025) • No Venue
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• Declip: Decoupled Learning For Open-vocabulary Dense Perception (2025) • No Venue
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• Diffusion Llms Can Do Faster-than-ar Inference Via Discrete Diffusion Forcing (2025) • No Venue
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• Drivel-ology: Challenging Llms With Interpreting Nonsense With Depth (2025) • No Venue
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• Epicoder: Encompassing Diversity And Complexity In Code Generation (2025) • No Venue
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• Fintagging: An Llm-ready Benchmark For Extracting And Structuring Financial Information (2025) • No Venue
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• Internvl3.5: Advancing Open-source Multimodal Models In Versatility, Reasoning, And Efficiency (2025) • No Venue
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• Jigsaw-r1: A Study Of Rule-based Visual Reinforcement Learning With Jigsaw Puzzles (2025) • No Venue
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• Lightbagel: A Light-weighted, Double Fusion Framework For Unified Multimodal Understanding And Generation (2025) • No Venue
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• Lifelong Safety Alignment For Language Models (2025) • No Venue
  Wang et al.
• Scale-distribution Decoupling: Enabling Stable And Effective Training Of Large Language Models (2025) • No Venue
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• Morphobench: A Benchmark With Difficulty Adaptive To Model Reasoning (2025) • No Venue
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• Monet: Reasoning In Latent Visual Space Beyond Images And Language (2025) • No Venue
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• Omniear: Benchmarking Agent Reasoning In Embodied Tasks (2025) • No Venue
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• OTC: Optimal Tool Calls Via Reinforcement Learning (2025) • No Venue
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• Opencua: Open Foundations For Computer-use Agents (2025) • No Venue
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• Safeguarding Vision-language Models: Mitigating Vulnerabilities To Gaussian Noise In Perturbation-based Attacks (2025) • No Venue
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• RAGEN: Understanding Self-evolution In LLM Agents Via Multi-turn Reinforcement Learning (2025) • No Venue
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• Promptbridge: Cross-model Prompt Transfer For Large Language Models (2025) • No Venue
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• Remasking Discrete Diffusion Models With Inference-time Scaling (2025) • No Venue
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• Reinforcement Learning For Reasoning In Large Language Models With One Training Example (2025) • No Venue
  Wang et al.
• Revolutionizing Reinforcement Learning Framework For Diffusion Large Language Models (2025) • No Venue
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• Test-time Scaling With Reflective Generative Model (2025) • No Venue
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• Sparser Block-sparse Attention Via Token Permutation (2025) • No Venue
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• Scievalkit: An Open-source Evaluation Toolkit For Scientific General Intelligence (2025) • No Venue
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• Scaling Laws In Patchification: An Image Is Worth 50,176 Tokens And More (2025) • No Venue
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• Scireasoner: Laying The Scientific Reasoning Ground Across Disciplines (2025) • No Venue
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• Simplear: Pushing The Frontier Of Autoregressive Visual Generation Through Pretraining, SFT, And RL (2025) • No Venue
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• Sota With Less: Mcts-guided Sample Selection For Data-efficient Visual Reasoning Self-improvement (2025) • No Venue
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• Temporal Self-rewarding Language Models: Decoupling Chosen-rejected Via Past-future (2025) • No Venue
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  Weijia Wu, Zeyu Zhu, Mike Zheng Shou
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  Haoran Wei, Yaofeng Sun, Yukun Li
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  Jake Poznanski, Luca Soldaini, Kyle Lo
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  Corrado Rainone, Tim Bakker, Roland Memisevic
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  Nadav Schneider, Itamar Zimerman, Eliya Nachmani
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  Peng Sun, Yi Jiang, Tao Lin
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• Diffusion-sharpening: Fine-tuning Diffusion Models With Denoising Trajectory Sharpening (2025) • No Venue
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• More Thought, Less Accuracy? On The Dual Nature Of Reasoning In Vision-language Models (2025) • No Venue
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• Patch-as-decodable-token: Towards Unified Multi-modal Vision Tasks In Mllms (2025) • No Venue
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• Time-to-move: Training-free Motion Controlled Video Generation Via Dual-clock Denoising (2025) • No Venue
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• When To Solve, When To Verify: Compute-optimal Problem Solving And Generative Verification For LLM Reasoning (2025) • No Venue
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• Can Language Models Falsify? Evaluating Algorithmic Reasoning With Counterexample Creation (2025) • No Venue
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• T-lora: Single Image Diffusion Model Customization Without Overfitting (2025) • No Venue
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• Seed Diffusion: A Large-scale Diffusion Language Model With High-speed Inference (2025) • No Venue
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  Nikita Sorokin, Ivan Sedykh, Valentin Malykh
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  Ankit Sonthalia, Arnas Uselis, Seong Joon Oh
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• CHIMERA: A Knowledge Base Of Idea Recombination In Scientific Literature (2025) • No Venue
  Noy Sternlicht, Tom Hope
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• Scrub It Out! Erasing Sensitive Memorization In Code Language Models Via Machine Unlearning (2025) • No Venue
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• Learning From Failures In Multi-attempt Reinforcement Learning (2025) • No Venue
  Stephen Chung, Wenyu Du, Jie Fu
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• Deepresearchgym: A Free, Transparent, And Reproducible Evaluation Sandbox For Deep Research (2025) • No Venue
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• Reinforcement Learning For Reasoning In Small Llms: What Works And What Doesn't (2025) • No Venue
  Quy-Anh Dang, Chris Ngo
• Left|,circlearrowright,text{bus},right|: A Large And Diverse Multimodal Benchmark For Evaluating The Ability Of Vision-language Models To Understand Rebus Puzzles (2025) • No Venue
  Das et al.
• Emerging Properties In Unified Multimodal Pretraining (2025) • No Venue
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• Duoguard: A Two-player Rl-driven Framework For Multilingual LLM Guardrails (2025) • No Venue
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• Can We Generate Images With Cot? Let's Verify And Reinforce Image Generation Step By Step (2025) • No Venue
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• Rbench-v: A Primary Assessment For Visual Reasoning Models With Multi-modal Outputs (2025) • No Venue
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• From RAG To Memory: Non-parametric Continual Learning For Large Language Models (2025) • No Venue
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• Can Large Language Models Detect Errors In Long Chain-of-thought Reasoning? (2025) • No Venue
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• Pasa: An LLM Agent For Comprehensive Academic Paper Search (2025) • No Venue
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• Use Property-based Testing To Bridge LLM Code Generation And Validation (2025) • No Venue
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• CASS: Nvidia To AMD Transpilation With Data, Models, And Benchmark (2025) • No Venue
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• Guaranteed Guess: A Language Modeling Approach For Cisc-to-risc Transpilation With Testing Guarantees (2025) • No Venue
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• Deepeyesv2: Toward Agentic Multimodal Model (2025) • No Venue
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• Olmoearth: Stable Latent Image Modeling For Multimodal Earth Observation (2025) • No Venue
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• Apertus: Democratizing Open And Compliant Llms For Global Language Environments (2025) • No Venue
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• A Sober Look At Progress In Language Model Reasoning: Pitfalls And Paths To Reproducibility (2025) • No Venue
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• Musicinfuser: Making Video Diffusion Listen And Dance (2025) • No Venue
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• Glm-4.1v-thinking: Towards Versatile Multimodal Reasoning With Scalable Reinforcement Learning (2025) • No Venue
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• Beyond 'aha!': Toward Systematic Meta-abilities Alignment In Large Reasoning Models (2025) • No Venue
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• Repair-r1: Better Test Before Repair (2025) • No Venue
  Haichuan Hu, Xiaochen Xie, Quanjun Zhang
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  Ting Huang, Zeyu Zhang, Hao Tang
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• Loong: Synthesize Long Chain-of-thoughts At Scale Through Verifiers (2025) • No Venue
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• Low-probability Tokens Sustain Exploration In Reinforcement Learning With Verifiable Reward (2025) • No Venue
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• Taming Hallucinations: Boosting Mllms' Video Understanding Via Counterfactual Video Generation (2025) • No Venue
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• Flowrl: Matching Reward Distributions For LLM Reasoning (2025) • No Venue
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• Ambik: Dataset Of Ambiguous Tasks In Kitchen Environment (2025) • No Venue
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• Is Safety Standard Same For Everyone? User-specific Safety Evaluation Of Large Language Models (2025) • No Venue
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  Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
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  Nandan Kumar Jha, Brandon Reagen
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• Alphadrive: Unleashing The Power Of Vlms In Autonomous Driving Via Reinforcement Learning And Reasoning (2025) • No Venue
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• T2I-R1: Reinforcing Image Generation With Collaborative Semantic-level And Token-level Cot (2025) • No Venue
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• Multimodal Llms Can Reason About Aesthetics In Zero-shot (2025) • No Venue
  Ruixiang Jiang, Changwen Chen
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• Continuous Diffusion Model For Language Modeling (2025) • No Venue
  Jaehyeong Jo, Sung Ju Hwang
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• UNCAGE: Contrastive Attention Guidance For Masked Generative Transformers In Text-to-image Generation (2025) • No Venue
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• Dualthor: A Dual-arm Humanoid Simulation Platform For Contingency-aware Planning (2025) • No Venue
  Li et al.
• Gir-bench: Versatile Benchmark For Generating Images With Reasoning (2025) • No Venue
  Li et al.
• GRAN-TED: Generating Robust, Aligned, And Nuanced Text Embedding For Diffusion Models (2025) • No Venue
  Li et al.
• JARVIS-VLA: Post-training Large-scale Vision Language Models To Play Visual Games With Keyboards And Mouse (2025) • No Venue
  Li et al.
• Insight-o3: Empowering Multimodal Foundation Models With Generalized Visual Search (2025) • No Venue
  Li et al.
• Langsplatv2: High-dimensional 3D Language Gaussian Splatting With 450+ FPS (2025) • No Venue
  Li et al.
• Migician: Revealing The Magic Of Free-form Multi-image Grounding In Multimodal Large Language Models (2025) • No Venue
  Li et al.
• Ovo-bench: How Far Is Your Video-llms From Real-world Online Video Understanding? (2025) • No Venue
  Li et al.
• PRIMA.CPP: Speeding Up 70b-scale LLM Inference On Low-resource Everyday Home Clusters (2025) • No Venue
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• S*: Test Time Scaling For Code Generation (2025) • No Venue
  Li et al.
• Reportbench: Evaluating Deep Research Agents Via Academic Survey Tasks (2025) • No Venue
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• Relook: Vision-grounded RL With A Multimodal LLM Critic For Agentic Web Coding (2025) • No Venue
  Li et al.
• Repo: Language Models With Context Re-positioning (2025) • No Venue
  Huayang Li, Tianyu Zhao, Richard Sproat
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  Li et al.
• Semantically-aware Rewards For Open-ended R1 Training In Free-form Generation (2025) • No Venue
  Li et al.
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• Structflowbench: A Structured Flow Benchmark For Multi-turn Instruction Following (2025) • No Venue
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• START: Self-taught Reasoner With Tools (2025) • No Venue
  Li et al.
• Tempsamp-r1: Effective Temporal Sampling With Reinforcement Fine-tuning For Video Llms (2025) • No Venue
  Li et al.
• Syzygy Of Thoughts: Improving LLM Cot With The Minimal Free Resolution (2025) • No Venue
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• Tokdrift: When LLM Speaks In Subwords But Code Speaks In Grammar (2025) • No Venue
  Yinxi Li, Yuntian Deng, Pengyu Nie
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  Li et al.
• Uniworld-v2: Reinforce Image Editing With Diffusion Negative-aware Finetuning And MLLM Implicit Feedback (2025) • No Venue
  Li et al.
• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
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• Where To Find Grokking In LLM Pretraining? Monitor Memorization-to-generalization Without Test (2025) • No Venue
  Ziyue Li, Chenrui Fan, Tianyi Zhou
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• Va-π: Variational Policy Alignment For Pixel-aware Autoregressive Generation (2025) • No Venue
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  Lian et al.
• Euclid's Gift: Enhancing Spatial Perception And Reasoning In Vision-language Models Via Geometric Surrogate Tasks (2025) • No Venue
  Lian et al.
• Thinking With Camera: A Unified Multimodal Model For Camera-centric Understanding And Generation (2025) • No Venue
  Liao et al.
• Dataflow: An Llm-driven Framework For Unified Data Preparation And Workflow Automation In The Era Of Data-centric AI (2025) • No Venue
  Liang et al.
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  Liang et al.
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  Liao et al.
• Improved Visual-spatial Reasoning Via R1-zero-like Training (2025) • No Venue
  Liao et al.
• Multimodal Mamba: Decoder-only Multimodal State Space Model Via Quadratic To Linear Distillation (2025) • No Venue
  Liao et al.
• Computer-use Agents As Judges For Generative User Interface (2025) • No Venue
  Lin et al.
• Understanding Tool-integrated Reasoning (2025) • No Venue
  Heng Lin, Zhongwen Xu
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  Lin et al.
• Metaladder: Ascending Mathematical Solution Quality Via Analogical-problem Reasoning Transfer (2025) • No Venue
  Lin et al.
• Forgetting Transformer: Softmax Attention With A Forget Gate (2025) • No Venue
  Lin et al.
• Partcrafter: Structured 3D Mesh Generation Via Compositional Latent Diffusion Transformers (2025) • No Venue
  Lin et al.
• Scaling Code-assisted Chain-of-thoughts And Instructions For Model Reasoning (2025) • No Venue
  Lin et al.
• Vcode: A Multimodal Coding Benchmark With SVG As Symbolic Visual Representation (2025) • No Venue
  Lin et al.
• Longemotion: Measuring Emotional Intelligence Of Large Language Models In Long-context Interaction (2025) • No Venue
  Liu et al.
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  Liu et al.
• Acereason-nemotron 1.1: Advancing Math And Code Reasoning Through SFT And RL Synergy (2025) • No Venue
  Liu et al.
• Agent0-vl: Exploring Self-evolving Agent For Tool-integrated Vision-language Reasoning (2025) • No Venue
  Liu et al.
• Fone: Precise Single-token Number Embeddings Via Fourier Features (2025) • No Venue
  Zhou et al.
• Landscape Of Thoughts: Visualizing The Reasoning Process Of Large Language Models (2025) • No Venue
  Zhou et al.
• Infecting Generative AI With Viruses (2025) • No Venue
  David Noever, Forrest McKee
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• Can Large Language Models Capture Human Annotator Disagreements? (2025) • No Venue
  Ni et al.
• Versatileffn: Achieving Parameter Efficiency In Llms Via Adaptive Wide-and-deep Reuse (2025) • No Venue
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  Ni et al.
• Semviqa: A Semantic Question Answering System For Vietnamese Information Fact-checking (2025) • No Venue
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• Smoldocling: An Ultra-compact Vision-language Model For End-to-end Multi-modal Document Conversion (2025) • No Venue
  Nassar et al.
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  Nakamura et al.
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  Meng et al.
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  Mescheder et al.
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  Mikhailov et al.
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  Min et al.
• ORIGEN: Zero-shot 3D Orientation Grounding In Text-to-image Generation (2025) • No Venue
  Min et al.
• Mergenetic: A Simple Evolutionary Model Merging Library (2025) • No Venue
  Minut et al.
• Search Arena: Analyzing Search-augmented Llms (2025) • No Venue
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  Mo et al.
• TF1-EN-3M: Three Million Synthetic Moral Fables For Training Small, Open Language Models (2025) • No Venue
  Nadas et al.
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  J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
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• Do Generative Video Models Learn Physical Principles From Watching Videos? (2025) • No Venue
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  Muennighoff et al.
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  Zhou et al.
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  Zhou et al.
• Bizfinbench: A Business-driven Real-world Financial Benchmark For Evaluating Llms (2025) • No Venue
  Lu et al.
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  Zhou et al.
• Seeing, Listening, Remembering, And Reasoning: A Multimodal Agent With Long-term Memory (2025) • No Venue
  Long et al.
• Ovi: Twin Backbone Cross-modal Fusion For Audio-video Generation (2025) • No Venue
  Chetwin Low, Weimin Wang, Calder Katyal
• Av-reasoner: Improving And Benchmarking Clue-grounded Audio-visual Counting For Mllms (2025) • No Venue
  Lu et al.
• Neural-driven Image Editing (2025) • No Venue
  Zhou et al.
• Does FLUX Already Know How To Perform Physically Plausible Image Composition? (2025) • No Venue
  Lu et al.
• Moba: Mixture Of Block Attention For Long-context Llms (2025) • No Venue
  Lu et al.
• UI-S1: Advancing GUI Automation Via Semi-online Reinforcement Learning (2025) • No Venue
  Lu et al.
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  Lu et al.
• STEVE: Astep Verification Pipeline For Computer-use Agent Training (2025) • No Venue
  Lu et al.
• Executable Knowledge Graphs For Replicating AI Research (2025) • No Venue
  Luo et al.
• Webgen-agent: Enhancing Interactive Website Generation With Multi-level Feedback And Step-level Reinforcement Learning (2025) • No Venue
  Lu et al.
• Agent Lightning: Train ANY AI Agents With Reinforcement Learning (2025) • No Venue
  Luo et al.
• Adar1: From Long-cot To Hybrid-cot Via Bi-level Adaptive Reasoning Optimization (2025) • No Venue
  Luo et al.
• Reinforcing General Reasoning Without Verifiers (2025) • No Venue
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• Streambp: Memory-efficient Exact Backpropagation For Long Sequence Training Of Llms (2025) • No Venue
  Luo et al.
• Open Captchaworld: A Comprehensive Web-based Platform For Testing And Benchmarking Multimodal LLM Agents (2025) • No Venue
  Luo et al.
• Language Models Can Learn From Verbal Feedback Without Scalar Rewards (2025) • No Venue
  Luo et al.
• Learning From Peers In Reasoning Models (2025) • No Venue
  Luo et al.
• O1-pruner: Length-harmonizing Fine-tuning For O1-like Reasoning Pruning (2025) • No Venue
  Luo et al.
• Mono-internvl-1.5: Towards Cheaper And Faster Monolithic Multimodal Large Language Models (2025) • No Venue
  Luo et al.
• RPG: A Repository Planning Graph For Unified And Scalable Codebase Generation (2025) • No Venue
  Luo et al.
• Reinforcing Diffusion Models By Direct Group Preference Optimization (2025) • No Venue
  Yihong Luo, Tianyang Hu, Jing Tang
• Rewards Are Enough For Fast Photo-realistic Text-to-image Generation (2025) • No Venue
  Luo et al.
• URSA: Understanding And Verifying Chain-of-thought Reasoning In Multimodal Mathematics (2025) • No Venue
  Luo et al.
• Duodecoding: Hardware-aware Heterogeneous Speculative Decoding With Dynamic Multi-sequence Drafting (2025) • No Venue
  Lv et al.
• The Climb Carves Wisdom Deeper Than The Summit: On The Noisy Rewards In Learning To Reason (2025) • No Venue
  Lv et al.
• Exploring The Limit Of Outcome Reward For Learning Mathematical Reasoning (2025) • No Venue
  Lyu et al.
• Pixelworld: Towards Perceiving Everything As Pixels (2025) • No Venue
  Zhiheng Lyu, Xueguang Ma, Wenhu Chen
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  Bohan Lyu, Siqiao Huang, Zichen Liang
• Rethinking Verification For LLM Code Generation: From Generation To Testing (2025) • No Venue
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• Gemstones: A Model Suite For Multi-faceted Scaling Laws (2025) • No Venue
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  Weijia Mao, Zhenheng Yang, Mike Zheng Shou
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  Mao et al.
• No Task Left Behind: Isotropic Model Merging With Common And Task-specific Subspaces (2025) • No Venue
  Marczak et al.
• AICC: Parse HTML Finer, Make Models Better -- A 7.3T Ai-ready Corpus Built By A Model-based HTML Parser (2025) • No Venue
  Ma et al.
• Dynamic Scaling Of Unit Tests For Code Reward Modeling (2025) • No Venue
  Ma et al.
• Dover: Intervention-driven Auto Debugging For LLM Multi-agent Systems (2025) • No Venue
  Ma et al.
• Deliberation On Priors: Trustworthy Reasoning Of Large Language Models On Knowledge Graphs (2025) • No Venue
  Ma et al.
• Hpsv3: Towards Wide-spectrum Human Preference Score (2025) • No Venue
  Ma et al.
• Genhancer: Imperfect Generative Models Are Secretly Strong Vision-centric Enhancers (2025) • No Venue
  Ma et al.
• Progressive Rendering Distillation: Adapting Stable Diffusion For Instant Text-to-mesh Generation Without 3D Data (2025) • No Venue
  Ma et al.
• Emergenttts-eval: Evaluating TTS Models On Complex Prosodic, Expressiveness, And Linguistic Challenges Using Model-as-a-judge (2025) • No Venue
  Manku et al.
• Slamming: Training A Speech Language Model On One GPU In A Day (2025) • No Venue
  Gallil Maimon, Avishai Elmakies, Yossi Adi
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  Maity et al.
• Unitok: A Unified Tokenizer For Visual Generation And Understanding (2025) • No Venue
  Ma et al.
• S^2R: Teaching Llms To Self-verify And Self-correct Via Reinforcement Learning (2025) • No Venue
  Ma et al.
• Step-video-t2v Technical Report: The Practice, Challenges, And Future Of Video Foundation Model (2025) • No Venue
  Ma et al.
• Tool-integrated Reinforcement Learning For Repo Deep Search (2025) • No Venue
  Ma et al.
• Veomni: Scaling Any Modality Model Training With Model-centric Distributed Recipe Zoo (2025) • No Venue
  Ma et al.
• CPGD: Toward Stable Rule-based Reinforcement Learning For Language Models (2025) • No Venue
  Liu et al.
• Compassverifier: A Unified And Robust Verifier For Llms Evaluation And Outcome Reward (2025) • No Venue
  Liu et al.
• CCI4.0: A Bilingual Pretraining Dataset For Enhancing Reasoning In Large Language Models (2025) • No Venue
  Liu et al.
• Chineseharm-bench: A Chinese Harmful Content Detection Benchmark (2025) • No Venue
  Liu et al.
• Fin-r1: A Large Language Model For Financial Reasoning Through Reinforcement Learning (2025) • No Venue
  Liu et al.
• Exploring The Inquiry-diagnosis Relationship With Advanced Patient Simulators (2025) • No Venue
  Liu et al.
• Drivepi: Spatial-aware 4D MLLM For Unified Autonomous Driving Understanding, Perception, Prediction And Planning (2025) • No Venue
  Liu et al.
• Guardreasoner-vl: Safeguarding Vlms Via Reinforced Reasoning (2025) • No Venue
  Liu et al.
• Gear: Generation Augmented Retrieval (2025) • No Venue
  Liu et al.
• FUSION: Fully Integration Of Vision-language Representations For Deep Cross-modal Understanding (2025) • No Venue
  Liu et al.
• Javisdit: Joint Audio-video Diffusion Transformer With Hierarchical Spatio-temporal Prior Synchronization (2025) • No Venue
  Liu et al.
• Pc-agent: A Hierarchical Multi-agent Collaboration Framework For Complex Task Automation On PC (2025) • No Venue
  Liu et al.
• Ola: Pushing The Frontiers Of Omni-modal Language Model With Progressive Modality Alignment (2025) • No Venue
  Liu et al.
• Longvideoagent: Multi-agent Reasoning With Long Videos (2025) • No Venue
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• Medsam3: Delving Into Segment Anything With Medical Concepts (2025) • No Venue
  Liu et al.
• MOSAIC: Modeling Social AI For Content Dissemination And Regulation In Multi-agent Simulations (2025) • No Venue
  Liu et al.
• On Relation-specific Neurons In Large Language Models (2025) • No Venue
  Liu et al.
• Olmotrace: Tracing Language Model Outputs Back To Trillions Of Training Tokens (2025) • No Venue
  Liu et al.
• PUSA V1.0: Surpassing Wan-i2v With $500 Training Cost By Vectorized Timestep Adaptation (2025) • No Venue
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• Rstar-coder: Scaling Competitive Code Reasoning With A Large-scale Verified Dataset (2025) • No Venue
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• Scalecua: Scaling Open-source Computer Use Agents With Cross-platform Data (2025) • No Venue
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• Shotbench: Expert-level Cinematic Understanding In Vision-language Models (2025) • No Venue
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• Songgen: A Single Stage Auto-regressive Transformer For Text-to-song Generation (2025) • No Venue
  Liu et al.
• Understanding R1-zero-like Training: A Critical Perspective (2025) • No Venue
  Liu et al.
• Youdream: Generating Anatomically Controllable Consistent Text-to-3d Animals (2024) • No Venue
  Sandeep Mishra, Oindrila Saha, Alan C. Bovik
• Hybrid Preferences: Learning To Route Instances For Human Vs. AI Feedback (2024) • No Venue
  Miranda et al.
• Compact Language Models Via Pruning And Knowledge Distillation (2024) • No Venue
  Muralidharan et al.
• Olmoe: Open Mixture-of-experts Language Models (2024) • No Venue
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• Bimedix2: Bio-medical Expert LMM For Diverse Medical Modalities (2024) • No Venue
  Mullappilly et al.
• Xland-100b: A Large-scale Multi-task Dataset For In-context Reinforcement Learning (2024) • No Venue
  Nikulin et al.
• Can Llms Learn By Teaching? A Preliminary Study (2024) • No Venue
  Ning et al.
• Oneke: A Dockerized Schema-guided LLM Agent-based Knowledge Extraction System (2024) • No Venue
  Luo et al.
• Molar: Multimodal Llms With Collaborative Filtering Alignment For Enhanced Sequential Recommendation (2024) • No Venue
  Luo et al.
• Improve Mathematical Reasoning In Language Models By Automated Process Supervision (2024) • No Venue
  Luo et al.
• Agentinstruct: Toward Generative Teaching With Agentic Flows (2024) • No Venue
  Mitra et al.
• Yesbut: A High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models (2024) • No Venue
  Nandy et al.
• Aurora-m: The First Open Source Multilingual Language Model Red-teamed According To The U.S. Executive Order (2024) • No Venue
  Nakamura et al.
• ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning (2024) • No Venue
  Mower et al.
• A Closer Look Into Mixture-of-experts In Large Language Models (2024) • No Venue
  Lo et al.
• Awaker2.5-vl: Stably Scaling Mllms With Parameter-efficient Mixture Of Experts (2024) • No Venue
  Long et al.
• Starcoder 2 And The Stack V2: The Next Generation (2024) • No Venue
  Lozhkov et al.
• The AI Scientist: Towards Fully Automated Open-ended Scientific Discovery (2024) • No Venue
  Lu et al.
• Step-controlled DPO: Leveraging Stepwise Error For Enhanced Mathematical Reasoning (2024) • No Venue
  Lu et al.
• Mathcoder2: Better Math Reasoning From Continued Pretraining On Model-translated Mathematical Code (2024) • No Venue
  Lu et al.
• Llamax: Scaling Linguistic Horizons Of LLM By Enhancing Translation Capabilities Beyond 100 Languages (2024) • No Venue
  Lu et al.
• From GPT-4 To Gemini And Beyond: Assessing The Landscape Of Mllms On Generalizability, Trustworthiness And Causality Through Four Modalities (2024) • No Venue
  Lu et al.
• Benchmarking Chinese Knowledge Rectification In Large Language Models (2024) • No Venue
  Lu et al.
• Osworld: Benchmarking Multimodal Agents For Open-ended Tasks In Real Computer Environments (2024) • No Venue
  Xie et al.
• Omniedit: Building Image Editing Generalist Models Through Specialist Supervision (2024) • No Venue
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• Nomic Embed: Training A Reproducible Long Context Text Embedder (2024) • No Venue
  Nussbaum et al.
• Xmodel-2 Technical Report (2024) • No Venue
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• Hellobench: Evaluating Long Text Generation Capabilities Of Large Language Models (2024) • No Venue
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• Language Models Can Self-lengthen To Generate Long Texts (2024) • No Venue
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• Mastering Text-to-image Diffusion: Recaptioning, Planning, And Generating With Multimodal Llms (2024) • No Venue
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• Posterllava: Constructing A Unified Multi-modal Layout Generator With LLM (2024) • No Venue
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• On Memorization Of Large Language Models In Logical Reasoning (2024) • No Venue
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• Evaluating And Aligning Codellms On Human Preference (2024) • No Venue
  Yang et al.
• Layerwise Recurrent Router For Mixture-of-experts (2024) • No Venue
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• Ehrcon: Dataset For Checking Consistency Between Unstructured Notes And Structured Tables In Electronic Health Records (2024) • No Venue
  Kwon et al.
• TÜLU 3: Pushing Frontiers In Open Language Model Post-training (2024) • No Venue
  Lambert et al.
• Autowebglm: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent (2024) • No Venue
  Lai et al.
• Large Language Models As Planning Domain Generators (2024) • No Venue
  Oswald et al.
• Poro 34B And The Blessing Of Multilinguality (2024) • No Venue
  Luukkonen et al.
• Mode: CLIP Data Experts Via Clustering (2024) • No Venue
  Ma et al.
• Inf-llava: Dual-perspective Perception For High-resolution Multimodal Large Language Model (2024) • No Venue
  Ma et al.
• Whiteboard-of-thought: Thinking Step-by-step Across Modalities (2024) • No Venue
  Sachit Menon, Richard Zemel, Carl Vondrick
• Aria Everyday Activities Dataset (2024) • No Venue
  Lv et al.
• Dynasaur: Large Language Agents Beyond Predefined Actions (2024) • No Venue
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• Megalodon: Efficient LLM Pretraining And Inference With Unlimited Context Length (2024) • No Venue
  Ma et al.
• Preserving Multi-modal Capabilities Of Pre-trained Vlms For Improving Vision-linguistic Compositionality (2024) • No Venue
  Oh et al.
• Transformers Are Multi-state Rnns (2024) • No Venue
  Oren et al.
• RL For Consistency Models: Faster Reward Guided Text-to-image Generation (2024) • No Venue
  Oertell et al.
• Futga: Towards Fine-grained Music Understanding Through Temporally-enhanced Generative Augmentation (2024) • No Venue
  Wu et al.
• PALO: A Polyglot Large Multimodal Model For 5B People (2024) • No Venue
  Maaz et al.
• Story-adapter: A Training-free Iterative Framework For Long Story Visualization (2024) • No Venue
  Mao et al.
• Dreamer XL: Towards High-resolution Text-to-3d Generation Via Trajectory Score Matching (2024) • No Venue
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• Robocasa: Large-scale Simulation Of Everyday Tasks For Generalist Robots (2024) • No Venue
  Nasiriany et al.
• Unifying Multimodal Retrieval Via Document Screenshot Embedding (2024) • No Venue
  Ma et al.
• LLM Agent Operating System (2024) • No Venue
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• Chartgemma: Visual Instruction-tuning For Chart Reasoning In The Wild (2024) • No Venue
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• Codemmlu: A Multi-task Benchmark For Assessing Code Understanding Capabilities Of Codellms (2024) • No Venue
  Manh et al.
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• Openelm: An Efficient Language Model Family With Open-source Training And Inference Framework (2024) • No Venue
  Mehta et al.
• Anidoc: Animation Creation Made Easier (2024) • No Venue
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• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once On Gemma 2 (2024) • No Venue
  Lieberum et al.
• Open-sora Plan: Open-source Large Video Generation Model (2024) • No Venue
  Lin et al.
• Moe-llava: Mixture Of Experts For Large Vision-language Models (2024) • No Venue
  Lin et al.
• Llm-based Optimization Of Compound AI Systems: A Survey (2024) • No Venue
  Lin et al.
• Pixwizard: Versatile Image-to-image Visual Assistant With Open-language Instructions (2024) • No Venue
  Lin et al.
• AIM: Adaptive Inference Of Multi-modal Llms Via Token Merging And Pruning (2024) • No Venue
  Zhong et al.
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• Fictitious Synthetic Data Can Improve LLM Factuality Via Prerequisite Learning (2024) • No Venue
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  Haoyi Wu, Kewei Tu
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  Bin Lei, Yuchen Li, Qiuwu Chen
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  Wen-Ding Li, Kevin Ellis
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  Ajay Patel, Colin Raffel, Chris Callison-Burch
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  Xiaohuan Pei, Tao Huang, Chang Xu
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  Yuxiang Wei, Hojae Han, Rajhans Samdani
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  Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
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  Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang
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  Huy Nhat Phan, Phong X. Nguyen, Nghi D. Q. Bui
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• More Agents Is All You Need (2024) • No Venue
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• Mix-ln: Unleashing The Power Of Deeper Layers By Combining Pre-ln And Post-ln (2024) • No Venue
  Pengxiang Li, Lu Yin, Shiwei Liu
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• Omniflow: Any-to-any Generation With Multi-modal Rectified Flows (2024) • No Venue
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• Omnicorpus: A Unified Multimodal Corpus Of 10 Billion-level Images Interleaved With Text (2024) • No Venue
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• Retrollm: Empowering Large Language Models To Retrieve Fine-grained Evidence Within Generation (2024) • No Venue
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• Seed-bench-2-plus: Benchmarking Multimodal Large Language Models With Text-rich Visual Comprehension (2024) • No Venue
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• Synergen-vl: Towards Synergistic Image Understanding And Generation With Vision Experts And Token Folding (2024) • No Venue
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• Agentless: Demystifying Llm-based Software Engineering Agents (2024) • No Venue
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• Trecvit: A Recurrent Video Transformer (2024) • No Venue
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• Constraint Back-translation Improves Complex Instruction Following Of Large Language Models (2024) • No Venue
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• Yuan 2.0-M32: Mixture Of Experts With Attention Router (2024) • No Venue
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• Normalizing Flows Are Capable Generative Models (2024) • No Venue
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• O1-coder: An O1 Replication For Coding (2024) • No Venue
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• Mme-realworld: Could Your Multimodal LLM Challenge High-resolution Real-world Scenarios That Are Difficult For Humans? (2024) • No Venue
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• Multimodal Self-instruct: Synthetic Abstract Image And Visual Reasoning Instruction Using Language Model (2024) • No Venue
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• Omg-llava: Bridging Image-level, Object-level, Pixel-level Reasoning And Understanding (2024) • No Venue
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• Realcompo: Dynamic Equilibrium Between Realism And Compositionality Improves Text-to-image Diffusion Models (2024) • No Venue
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• OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation (2024) • No Venue
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• On The Diagram Of Thought (2024) • No Venue
  Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao
• POA: Pre-training Once For Models Of All Sizes (2024) • No Venue
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• Copilot Evaluation Harness: Evaluating Llm-guided Software Programming (2024) • No Venue
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• RAFT: Adapting Language Model To Domain Specific RAG (2024) • No Venue
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• Agent S: An Open Agentic Framework That Uses Computers Like A Human (2024) • No Venue
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• Flowmind: Automatic Workflow Generation With Llms (2024) • No Venue
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• Pixtral 12B (2024) • No Venue
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• Dreamclear: High-capacity Real-world Image Restoration With Privacy-safe Dataset Curation (2024) • No Venue
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• 3dgraphllm: Combining Semantic Graphs And Large Language Models For 3D Scene Understanding (2024) • No Venue
  Tatiana Zemskova, Dmitry Yudin
• Unibench: Visual Reasoning Requires Rethinking Vision-language Beyond Scaling (2024) • No Venue
  Al-Tahan et al.
• Map-neo: Highly Capable And Transparent Bilingual Large Language Model Series (2024) • No Venue
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• Maya: An Instruction Finetuned Multilingual Multimodal Model (2024) • No Venue
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• Safe Unlearning: A Surprisingly Effective And Generalizable Solution To Defend Against Jailbreak Attacks (2024) • No Venue
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• In-context Example Selection Via Similarity Search Improves Low-resource Machine Translation (2024) • No Venue
  Armel Zebaze, Benoît Sagot, Rachel Bawden
• Swe-bench-java: A Github Issue Resolving Benchmark For Java (2024) • No Venue
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• Training-free Long-context Scaling Of Large Language Models (2024) • No Venue
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• Make Your LLM Fully Utilize The Context (2024) • No Venue
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• Infinitymath: A Scalable Instruction Tuning Dataset In Programmatic Mathematical Reasoning (2024) • No Venue
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• Blackmamba: Mixture Of Experts For State-space Models (2024) • No Venue
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• Textgrad: Automatic "differentiation" Via Text (2024) • No Venue
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• MLLM As Retriever: Interactively Learning Multimodal Retrieval For Embodied Agents (2024) • No Venue
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• Pangea: A Fully Open Multilingual Multimodal LLM For 39 Languages (2024) • No Venue
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• Simple Linear Attention Language Models Balance The Recall-throughput Tradeoff (2024) • No Venue
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• Minigpt4-video: Advancing Multimodal Llms For Video Understanding With Interleaved Visual-textual Tokens (2024) • No Venue
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• To Code, Or Not To Code? Exploring Impact Of Code In Pre-training (2024) • No Venue
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• Biomamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba (2024) • No Venue
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• MINT-1T: Scaling Open-source Multimodal Data By 10x: A Multimodal Dataset With One Trillion Tokens (2024) • No Venue
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• ITACLIP: Boosting Training-free Semantic Segmentation With Image, Text, And Architectural Enhancements (2024) • No Venue
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• Deer-vla: Dynamic Inference Of Multimodal Large Language Models For Efficient Robot Execution (2024) • No Venue
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• 4M-21: An Any-to-any Vision Model For Tens Of Tasks And Modalities (2024) • No Venue
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• Fully-fused Multi-layer Perceptrons On Intel Data Center Gpus (2024) • No Venue
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• Longalign: A Recipe For Long Context Alignment Of Large Language Models (2024) • No Venue
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• From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning (2024) • No Venue
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• One Token To Seg Them All: Language Instructed Reasoning Segmentation In Videos (2024) • No Venue
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• Longbench V2: Towards Deeper Understanding And Reasoning On Realistic Long-context Multitasks (2024) • No Venue
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• Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms (2024) • No Venue
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• Probing The 3D Awareness Of Visual Foundation Models (2024) • No Venue
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• LLM Augmented Llms: Expanding Capabilities Through Composition (2024) • No Venue
  Bansal et al.
• Code Representation Learning At Scale (2024) • No Venue
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• Automathtext: Autonomous Data Selection With Language Models For Mathematical Texts (2024) • No Venue
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• Explore The Limits Of Omni-modal Pretraining At Scale (2024) • No Venue
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• Chatmusician: Understanding And Generating Music Intrinsically With LLM (2024) • No Venue
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• Advancing LLM Reasoning Generalists With Preference Trees (2024) • No Venue
  Yuan et al.
• Benchmarking Trustworthiness Of Multimodal Large Language Models: A Comprehensive Study (2024) • No Venue
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• Long Code Arena: A Set Of Benchmarks For Long-context Code Models (2024) • No Venue
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• Text2sql Is Not Enough: Unifying AI And Databases With TAG (2024) • No Venue
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• Allhands: Ask Me Anything On Large-scale Verbatim Feedback Via Large Language Models (2024) • No Venue
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• Aquila2 Technical Report (2024) • No Venue
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• GRAPE: Generalizing Robot Policy Via Preference Alignment (2024) • No Venue
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• Evaluating Multiview Object Consistency In Humans And Image Models (2024) • No Venue
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• Windows Agent Arena: Evaluating Multi-modal OS Agents At Scale (2024) • No Venue
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• Visrag: Vision-based Retrieval-augmented Generation On Multi-modality Documents (2024) • No Venue
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• Cross-attention Makes Inference Cumbersome In Text-to-image Diffusion Models (2024) • No Venue
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• Diversity Empowers Intelligence: Integrating Expertise Of Software Engineering Agents (2024) • No Venue
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• Distribution Backtracking Builds A Faster Convergence Trajectory For One-step Diffusion Distillation (2024) • No Venue
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• Codeit: Self-improving Language Models With Prioritized Hindsight Replay (2024) • No Venue
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• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
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• Internlm2 Technical Report (2024) • No Venue
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• On The Compositional Generalization Of Multimodal Llms For Medical Imaging (2024) • No Venue
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• Temporalbench: Benchmarking Fine-grained Temporal Understanding For Multimodal Video Models (2024) • No Venue
  Cai et al.
• Extending Llms' Context Window With 100 Samples (2024) • No Venue
  Yikai Zhang, Junlong Li, Pengfei Liu
• Outcome-refining Process Supervision For Code Generation (2024) • No Venue
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• Uniaff: A Unified Representation Of Affordances For Tool Usage And Articulation With Vision-language Models (2024) • No Venue
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• Flash-vstream: Memory-based Real-time Understanding For Long Video Streams (2024) • No Venue
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• Randomized Autoregressive Visual Generation (2024) • No Venue
  Yu et al.
• Enhancing Recommendation Diversity By Re-ranking With Large Language Models (2024) • ACM Transactions on Recommender Systems • 25 citations
  Diego Carraro, Derek Bridge
• Clove: Encoding Compositional Language In Contrastive Vision-language Models (2024) • No Venue
  Castro et al.
• Language Models As Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning In Language Models (2024) • No Venue
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• Fuzzcoder: Byte-level Fuzzing Test Via Large Language Model (2024) • No Venue
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• Vision Language Models Are Blind (2024) • No Venue
  Rahmanzadehgervi et al.
• Videoicl: Confidence-based Iterative In-context Learning For Out-of-distribution Video Understanding (2024) • No Venue
  Kim et al.
• Prometheus 2: An Open Source Language Model Specialized In Evaluating Other Language Models (2024) • No Venue
  Kim et al.
• Husky: A Unified, Open-source Language Agent For Multi-step Reasoning (2024) • No Venue
  Kim et al.
• Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web (2024) • No Venue
  Kapoor et al.
• Fiddler: CPU-GPU Orchestration For Fast Inference Of Mixture-of-experts Models (2024) • No Venue
  Kamahori et al.
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  Reuss et al.
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• Qwen2 Technical Report (2024) • No Venue
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• Show-o: One Single Transformer To Unify Multimodal Understanding And Generation (2024) • No Venue
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• WPO: Enhancing RLHF With Weighted Preference Optimization (2024) • No Venue
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• Prismatic Vlms: Investigating The Design Space Of Visually-conditioned Language Models (2024) • No Venue
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  Uri Katz, Mosh Levy, Yoav Goldberg
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  Sunny Sanyal, Sujay Sanghavi, Alexandros G. Dimakis
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• Sleeper Agents: Training Deceptive Llms That Persist Through Safety Training (2024) • No Venue
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  Hui et al.
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  Islam et al.
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• OLA-VLM: Elevating Visual Perception In Multimodal Llms With Auxiliary Embedding Distillation (2024) • No Venue
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• Associative Recurrent Memory Transformer (2024) • No Venue
  Rodkin et al.
• Bigdocs: An Open And Permissively-licensed Dataset For Training Multimodal Models On Document And Code Tasks (2024) • No Venue
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• LLM Maybe Longlm: Self-extend LLM Context Window Without Tuning (2024) • No Venue
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• Simple And Effective Masked Diffusion Language Models (2024) • No Venue
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  Ragav Sachdeva, Gyungin Shin, Andrew Zisserman
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• Mixtral Of Experts (2024) • No Venue
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• Minference 1.0: Accelerating Pre-filling For Long-context Llms Via Dynamic Sparse Attention (2024) • No Venue
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• Easyanimate: A High-performance Long Video Generation Method Based On Transformer Architecture (2024) • No Venue
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• LML: Language Model Learning A Dataset For Data-augmented Prediction (2024) • No Venue
  Praneeth Vadlapati
• Better & Faster Large Language Models Via Multi-token Prediction (2024) • No Venue
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• Streaming Dense Video Captioning (2024) • No Venue
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• Frame Representation Hypothesis: Multi-token LLM Interpretability And Concept-guided Text Generation (2024) • No Venue
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• Goldfinch: High Performance Rwkv/transformer Hybrid With Linear Pre-fill And Extreme Kv-cache Compression (2024) • No Venue
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• Omnifusion Technical Report (2024) • No Venue
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  Linyuan Gong, Mostafa Elhoushi, Alvin Cheung
• Cs-bench: A Comprehensive Benchmark For Large Language Models Towards Computer Science Mastery (2024) • No Venue
  Song et al.
• Olmo: Accelerating The Science Of Language Models (2024) • No Venue
  Groeneveld et al.
• Priority Sampling Of Large Language Models For Compilers (2024) • No Venue
  Grubisic et al.
• Towards Optimal Learning Of Language Models (2024) • No Venue
  Gu et al.
• Cruxeval: A Benchmark For Code Reasoning, Understanding And Execution (2024) • No Venue
  Gu et al.
• Miniplm: Knowledge Distillation For Pre-training Language Models (2024) • No Venue
  Gu et al.
• Dolma: An Open Corpus Of Three Trillion Tokens For Language Model Pretraining Research (2024) • No Venue
  Soldaini et al.
• GAVEL: Generating Games Via Evolution And Language Models (2024) • No Venue
  Todd et al.
• Guide-and-rescale: Self-guidance Mechanism For Effective Tuning-free Real Image Editing (2024) • No Venue
  Titov et al.
• Openmathinstruct-1: A 1.8 Million Math Instruction Tuning Dataset (2024) • No Venue
  Toshniwal et al.
• The Russian-focused Embedders' Exploration: Rumteb Benchmark And Russian Embedding Model Design (2024) • No Venue
  Snegirev et al.
• Codeeditorbench: Evaluating Code Editing Capability Of Large Language Models (2024) • No Venue
  Guo et al.
• Deepseek-coder: When The Large Language Model Meets Programming -- The Rise Of Code Intelligence (2024) • No Venue
  Guo et al.
• Sam2point: Segment Any 3D As Videos In Zero-shot And Promptable Manners (2024) • No Venue
  Guo et al.
• Pulid: Pure And Lightning ID Customization Via Contrastive Alignment (2024) • No Venue
  Guo et al.
• Vision Superalignment: Weak-to-strong Generalization For Vision Foundation Models (2024) • No Venue
  Guo et al.
• Infinity: Scaling Bitwise Autoregressive Modeling For High-resolution Image Synthesis (2024) • No Venue
  Han et al.
• Opendevin: An Open Platform For AI Software Developers As Generalist Agents (2024) • No Venue
  Wang et al.
• Improving Text Embeddings For Smaller Language Models Using Contrastive Fine-tuning (2024) • No Venue
  Trapoom Ukarapol, Zhicheng Lee, Amy Xin
• Qihoo-t2x: An Efficiency-focused Diffusion Transformer Via Proxy Tokens For Text-to-any-task (2024) • No Venue
  Wang et al.
• Exploring Multi-grained Concept Annotations For Multimodal Large Language Models (2024) • No Venue
  Xu et al.
• Mindeye2: Shared-subject Models Enable Fmri-to-image With 1 Hour Of Data (2024) • No Venue
  Scotti et al.
• Mpirigen: MPI Code Generation Through Domain-specific Language Models (2024) • No Venue
  Schneider et al.
• Theagentcompany: Benchmarking LLM Agents On Consequential Real World Tasks (2024) • No Venue
  Xu et al.
• UCFE: A User-centric Financial Expertise Benchmark For Large Language Models (2024) • No Venue
  Yang et al.
• Transferable And Principled Efficiency For Open-vocabulary Segmentation (2024) • No Venue
  Xu et al.
• Deciphering Cross-modal Alignment In Large Vision-language Models With Modality Integration Rate (2024) • No Venue
  Huang et al.
• Livexiv -- A Multi-modal Live Benchmark Based On Arxiv Papers Content (2024) • No Venue
  Shabtay et al.
• Xmodel-vlm: A Simple Baseline For Multimodal Vision Language Model (2024) • No Venue
  Xu et al.
• Ootdiffusion: Outfitting Fusion Based Latent Diffusion For Controllable Virtual Try-on (2024) • No Venue
  Xu et al.
• Pllava : Parameter-free Llava Extension From Images To Videos For Video Dense Captioning (2024) • No Venue
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• Weighted-reward Preference Optimization For Implicit Model Fusion (2024) • No Venue
  Yang et al.
• Opencoder: The Open Cookbook For Top-tier Code Large Language Models (2024) • No Venue
  Huang et al.
• LVCD: Reference-based Lineart Video Colorization With Diffusion Models (2024) • No Venue
  Zhitong Huang, Mohan Zhang, Jing Liao
• LITA: Language Instructed Temporal-localization Assistant (2024) • No Venue
  Huang et al.
• In-context Lora For Diffusion Transformers (2024) • No Venue
  Huang et al.
• Scaling Retrieval-based Language Models With A Trillion-token Datastore (2024) • No Venue
  Shao et al.
• Deepspeed-fastgen: High-throughput Text Generation For Llms Via MII And Deepspeed-inference (2024) • No Venue
  Holmes et al.
• Streamingt2v: Consistent, Dynamic, And Extendable Long Video Generation From Text (2024) • No Venue
  Henschel et al.
• Llava-gemma: Accelerating Multimodal Foundation Models With A Compact Language Model (2024) • No Venue
  Hinck et al.
• Block Transformer: Global-to-local Language Modeling For Fast Inference (2024) • No Venue
  Ho et al.
• Task Preference Optimization: Improving Multimodal Large Language Models With Vision Task Alignment (2024) • No Venue
  Yan et al.
• Supercorrect: Supervising And Correcting Language Models With Error-driven Insights (2024) • No Venue
  Yang et al.
• Vript: A Video Is Worth Thousands Of Words (2024) • No Venue
  Yang et al.
• Yolov9: Learning What You Want To Learn Using Programmable Gradient Information (2024) • No Venue
  Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
• A Vision Check-up For Language Models (2024) • No Venue
  Sharma et al.
• When Precision Meets Position: Bfloat16 Breaks Down Rope In Long-context Training (2024) • No Venue
  Wang et al.
• Deepseekmath: Pushing The Limits Of Mathematical Reasoning In Open Language Models (2024) • No Venue
  Shao et al.
• Patch-level Training For Large Language Models (2024) • No Venue
  Chenze Shao, Fandong Meng, Jie Zhou
• List Items One By One: A New Data Source And Learning Paradigm For Multimodal Llms (2024) • No Venue
  Yan et al.
• Decoding Compressed Trust: Scrutinizing The Trustworthiness Of Efficient Llms Under Compression (2024) • No Venue
  Hong et al.
• Margin-aware Preference Optimization For Aligning Diffusion Models Without Reference (2024) • No Venue
  Hong et al.
• Explanatory Instructions: Towards Unified Vision Tasks Understanding And Zero-shot Generalization (2024) • No Venue
  Shen et al.
• Learning To Decode Collaboratively With Multiple Language Models (2024) • No Venue
  Shen et al.
• Power Scheduler: A Batch Size And Token Number Agnostic Learning Rate Scheduler (2024) • No Venue
  Shen et al.
• Jetmoe: Reaching Llama2 Performance With 0.1M Dollars (2024) • No Venue
  Shen et al.
• KV Prediction For Improved Time To First Token (2024) • No Venue
  Horton et al.
• Xmodel-lm Technical Report (2024) • No Venue
  Wang et al.
• Zigma: Zigzag Mamba Diffusion Model (2024) • No Venue
  Hu et al.
• Vlsbench: Unveiling Visual Leakage In Multimodal Safety (2024) • No Venue
  Hu et al.
• Sara: High-efficient Diffusion Model Fine-tuning With Progressive Sparse Low-rank Adaptation (2024) • No Venue
  Hu et al.
• Longrecipe: Recipe For Efficient Long Context Generalization In Large Languge Models (2024) • No Venue
  Hu et al.
• Exploring Model Kinship For Merging Large Language Models (2024) • No Venue
  Hu et al.
• Openrlhf: An Easy-to-use, Scalable And High-performance RLHF Framework (2024) • No Venue
  Hu et al.
• Automated Design Of Agentic Systems (2024) • No Venue
  Shengran Hu, Cong Lu, Jeff Clune
• Autovfx: Physically Realistic Video Editing From Natural Language Instructions (2024) • No Venue
  Hsu et al.
• Design2code: How Far Are We From Automating Front-end Engineering? (2024) • No Venue
  Si et al.
• Appworld: A Controllable World Of Apps And People For Benchmarking Interactive Coding Agents (2024) • No Venue
  Trivedi et al.
• Llava-mod: Making Llava Tiny Via Moe Knowledge Distillation (2024) • No Venue
  Shu et al.
• Ltx-video: Realtime Video Latent Diffusion (2024) • No Venue
  Hacohen et al.
• Ezaudio: Enhancing Text-to-audio Generation With Efficient Diffusion Transformer (2024) • No Venue
  Hai et al.
• REPOEXEC: Evaluate Code Generation With A Repository-level Executable Benchmark (2024) • No Venue
  Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui
• ACE: All-round Creator And Editor Following Instructions Via Diffusion Transformer (2024) • No Venue
  Han et al.
• Omnieval: An Omnidirectional And Automatic RAG Evaluation Benchmark In Financial Domain (2024) • No Venue
  Wang et al.
• Transfer Learning For Text Diffusion Models (2024) • No Venue
  Han et al.
• Token-budget-aware LLM Reasoning (2024) • No Venue
  Han et al.
• Videoespresso: A Large-scale Chain-of-thought Dataset For Fine-grained Video Reasoning Via Core Frame Selection (2024) • No Venue
  Han et al.
• Rectified Diffusion: Straightness Is Not Your Need In Rectified Flow (2024) • No Venue
  Wang et al.
• Neuzip: Memory-efficient Training And Inference With Dynamic Compression Of Neural Networks (2024) • No Venue
  Yongchang Hao, Yanshuai Cao, Lili Mou
• Multimodal Needle In A Haystack: Benchmarking Long-context Capability Of Multimodal Large Language Models (2024) • No Venue
  Wang et al.
• Needle In A Multimodal Haystack (2024) • No Venue
  Wang et al.
• Discovering The Gems In Early Layers: Accelerating Long-context Llms With 1000x Input Token Reduction (2024) • No Venue
  Shi et al.
• Chartmimic: Evaluating Lmm's Cross-modal Reasoning Capability Via Chart-to-code Generation (2024) • No Venue
  Shi et al.
• Tokenformer: Rethinking Transformer Scaling With Tokenized Model Parameters (2024) • No Venue
  Wang et al.
• Eagle: Exploring The Design Space For Multimodal Llms With Mixture Of Encoders (2024) • No Venue
  Shi et al.
• VSSD: Vision Mamba With Non-casual State Space Duality (2024) • No Venue
  Shi et al.
• Theoremllama: Transforming General-purpose Llms Into Lean4 Experts (2024) • No Venue
  Wang et al.
• From Code To Correctness: Closing The Last Mile Of Code Generation With Hierarchical Debugging (2024) • No Venue
  Shi et al.
• Qwen2-vl: Enhancing Vision-language Model's Perception Of The World At Any Resolution (2024) • No Venue
  Wang et al.
• Soloaudio: Target Sound Extraction With Language-oriented Audio Diffusion Transformer (2024) • No Venue
  Wang et al.
• When Do We Not Need Larger Vision Models? (2024) • No Venue
  Shi et al.
• Math-llava: Bootstrapping Mathematical Reasoning For Multimodal Large Language Models (2024) • No Venue
  Shi et al.
• Mambavision: A Hybrid Mamba-transformer Vision Backbone (2024) • No Venue
  Ali Hatamizadeh, Jan Kautz
• Data Mixture Inference: What Do BPE Tokenizers Reveal About Their Training Data? (2024) • No Venue
  Hayase et al.
• What Matters In Transformers? Not All Attention Is Needed (2024) • No Venue
  He et al.
• MLP-KAN: Unifying Deep Representation And Function Learning (2024) • No Venue
  He et al.
• MA-LMM: Memory-augmented Large Multimodal Model For Long-term Video Understanding (2024) • No Venue
  He et al.
• Inference Performance Optimization For Large Language Models On Cpus (2024) • No Venue
  He et al.
• Distill Visual Chart Reasoning Ability From Llms To Mllms (2024) • No Venue
  He et al.
• Coffee-gym: An Environment For Evaluating And Improving Natural Language Feedback On Erroneous Code (2024) • No Venue
  Chae et al.
• Mceval: Massively Multilingual Code Evaluation (2024) • No Venue
  Chai et al.
• Tokenization Falling Short: The Curse Of Tokenization (2024) • No Venue
  Chai et al.
• Hyperclova X Technical Report (2024) • No Venue
  Yoo et al.
• GPT Or BERT: Why Not Both? (2024) • No Venue
  Lucas Georges Gabriel Charpentier, David Samuel
• Humaneval-v: Benchmarking High-level Visual Reasoning With Complex Diagrams In Coding Tasks (2024) • No Venue
  Zhang et al.
• Efficientqat: Efficient Quantization-aware Training For Large Language Models (2024) • No Venue
  Chen et al.
• Agent-flan: Designing Data And Methods Of Effective Agent Tuning For Large Language Models (2024) • No Venue
  Chen et al.
• Bootstrapping Language Models With DPO Implicit Rewards (2024) • No Venue
  Chen et al.
• An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-play Inference Acceleration For Large Vision-language Models (2024) • No Venue
  Chen et al.
• Asyncdiff: Parallelizing Diffusion Models By Asynchronous Denoising (2024) • No Venue
  Chen et al.
• B4: Towards Optimal Assessment Of Plausible Code Solutions With Plausible Tests (2024) • No Venue
  Chen et al.
• Dijiang: Efficient Large Language Models Through Compact Kernelization (2024) • No Venue
  Chen et al.
• Grounded 3D-LLM With Referent Tokens (2024) • No Venue
  Chen et al.
• Frozenseg: Harmonizing Frozen Foundation Models For Open-vocabulary Segmentation (2024) • No Venue
  Chen et al.
• F5-TTS: A Fairytaler That Fakes Fluent And Faithful Speech With Flow Matching (2024) • No Venue
  Chen et al.
• How Far Are We To GPT-4V? Closing The Gap To Commercial Multimodal Models With Open-source Suites (2024) • No Venue
  Chen et al.
• Mega-bench: Scaling Multimodal Evaluation To Over 500 Real-world Tasks (2024) • No Venue
  Chen et al.
• Language Models Are Hidden Reasoners: Unlocking Latent Reasoning Capabilities Via Self-rewarding (2024) • No Venue
  Chen et al.
• Mj-bench: Is Your Multimodal Reward Model Really A Good Judge For Text-to-image Generation? (2024) • No Venue
  Chen et al.
• Orion-14b: Open-source Multilingual Large Language Models (2024) • No Venue
  Chen et al.
• Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/multi-modal Jailbreak Attacks? (2024) • No Venue
  Chen et al.
• Prefixquant: Static Quantization Beats Dynamic Through Prefixed Outliers In Llms (2024) • No Venue
  Chen et al.
• Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery (2024) • No Venue
  Chen et al.
• Large Language Model-brained GUI Agents: A Survey (2024) • No Venue
  Zhang et al.
• Videollm-online: Online Video Large Language Model For Streaming Video (2024) • No Venue
  Chen et al.
• Training-free Regional Prompting For Diffusion Transformers (2024) • No Venue
  Chen et al.
• Towards Robust Speech Representation Learning For Thousands Of Languages (2024) • No Venue
  Chen et al.
• Interactivevideo: User-centric Controllable Video Generation With Synergistic Multimodal Instructions (2024) • No Venue
  Zhang et al.
• Visionts: Visual Masked Autoencoders Are Free-lunch Zero-shot Time Series Forecasters (2024) • No Venue
  Chen et al.
• Itercomp: Iterative Composition-aware Feedback Learning From Model Gallery For Text-to-image Generation (2024) • No Venue
  Zhang et al.
• Internlm-math: Open Math Large Language Models Toward Verifiable Reasoning (2024) • No Venue
  Ying et al.
• Llava-uhd V2: An MLLM Integrating High-resolution Feature Pyramid Via Hierarchical Window Transformer (2024) • No Venue
  Zhang et al.
• Videoelevator: Elevating Video Generation Quality With Versatile Text-to-image Diffusion Models (2024) • No Venue
  Zhang et al.
• Tinyllama: An Open-source Small Language Model (2024) • No Venue
  Zhang et al.
• Long Context Transfer From Language To Vision (2024) • No Venue
  Zhang et al.
• Self-exploring Language Models: Active Preference Elicitation For Online Alignment (2024) • No Venue
  Zhang et al.
• Soaring From 4K To 400K: Extending Llm's Context With Activation Beacon (2024) • No Venue
  Zhang et al.
• The Vision Of Autonomic Computing: Can Llms Make It A Reality? (2024) • No Venue
  Zhang et al.
• Video-panda: Parameter-efficient Alignment For Encoder-free Video-language Models (2024) • No Venue
  Yi et al.
• VCR: Visual Caption Restoration (2024) • No Venue
  Zhang et al.
• Monoformer: One Transformer For Both Diffusion And Autoregression (2024) • No Venue
  Zhao et al.
• Planetarium: A Rigorous Benchmark For Translating Text To Structured Planning Languages (2024) • No Venue
  Zuo et al.
• Voco-llama: Towards Vision Compression With Large Language Models (2024) • No Venue
  Ye et al.
• MIRAI: Evaluating LLM Agents For Event Forecasting (2024) • No Venue
  Ye et al.
• Improving Visual Commonsense In Language Models Via Multiple Image Generation (2024) • No Venue
  Yariv et al.
• Openresearcher: Unleashing AI For Accelerated Scientific Research (2024) • No Venue
  Zheng et al.
• Mulberry: Empowering MLLM With O1-like Reasoning And Reflection Via Collective Monte Carlo Tree Search (2024) • No Venue
  Yao et al.
• Seakr: Self-aware Knowledge Retrieval For Adaptive Retrieval Augmented Generation (2024) • No Venue
  Yao et al.
• Opencodeinterpreter: Integrating Code Generation With Execution And Refinement (2024) • No Venue
  Zheng et al.
• Humaneval Pro And MBPP Pro: Evaluating Large Language Models On Self-invoking Code Generation (2024) • No Venue
  Yu et al.
• Meta-chunking: Learning Efficient Text Segmentation Via Logical Perception (2024) • No Venue
  Zhao et al.
• Codev: Empowering Llms For Verilog Generation Through Multi-level Summarization (2024) • No Venue
  Zhao et al.
• Bigcodebench: Benchmarking Code Generation With Diverse Function Calls And Complex Instructions (2024) • No Venue
  Zhuo et al.
• Ultraedit: Instruction-based Fine-grained Image Editing At Scale (2024) • No Venue
  Zhao et al.
• Stylebreeder: Exploring And Democratizing Artistic Styles Through Text-to-image Models (2024) • No Venue
  Zheng et al.
• Weak-to-strong Jailbreaking On Large Language Models (2024) • No Venue
  Zhao et al.
• Astraios: Parameter-efficient Instruction Tuning Code Large Language Models (2024) • No Venue
  Zhuo et al.
• Breaking The Memory Barrier: Near Infinite Batch Size Scaling For Contrastive Loss (2024) • No Venue
  Cheng et al.
• Autodetect: Towards A Unified Framework For Automated Weakness Detection In Large Language Models (2024) • No Venue
  Cheng et al.
• Instruction Pre-training: Language Models Are Supervised Multitask Learners (2024) • No Venue
  Cheng et al.
• Taming Multimodal Joint Training For High-quality Video-to-audio Synthesis (2024) • No Venue
  Cheng et al.
• Spar: Self-play With Tree-search Refinement To Improve Instruction-following In Large Language Models (2024) • No Venue
  Cheng et al.
• Fully Open Source Moxin-7b Technical Report (2024) • No Venue
  Zhao et al.
• Reflections From The 2024 Large Language Model (LLM) Hackathon For Applications In Materials Science And Chemistry (2024) • No Venue
  Zimmermann et al.
• Evolvedirector: Approaching Advanced Text-to-image Generation With Large Vision-language Models (2024) • No Venue
  Zhao et al.
• Mg-llava: Towards Multi-granularity Visual Instruction Tuning (2024) • No Venue
  Zhao et al.
• M-longdoc: A Benchmark For Multimodal Super-long Document Understanding And A Retrieval-aware Tuning Framework (2024) • No Venue
  Chia et al.
• Autotrain: No-code Training For State-of-the-art Models (2024) • No Venue
  Abhishek Thakur
• Model Surgery: Modulating Llm's Behavior Via Simple Parameter Editing (2024) • No Venue
  Wang et al.
• Videotetris: Towards Compositional Text-to-video Generation (2024) • No Venue
  Tian et al.
• To Forget Or Not? Towards Practical Knowledge Unlearning For Large Language Models (2024) • No Venue
  Tian et al.
• Funaudiollm: Voice Understanding And Generation Foundation Models For Natural Interaction Between Humans And Llms (2024) • No Venue
  Tongyi Speechteam
• Boostmvsnerfs: Boosting Mvs-based Nerfs To Generalizable View Synthesis In Large-scale Scenes (2024) • No Venue
  Su et al.
• Scaling Granite Code Models To 128K Context (2024) • No Venue
  Stallone et al.
• BRIGHT: A Realistic And Challenging Benchmark For Reasoning-intensive Retrieval (2024) • No Venue
  Su et al.
• Large Scale Transfer Learning For Tabular Data Via Language Modeling (2024) • No Venue
  Josh Gardner, Juan C. Perdomo, Ludwig Schmidt
• Regal: Refactoring Programs To Discover Generalizable Abstractions (2024) • No Venue
  Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal
• Mobillama: Towards Accurate And Lightweight Fully Transparent GPT (2024) • No Venue
  Thawakar et al.
• Shadowkv: KV Cache In Shadows For High-throughput Long-context LLM Inference (2024) • No Venue
  Sun et al.
• Structlm: Towards Building Generalist Models For Structured Knowledge Grounding (2024) • No Venue
  Zhuang et al.
• Segment Any Text: A Universal Approach For Robust, Efficient And Adaptable Sentence Segmentation (2024) • No Venue
  Frohmann et al.
• SPHINX-X: Scaling Data And Parameters For A Family Of Multi-modal Large Language Models (2024) • No Venue
  Gao et al.
• Parrot: Multilingual Visual Instruction Tuning (2024) • No Venue
  Sun et al.
• Agentscope: A Flexible Yet Robust Multi-agent Platform (2024) • No Venue
  Gao et al.
• Portrait Video Editing Empowered By Multimodal Generative Priors (2024) • No Venue
  Gao et al.
• Scicode: A Research Coding Benchmark Curated By Scientists (2024) • No Venue
  Tian et al.
• Logah: Predicting 774-million-parameter Transformers Using Graph Hypernetworks With 1/100 Parameters (2024) • No Venue
  Zhou et al.
• Cambrian-1: A Fully Open, Vision-centric Exploration Of Multimodal Llms (2024) • No Venue
  Tong et al.
• Erasing Conceptual Knowledge From Language Models (2024) • No Venue
  Gandikota et al.
• Aligning Diffusion Models With Noise-conditioned Perception (2024) • No Venue
  Gambashidze et al.
• Language Models Scale Reliably With Over-training And On Downstream Tasks (2024) • No Venue
  Gadre et al.
• Multimodal Latent Language Modeling With Next-token Diffusion (2024) • No Venue
  Sun et al.
• LAMBDA: A Large Model Based Data Agent (2024) • No Venue
  Sun et al.
• Flatquant: Flatness Matters For LLM Quantization (2024) • No Venue
  Sun et al.
• Hunyuan-large: An Open-source Moe Model With 52 Billion Activated Parameters By Tencent (2024) • No Venue
  Sun et al.
• Rethinking Patch Dependence For Masked Autoencoders (2024) • No Venue
  Fu et al.
• Efficiently Serving LLM Reasoning Programs With Certaindex (2024) • No Venue
  Fu et al.
• Autorag-hp: Automatic Online Hyper-parameter Tuning For Retrieval-augmented Generation (2024) • No Venue
  Fu et al.
• A Touch, Vision, And Language Dataset For Multimodal Alignment (2024) • No Venue
  Fu et al.
• Efficient LLM Scheduling By Learning To Rank (2024) • No Venue
  Fu et al.
• Mme-survey: A Comprehensive Survey On Evaluation Of Multimodal Llms (2024) • No Venue
  Fu et al.
• In-context Imitation Learning Via Next-token Prediction (2024) • No Venue
  Fu et al.
• RAG Foundry: A Framework For Enhancing Llms For Retrieval Augmented Generation (2024) • No Venue
  Fleischer et al.
• Nnsight And NDIF: Democratizing Access To Foundation Model Internals (2024) • No Venue
  Fiotto-Kaufman et al.
• Code-as-monitor: Constraint-aware Visual Programming For Reactive And Proactive Robotic Failure Detection (2024) • No Venue
  Zhou et al.
• Sambalingo: Teaching Large Language Models New Languages (2024) • No Venue
  Csaki et al.
• Exvideo: Extending Video Diffusion Models Via Parameter-efficient Post-tuning (2024) • No Venue
  Duan et al.
• Rethinking Optimization And Architecture For Tiny Language Models (2024) • No Venue
  Tang et al.
• NVLM: Open Frontier-class Multimodal Llms (2024) • No Venue
  Dai et al.
• RACER: Rich Language-guided Failure Recovery Policies For Imitation Learning (2024) • No Venue
  Dai et al.
• Swiftbrush V2: Make Your One-step Diffusion Model Better Than Its Teacher (2024) • No Venue
  Dao et al.
• The Road Less Scheduled (2024) • No Venue
  Defazio et al.
• Benchx: A Unified Benchmark Framework For Medical Vision-language Pretraining On Chest X-rays (2024) • No Venue
  Zhou et al.
• Autoregressive Video Generation Without Vector Quantization (2024) • No Venue
  Deng et al.
• Molmo And Pixmo: Open Weights And Open Data For State-of-the-art Multimodal Models (2024) • No Venue
  Deitke et al.
• Wildvis: Open Source Visualizer For Million-scale Chat Logs In The Wild (2024) • No Venue
  Deng et al.
• Internvideo2: Scaling Video Foundation Models For Multimodal Video Understanding (2024) • No Venue
  Wang et al.
• Triforce: Lossless Acceleration Of Long Sequence Generation With Hierarchical Speculative Decoding (2024) • No Venue
  Sun et al.
• Fancyvideo: Towards Dynamic And Consistent Video Generation Via Cross-frame Textual Guidance (2024) • No Venue
  Feng et al.
• Croissantllm: A Truly Bilingual French-english Language Model (2024) • No Venue
  Faysse et al.
• FLUX That Plays Music (2024) • No Venue
  Fei et al.
• How Do Your Code Llms Perform? Empowering Code Instruction Tuning With High-quality Data (2024) • No Venue
  Wang et al.
• Natural Language Reinforcement Learning (2024) • No Venue
  Feng et al.
• PUMA: Empowering Unified MLLM With Multi-granular Visual Generation (2024) • No Venue
  Fang et al.
• Tinyfusion: Diffusion Transformers Learned Shallow (2024) • No Venue
  Fang et al.
• Git: Towards Generalist Vision Transformer Through Universal Language Interface (2024) • No Venue
  Wang et al.
• Helpsteer2: Open-source Dataset For Training Top-performing Reward Models (2024) • No Venue
  Wang et al.
• GTA: A Benchmark For General Tool Agents (2024) • No Venue
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• Grutopia: Dream General Robots In A City At Scale (2024) • No Venue
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• Is Chatgpt Good At Search? Investigating Large Language Models As Re-ranking Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 151 citations
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• T-sciq: Teaching Multimodal Chain-of-thought Reasoning Via Mixed Large Language Model Signals For Science Question Answering (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 28 citations
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• Codegeex: A Pre-trained Model For Code Generation With Multilingual Benchmarking On Humaneval-x (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 183 citations
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• Hallucination Augmented Contrastive Learning For Multimodal Large Language Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 55 citations
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• Mistral 7B (2023) • Arxiv • 237 citations
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• Pre-training To Learn In Context (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
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• MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action (2023) • Arxiv • 78 citations
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• The Cot Collection: Improving Zero-shot And Few-shot Learning Of Language Models Via Chain-of-thought Fine-tuning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 31 citations
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• Recommender AI Agent: Integrating Large Language Models For Interactive Recommendations (2023) • ACM Transactions on Information Systems • 21 citations
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• Exploring Human-like Translation Strategy With Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 47 citations
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• CREATOR: Tool Creation For Disentangling Abstract And Concrete Reasoning Of Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 19 citations
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• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 90 citations
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• Mitigating Hallucination In Large Multi-modal Models Via Robust Instruction Tuning (2023) • Arxiv • 24 citations
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• Prompt, Generate, Then Cache: Cascade Of Foundation Models Makes Strong Few-shot Learners (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 127 citations
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• Visual Instruction Tuning (2023) • Arxiv • 665 citations
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• One-dimensional Adapter To Rule Them All: Concepts, Diffusion Models And Erasing Applications (2023) • No Venue
  Lyu et al.
• A Multitask, Multilingual, Multimodal Evaluation Of Chatgpt On Reasoning, Hallucination, And Interactivity (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 494 citations
  Bang et al.
• Llavar: Enhanced Visual Instruction Tuning For Text-rich Image Understanding (2023) • No Venue
  Zhang et al.
• Demystifying GPT Self-repair For Code Generation (2023) • No Venue
  Olausson et al.
• Codeplan: Repository-level Coding Using Llms And Planning (2023) • No Venue
  Bairi et al.
• Meta-transformer: A Unified Framework For Multimodal Learning (2023) • No Venue
  Zhang et al.
• Llava-grounding: Grounded Visual Chat With Large Multimodal Models (2023) • No Venue
  Zhang et al.
• Grounding Visual Illusions In Language: Do Vision-language Models Perceive Illusions Like Humans? (2023) • No Venue
  Zhang et al.
• Is Chatgpt Fair For Recommendation? Evaluating Fairness In Large Language Model Recommendation (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 104 citations
  Zhang et al.
• H_2O: Heavy-hitter Oracle For Efficient Generative Inference Of Large Language Models (2023) • No Venue
  Zhang et al.
• Automix: Automatically Mixing Language Models (2023) • No Venue
  Madaan et al.
• Qwen Technical Report (2023) • No Venue
  Bai et al.
• SDXL: Improving Latent Diffusion Models For High-resolution Image Synthesis (2023) • No Venue
  Podell et al.
• Generative AI For Programming Education: Benchmarking Chatgpt, GPT-4, And Human Tutors (2023) • No Venue
  Phung et al.
• Vary: Scaling Up The Vision Vocabulary For Large Vision-language Models (2023) • No Venue
  Wei et al.
• Object Recognition As Next Token Prediction (2023) • No Venue
  Yue et al.
• Chain Of Code: Reasoning With A Language Model-augmented Code Emulator (2023) • No Venue
  Li et al.
• Clipa-v2: Scaling CLIP Training With 81.1% Zero-shot Imagenet Accuracy Within A \10,000 Budget; An Extra 4,000 Unlocks 81.8% Accuracy (2023) • No Venue
  Xianhang Li, Zeyu Wang, Cihang Xie
• Llemma: An Open Language Model For Mathematics (2023) • No Venue
  Azerbayev et al.
• Gpt4roi: Instruction Tuning Large Language Model On Region-of-interest (2023) • No Venue
  Zhang et al.
• Can LLM Already Serve As A Database Interface? A Big Bench For Large-scale Database Grounded Text-to-sqls (2023) • No Venue
  Li et al.
• Openflamingo: An Open-source Framework For Training Large Autoregressive Vision-language Models (2023) • No Venue
  Awadalla et al.
• Openba: An Open-sourced 15B Bilingual Asymmetric Seq2seq Model Pre-trained From Scratch (2023) • No Venue
  Li et al.
• Visual In-context Prompting (2023) • No Venue
  Li et al.
• Faster Diffusion: Rethinking The Role Of Unet Encoder In Diffusion Models (2023) • No Venue
  Li et al.
• Gpt4all: An Ecosystem Of Open Source Compressed Language Models (2023) • No Venue
  Anand et al.
• Starcoder: May The Source Be With You! (2023) • No Venue
  Li et al.
• Adalora: Adaptive Budget Allocation For Parameter-efficient Fine-tuning (2023) • Arxiv • 31 citations
  Zhang et al.
• Video Instance Matting (2023) • No Venue
  Li et al.
• General Object Foundation Model For Images And Videos At Scale (2023) • No Venue
  Wu et al.
• Yarn: Efficient Context Window Extension Of Large Language Models (2023) • No Venue
  Peng et al.
• Llmrec: Large Language Models With Graph Augmentation For Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 153 citations
  Wei et al.
• Simple Synthetic Data Reduces Sycophancy In Large Language Models (2023) • No Venue
  Wei et al.
• Tuna: Instruction Tuning Using Feedback From Large Language Models (2023) • No Venue
  Li et al.
• Learning From Mistakes Makes LLM Better Reasoner (2023) • No Venue
  An et al.
• Can Programming Languages Boost Each Other Via Instruction Tuning? (2023) • No Venue
  Zan et al.
• Eureka: Human-level Reward Design Via Coding Large Language Models (2023) • No Venue
  Ma et al.
• SPHINX: The Joint Mixing Of Weights, Tasks, And Visual Embeddings For Multi-modal Large Language Models (2023) • No Venue
  Lin et al.
• Cure The Headache Of Transformers Via Collinear Constrained Attention (2023) • No Venue
  Zhu et al.
• Magicoder: Source Code Is All You Need (2023) • No Venue
  Wei et al.
• Univtg: Towards Unified Video-language Temporal Grounding (2023) • No Venue
  Lin et al.
• Contextual Object Detection With Multimodal Large Language Models (2023) • International Journal of Computer Vision • 56 citations
  Zang et al.
• GLM-130B: An Open Bilingual Pre-trained Model (2022) • Arxiv • 291 citations
  Zeng et al.
• Large Language Models Are Better Reasoners With Self-verification (2022) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 56 citations
  Weng et al.
• Self-adaptive In-context Learning: An Information Compression Perspective For In-context Example Selection And Ordering (2022) • Arxiv • 14 citations
  Wu et al.
• Competition-level Code Generation With Alphacode (2022) • Science • 30 citations
  Li et al.
• Self-prompting Large Language Models For Zero-shot Open-domain QA (2022) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Li et al.
• Gpt-neox-20b: An Open-source Autoregressive Language Model (2022) • Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models • 256 citations
  Black et al.
• Language Models Of Code Are Few-shot Commonsense Learners (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 68 citations
  Madaan et al.
• Program Of Thoughts Prompting: Disentangling Computation From Reasoning For Numerical Reasoning Tasks (2022) • Arxiv • 110 citations
  Chen et al.
• Large Language Models Are Few(1)-shot Table Reasoners (2022) • Findings of the Association for Computational Linguistics: EACL 2023 • 47 citations
  Wenhu Chen
• Crosslingual Generalization Through Multitask Finetuning (2022) • Arxiv • 27 citations
  Muennighoff et al.
• Large Language Models Are Reasoning Teachers (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 50 citations
  Namgyu Ho, Laura Schmid, Se-Young Yun
• P-tuning V2: Prompt Tuning Can Be Comparable To Fine-tuning Universally Across Scales And Tasks (2021) • Arxiv • 262 citations
  Liu et al.
• CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) • AI Open • 52 citations
  Zhang et al.
• Zero-shot Recommendation As Language Modeling (2021) • Lecture Notes in Computer Science • 32 citations
  Damien Sileo, Wout Vossen, Robbe Raymaekers
• How Much Knowledge Can You Pack Into The Parameters Of A Language Model? (2020) • Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) • 200 citations
  Adam Roberts, Colin Raffel, Noam Shazeer
• Mt5: A Massively Multilingual Pre-trained Text-to-text Transformer (2020) • Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 666 citations
  Xue et al.
• Gshard: Scaling Giant Models With Conditional Computation And Automatic Sharding (2020) • Arxiv • 347 citations
  Lepikhin et al.

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— E —

Efficiency 1750 papers #

• Fantasyvln: Unified Multimodal Chain-of-thought Reasoning For Vision-language Navigation (2026) • No Venue
  Zuo et al.
• Toward Efficient Agents: Memory, Tool Learning, And Planning (2026) • No Venue
  Yang et al.
• Inference-time Physics Alignment Of Video Generative Models With Latent World Models (2026) • No Venue
  Yuan et al.
• Infinitevggt: Visual Geometry Grounded Transformer For Endless Streams (2026) • No Venue
  Yuan et al.
• Dr. Zero: Self-evolving Search Agents Without Training Data (2026) • No Venue
  Yue et al.
• Glimprouter: Efficient Collaborative Inference By Glimpsing One Token Of Thoughts (2026) • No Venue
  Zeng et al.
• MAXS: Meta-adaptive Exploration With LLM Agents (2026) • No Venue
  Zhang et al.
• Arenarl: Scaling RL For Open-ended Agents Via Tournament-based Relative Ranking (2026) • No Venue
  Zhang et al.
• Deepplanning: Benchmarking Long-horizon Agentic Planning With Verifiable Constraints (2026) • No Venue
  Zhang et al.
• Locate, Steer, And Improve: A Practical Survey Of Actionable Mechanistic Interpretability In Large Language Models (2026) • No Venue
  Zhang et al.
• HERMES: KV Cache As Hierarchical Memory For Efficient Streaming Video Understanding (2026) • No Venue
  Zhang et al.
• MHLA: Restoring Expressivity Of Linear Attention Via Token-level Multi-head (2026) • No Venue
  Zhang et al.
• Parallel Context-of-experts Decoding For Retrieval Augmented Generation (2026) • No Venue
  Giulio Corallo, Paolo Papotti
• VIBE: Visual Instruction Based Editor (2026) • No Venue
  Alekseenko et al.
• Et-agent: Incentivizing Effective Tool-integrated Reasoning Agent Via Behavior Calibration (2026) • No Venue
  Yifei Chen, Guanting Dong, Zhicheng Dou
• Llm-in-sandbox Elicits General Agentic Intelligence (2026) • No Venue
  Cheng et al.
• SALAD: Achieve High-sparsity Attention Via Efficient Linear Attention Tuning For Video Diffusion Transformer (2026) • No Venue
  Fang et al.
• Agentocr: Reimagining Agent History Via Optical Self-compression (2026) • No Venue
  Feng et al.
• Translategemma Technical Report (2026) • No Venue
  Finkelstein et al.
• Qwen3-tts Technical Report (2026) • No Venue
  Hu et al.
• Snapgen++: Unleashing Diffusion Transformers For Efficient High-fidelity Image Generation On Edge Devices (2026) • No Venue
  Hu et al.
• STEP3-VL-10B Technical Report (2026) • No Venue
  Huang et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Videoar: Autoregressive Video Generation Via Next-frame & Scale Prediction (2026) • No Venue
  Ji et al.
• Memory-v2v: Augmenting Video-to-video Diffusion Models With Memory (2026) • No Venue
  Lee et al.
• Agencybench: Benchmarking The Frontiers Of Autonomous Agents In 1m-token Real-world Contexts (2026) • No Venue
  Li et al.
• Videoauto-r1: Video Auto Reasoning Via Thinking Once, Answering Twice (2026) • No Venue
  Liu et al.
• Ministral 3 (2026) • No Venue
  Liu et al.
• Skinflow: Efficient Information Transmission For Open Dermatological Diagnosis Via Dynamic Visual Encoding And Staged RL (2026) • No Venue
  Liu et al.
• Simplemem: Efficient Lifelong Memory For LLM Agents (2026) • No Venue
  Liu et al.
• Beyond Static Tools: Test-time Tool Evolution For Scientific Reasoning (2026) • No Venue
  Lu et al.
• A Bertology View Of LLM Orchestrations: Token- And Layer-selective Probes For Efficient Single-pass Classification (2026) • No Venue
  Gonzalo Ariel Meyoyan, Luciano del Corro
• Transition Matching Distillation For Fast Video Generation (2026) • No Venue
  Nie et al.
• Focusui: Efficient UI Grounding Via Position-preserving Visual Token Selection (2026) • No Venue
  Ouyang et al.
• Memobrain: Executive Memory As An Agentic Brain For Reasoning (2026) • No Venue
  Hongjin Qian, Zhao Cao, Zheng Liu
• Lightonocr: A 1B End-to-end Multilingual Vision-language Model For State-of-the-art OCR (2026) • No Venue
  Said Taghadouini, Adrien Cavaillès, Baptiste Aubertin
• Talk2move: Reinforcement Learning For Text-instructed Object-level Geometric Transformation In Scenes (2026) • No Venue
  Tan et al.
• Elastic Attention: Test-time Adaptive Sparsity Ratios For Efficient Transformers (2026) • No Venue
  Tang et al.
• Falcon-h1r: Pushing The Reasoning Frontiers With A Hybrid Model For Efficient Test-time Scaling (2026) • No Venue
  Team et al.
• Learnable Multipliers: Freeing The Scale Of Language Model Matrix Layers (2026) • No Venue
  Velikanov et al.
• The Illusion Of Specialization: Unveiling The Domain-invariant "standing Committee" In Mixture-of-experts Models (2026) • No Venue
  Wang et al.
• Swe-pruner: Self-adaptive Context Pruning For Coding Agents (2026) • No Venue
  Wang et al.
• Forest Before Trees: Latent Superposition For Efficient Visual Reasoning (2026) • No Venue
  Wang et al.
• Lavit: Aligning Latent Visual Thoughts For Multi-modal Reasoning (2026) • No Venue
  Wu et al.
• A Pragmatic VLA Foundation Model (2026) • No Venue
  Wu et al.
• Atlas: Orchestrating Heterogeneous Models And Tools For Multi-domain Complex Reasoning (2026) • No Venue
  Wu et al.
• Mimo-v2-flash Technical Report (2026) • No Venue
  Xiao et al.
• Illusions Of Confidence? Diagnosing LLM Truthfulness Via Neighborhood Consistency (2026) • No Venue
  Xu et al.
• Pacevolve: Enabling Long-horizon Progress-aware Consistent Evolution (2026) • No Venue
  Yan et al.
• Distribution-aligned Sequence Distillation For Superior Long-cot Reasoning (2026) • No Venue
  Yan et al.
• FARMER: Flow Autoregressive Transformer Over Pixels (2025) • No Venue
  Zheng et al.
• An Empirical Study Of Qwen3 Quantization (2025) • No Venue
  Zheng et al.
• Let Llms Break Free From Overthinking Via Self-braking Tuning (2025) • No Venue
  Zhao et al.
• Insights Into Deepseek-v3: Scaling Challenges And Reflections On Hardware For AI Architectures (2025) • No Venue
  Zhao et al.
• Infllm-v2: Dense-sparse Switchable Attention For Seamless Short-to-long Adaptation (2025) • No Venue
  Zhao et al.
• Inpainting-guided Policy Optimization For Diffusion Large Language Models (2025) • No Venue
  Zhao et al.
• Marrying Autoregressive Transformer And Diffusion With Multi-reference Autoregression (2025) • No Venue
  Zhen et al.
• Paroattention: Pattern-aware Reordering For Efficient Sparse And Quantized Attention In Visual Generation Models (2025) • No Venue
  Zhao et al.
• Sample, Scrutinize And Scale: Effective Inference-time Search By Scaling Verification (2025) • No Venue
  Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi
• QLIP: Text-aligned Visual Tokenization Unifies Auto-regressive Multimodal Understanding And Generation (2025) • No Venue
  Zhao et al.
• Moss-speech: Towards True Speech-to-speech Models Without Text Guidance (2025) • No Venue
  Zhao et al.
• Group Sequence Policy Optimization (2025) • No Venue
  Zheng et al.
• 70% Size, 100% Accuracy: Lossless LLM Compression For Efficient GPU Inference Via Dynamic-length Float (2025) • No Venue
  Zhang et al.
• Adaptthink: Reasoning Models Can Learn When To Think (2025) • No Venue
  Zhang et al.
• Accvideo: Accelerating Video Diffusion Model With Synthetic Dataset (2025) • No Venue
  Zhang et al.
• Alphaone: Reasoning Models Thinking Slow And Fast At Test Time (2025) • No Venue
  Zhang et al.
• Browseragent: Building Web Agents With Human-inspired Web Browsing Actions (2025) • No Venue
  Zhang et al.
• Both Semantics And Reconstruction Matter: Making Representation Encoders Ready For Text-to-image Generation And Editing (2025) • No Venue
  Zhang et al.
• Certified Mitigation Of Worst-case LLM Copyright Infringement (2025) • No Venue
  Zhang et al.
• Easycontrol: Adding Efficient And Flexible Control For Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Domain2vec: Vectorizing Datasets To Find The Optimal Data Mixture Without Training (2025) • No Venue
  Zhang et al.
• Framepainter: Endowing Interactive Image Editing With Video Diffusion Priors (2025) • No Venue
  Zhang et al.
• Bourbaki: Self-generated And Goal-conditioned Mdps For Theorem Proving (2025) • No Venue
  Zimmer et al.
• Omnimamba: Efficient And Unified Multimodal Understanding And Generation Via State Space Models (2025) • No Venue
  Zou et al.
• Latent Collaboration In Multi-agent Systems (2025) • No Venue
  Zou et al.
• M3: 3d-spatial Multimodal Memory (2025) • No Venue
  Zou et al.
• S1-bench: A Simple Benchmark For Evaluating System 1 Thinking Capability Of Large Reasoning Models (2025) • No Venue
  Zhang et al.
• Recursive Language Models (2025) • No Venue
  Alex L. Zhang, Tim Kraska, Omar Khattab
• Sageattention2++: A More Efficient Implementation Of Sageattention2 (2025) • No Venue
  Zhang et al.
• Sageattention3: Microscaling FP4 Attention For Inference And An Exploration Of 8-bit Training (2025) • No Venue
  Zhang et al.
• Soft Thinking: Unlocking The Reasoning Potential Of Llms In Continuous Concept Space (2025) • No Venue
  Zhang et al.
• SLA: Beyond Sparsity In Diffusion Transformers Via Fine-tunable Sparse-linear Attention (2025) • No Venue
  Zhang et al.
• Waver: Wave Your Way To Lifelike Video Generation (2025) • No Venue
  Zhang et al.
• Vision-language-vision Auto-encoder: Scalable Knowledge Distillation From Diffusion Models (2025) • No Venue
  Zhang et al.
• UFO2: The Desktop Agentos (2025) • No Venue
  Zhang et al.
• UFO^3: Weaving The Digital Agent Galaxy (2025) • No Venue
  Zhang et al.
• Turbodiffusion: Accelerating Video Diffusion Models By 100-200 Times (2025) • No Venue
  Zhang et al.
• Training-free Efficient Video Generation Via Dynamic Token Carving (2025) • No Venue
  Zhang et al.
• Train Small, Infer Large: Memory-efficient Lora Training For Large Language Models (2025) • No Venue
  Zhang et al.
• Spargeattn: Accurate Sparse Attention Accelerating Any Model Inference (2025) • No Venue
  Zhang et al.
• Tensor Product Attention Is All You Need (2025) • No Venue
  Zhang et al.
• Efficiently Reconstructing Dynamic Scenes One D4RT At A Time (2025) • No Venue
  Zhang et al.
• Flashvideo:flowing Fidelity To Detail For Efficient High-resolution Video Generation (2025) • No Venue
  Zhang et al.
• Fast Video Generation With Sliding Tile Attention (2025) • No Venue
  Zhang et al.
• Faster Video Diffusion With Trainable Sparse Attention (2025) • No Venue
  Zhang et al.
• MM-RLHF: The Next Step Forward In Multimodal LLM Alignment (2025) • No Venue
  Zhang et al.
• Llava-mini: Efficient Image And Video Large Multimodal Models With One Vision Token (2025) • No Venue
  Zhang et al.
• Higher-order Linear Attention (2025) • No Venue
  Yifan Zhang, Zhen Qin, Quanquan Gu
• In-context Edit: Enabling Instructional Image Editing With In-context Generation In Large Scale Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Lightthinker: Thinking Step-by-step Compression (2025) • No Venue
  Zhang et al.
• Qwen3 Embedding: Advancing Text Embedding And Reranking Through Foundation Models (2025) • No Venue
  Zhang et al.
• Pixel-sail: Single Transformer For Pixel-grounded Understanding (2025) • No Venue
  Zhang et al.
• Packing Input Frame Context In Next-frame Prediction Models For Video Generation (2025) • No Venue
  Lvmin Zhang, Maneesh Agrawala
• MUG-V 10B: High-efficiency Training Pipeline For Large Video Generation Models (2025) • No Venue
  Zhang et al.
• Looptool: Closing The Data-training Loop For Robust LLM Tool Calls (2025) • No Venue
  Zhang et al.
• Locality-aware Parallel Decoding For Efficient Autoregressive Image Generation (2025) • No Venue
  Zhang et al.
• Leank: Learnable K Cache Channel Pruning For Efficient Decoding (2025) • No Venue
  Zhang et al.
• Falcon-h1: A Family Of Hybrid-head Language Models Redefining Efficiency And Performance (2025) • No Venue
  Zuo et al.
• Step Back To Leap Forward: Self-backtracking For Boosting Reasoning Of Language Models (2025) • No Venue
  Yang et al.
• Qwen2.5-1m Technical Report (2025) • No Venue
  Yang et al.
• Longlive: Real-time Interactive Long Video Generation (2025) • No Venue
  Yang et al.
• Lserve: Efficient Long-sequence LLM Serving With Unified Sparse Attention (2025) • No Venue
  Yang et al.
• Multiverse: Your Language Models Secretly Decide How To Parallelize And Merge Generation (2025) • No Venue
  Yang et al.
• Mixture Of Experts Made Intrinsically Interpretable (2025) • No Venue
  Yang et al.
• Qwen3 Technical Report (2025) • No Venue
  Yang et al.
• Revisiting Multi-agent Debate As Test-time Scaling: A Systematic Study Of Conditional Effectiveness (2025) • No Venue
  Yang et al.
• Sparse Videogen2: Accelerate Video Generation With Sparse Attention Via Semantic-aware Permutation (2025) • No Venue
  Yang et al.
• Thinking With Images Via Self-calling Agent (2025) • No Venue
  Yang et al.
• Table-r1: Inference-time Scaling For Table Reasoning (2025) • No Venue
  Yang et al.
• Swe-smith: Scaling Data For Software Engineering Agents (2025) • No Venue
  Yang et al.
• Visionthink: Smart And Efficient Vision Language Model Via Reinforcement Learning (2025) • No Venue
  Yang et al.
• Reconstruction Vs. Generation: Taming Optimization Dilemma In Latent Diffusion Models (2025) • No Venue
  Jingfeng Yao, Xinggang Wang
• Towards Scalable Pre-training Of Visual Tokenizers For Generation (2025) • No Venue
  Yao et al.
• Black-box On-policy Distillation Of Large Language Models (2025) • No Venue
  Ye et al.
• LIMO: Less Is More For Reasoning (2025) • No Venue
  Ye et al.
• Ψ-sampler: Initial Particle Sampling For Smc-based Inference-time Reward Alignment In Score Models (2025) • No Venue
  Yoon et al.
• Demystifying Long Chain-of-thought Reasoning In Llms (2025) • No Venue
  Yeo et al.
• When To Ensemble: Identifying Token-level Points For Stable And Fast LLM Ensembling (2025) • No Venue
  Yun et al.
• Reflection Removal Through Efficient Adaptation Of Diffusion Transformers (2025) • No Venue
  Zakarin et al.
• Gliner2: An Efficient Multi-task Information Extraction System With Schema-driven Interface (2025) • No Venue
  Zaratiana et al.
• A Glimpse To Compress: Dynamic Visual Token Pruning For Large Vision-language Models (2025) • No Venue
  Zeng et al.
• Pruning The Unsurprising: Efficient Code Reasoning Via First-token Surprisal (2025) • No Venue
  Zeng et al.
• Done Is Better Than Perfect: Unlocking Efficient Reasoning By Structured Multi-turn Decomposition (2025) • No Venue
  Zeng et al.
• Revisiting The Test-time Scaling Of O1-like Models: Do They Truly Possess Test-time Scaling Capabilities? (2025) • No Venue
  Zeng et al.
• A Vision-language-action-critic Model For Robotic Real-world Reinforcement Learning (2025) • No Venue
  Zhai et al.
• Exgrpo: Learning To Reason From Experience (2025) • No Venue
  Zhan et al.
• Survey On Evaluation Of Llm-based Agents (2025) • No Venue
  Yehudai et al.
• Deep Forcing: Training-free Long Video Generation With Deep Sink And Participative Compression (2025) • No Venue
  Yi et al.
• Magicinfinite: Generating Infinite Talking Videos With Your Words And Voice (2025) • No Venue
  Yi et al.
• Livemcp-101: Stress Testing And Diagnosing Mcp-enabled Agents On Challenging Queries (2025) • No Venue
  Yin et al.
• SAIL-VL2 Technical Report (2025) • No Venue
  Yin et al.
• A Practical Two-stage Recipe For Mathematical Llms: Maximizing Accuracy With SFT And Efficiency With Reinforcement Learning (2025) • No Venue
  Hiroshi Yoshihara, Taiki Yamaguchi, Yuichi Inoue
• Craw4llm: Efficient Web Crawling For LLM Pretraining (2025) • No Venue
  Shi Yu, Zhiyuan Liu, Chenyan Xiong
• Accelerate Parallelizable Reasoning Via Parallel Decoding Within One Sequence (2025) • No Venue
  Yijiong Yu
• Formalmath: Benchmarking Formal Mathematical Reasoning Of Large Language Models (2025) • No Venue
  Yu et al.
• Demystifying Reinforcement Learning In Agentic Reasoning (2025) • No Venue
  Yu et al.
• Dimple: Discrete Diffusion Multimodal Large Language Model With Parallel Decoding (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
• Generating Symbolic World Models Via Test-time Scaling Of Large Language Models (2025) • No Venue
  Yu et al.
• Minicpm-v 4.5: Cooking Efficient Mllms Via Architecture, Data, And Training Recipe (2025) • No Venue
  Yu et al.
• Pixeldit: Pixel Diffusion Transformers For Image Generation (2025) • No Venue
  Yu et al.
• Rethinking The Generation Of High-quality Cot Data From The Perspective Of Llm-adaptive Question Difficulty Grading (2025) • No Venue
  Yu et al.
• Recode: Unify Plan And Action For Universal Granularity Control (2025) • No Venue
  Yu et al.
• Ultra-resolution Adaptation With Ease (2025) • No Venue
  Yu et al.
• Sliding Window Attention Adaptation (2025) • No Venue
  Yu et al.
• Trajselector: Harnessing Latent Representations For Efficient And Effective Best-of-n In Large Reasoning Model (2025) • No Venue
  Yu et al.
• Being-0: A Humanoid Robotic Agent With Vision-language Models And Modular Skills (2025) • No Venue
  Yuan et al.
• Z1: Efficient Test-time Scaling With Code (2025) • No Venue
  Yu et al.
• Agent-r: Training Language Model Agents To Reflect Via Iterative Self-training (2025) • No Venue
  Yuan et al.
• Softpick: No Attention Sink, No Massive Activations With Rectified Softmax (2025) • No Venue
  Zayd M. K. Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
• Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective (2025) • No Venue
  Zimmer et al.
• Efficientllm: Efficiency In Large Language Models (2025) • No Venue
  Yuan et al.
• Give Me FP32 Or Give Me Death? Challenges And Solutions For Reproducible Reasoning (2025) • No Venue
  Yuan et al.
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• Iterresearch: Rethinking Long-horizon Agents Via Markovian State Reconstruction (2025) • No Venue
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• Logquant: Log-distributed 2-bit Quantization Of KV Cache With Superior Accuracy Preservation (2025) • No Venue
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• MIDAS: Multimodal Interactive Digital-human Synthesis Via Real-time Autoregressive Video Generation (2025) • No Venue
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• The Geometry Of LLM Quantization: GPTQ As Babai's Nearest Plane Algorithm (2025) • No Venue
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• Reasoning In Space Via Grounding In The World (2025) • No Venue
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• Sana-video: Efficient Video Generation With Block Linear Diffusion Transformer (2025) • No Venue
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• Seed-prover 1.5: Mastering Undergraduate-level Theorem Proving Via Learning From Experience (2025) • No Venue
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• Shieldagent: Shielding Agents Via Verifiable Safety Policy Reasoning (2025) • No Venue
  Zhaorun Chen, Mintong Kang, Bo Li
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• Sparse-vdit: Unleashing The Power Of Sparse Attention To Accelerate Video Diffusion Transformers (2025) • No Venue
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• WINA: Weight Informed Neuron Activation For Accelerating Large Language Model Inference (2025) • No Venue
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• Univid: Unifying Vision Tasks With Pre-trained Video Generation Models (2025) • No Venue
  Lan Chen, Yuchao Gu, Qi Mao
• Toward Effective Tool-integrated Reasoning Via Self-evolved Preference Learning (2025) • No Venue
  Yifei Chen, Guanting Dong, Zhicheng Dou
• WUSH: Near-optimal Adaptive Transforms For LLM Quantization (2025) • No Venue
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• Optimizing Length Compression In Large Reasoning Models (2025) • No Venue
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• DEER: Draft With Diffusion, Verify With Autoregressive Models (2025) • No Venue
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• Twinflow: Realizing One-step Generation On Large Models With Self-adversarial Flows (2025) • No Venue
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• Signroundv2: Closing The Performance Gap In Extremely Low-bit Post-training Quantization For Llms (2025) • No Venue
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• SHANKS: Simultaneous Hearing And Thinking For Spoken Language Models (2025) • No Venue
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• Livetalk: Real-time Multimodal Interactive Video Diffusion Via Improved On-policy Distillation (2025) • No Venue
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• Prosperity Before Collapse: How Far Can Off-policy RL Reach With Stale Data On Llms? (2025) • No Venue
  Haizhong Zheng, Jiawei Zhao, Bedi Chen
• Scaling Diffusion Transformers Efficiently Via Μp (2025) • No Venue
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• Hscodecomp: A Realistic And Expert-level Benchmark For Deep Search Agents In Hierarchical Rule Application (2025) • No Venue
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• Fast3r: Towards 3D Reconstruction Of 1000+ Images In One Forward Pass (2025) • No Venue
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• DCPO: Dynamic Clipping Policy Optimization (2025) • No Venue
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• ARIA: Training Language Agents With Intention-driven Reward Aggregation (2025) • No Venue
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• Surveyforge: On The Outline Heuristics, Memory-driven Generation, And Multi-dimensional Evaluation For Automated Survey Writing (2025) • No Venue
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• MUR: Momentum Uncertainty Guided Reasoning For Large Language Models (2025) • No Venue
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• Predicting The Order Of Upcoming Tokens Improves Language Modeling (2025) • No Venue
  Zayd M. K. Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
• LIMI: Less Is More For Agency (2025) • No Venue
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• Limopro: Reasoning Refinement For Efficient And Effective Test-time Scaling (2025) • No Venue
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• SCALE: Selective Resource Allocation For Overcoming Performance Bottlenecks In Mathematical Test-time Scaling (2025) • No Venue
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• Interleaved Reasoning For Large Language Models Via Reinforcement Learning (2025) • No Venue
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• Swe-fixer: Training Open-source Llms For Effective And Efficient Github Issue Resolution (2025) • No Venue
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• SANA 1.5: Efficient Scaling Of Training-time And Inference-time Compute In Linear Diffusion Transformer (2025) • No Venue
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• Reconstruction Alignment Improves Unified Multimodal Models (2025) • No Venue
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• Video-mtr: Reinforced Multi-turn Reasoning For Long Video Understanding (2025) • No Venue
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• Unleashing The Potential Of Large Language Models For Text-to-image Generation Through Autoregressive Representation Alignment (2025) • No Venue
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• A Minimalist Approach To LLM Reasoning: From Rejection Sampling To Reinforce (2025) • No Venue
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• Tiny Model, Big Logic: Diversity-driven Optimization Elicits Large-model Reasoning Ability In Vibethinker-1.5b (2025) • No Venue
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• Thinking-free Policy Initialization Makes Distilled Reasoning Models More Effective And Efficient Reasoners (2025) • No Venue
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• Timeviper: A Hybrid Mamba-transformer Vision-language Model For Efficient Long Video Understanding (2025) • No Venue
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• Ravine: Reality-aligned Evaluation For Agentic Search (2025) • No Venue
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• Phi-4-mini-reasoning: Exploring The Limits Of Small Reasoning Language Models In Math (2025) • No Venue
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• The End Of Manual Decoding: Towards Truly End-to-end Language Models (2025) • No Venue
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  Hongyu Wang, Shuming Ma, Furu Wei
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• Harnessing The Reasoning Economy: A Survey Of Efficient Reasoning For Large Language Models (2025) • No Venue
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• Information Gain-based Policy Optimization: A Simple And Effective Approach For Multi-turn LLM Agents (2025) • No Venue
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• Muon Outperforms Adam In Tail-end Associative Memory Learning (2025) • No Venue
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• Open-qwen2vl: Compute-efficient Pre-training Of Fully-open Multimodal Llms On Academic Resources (2025) • No Venue
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• Rep-mtl: Unleashing The Power Of Representation-level Task Saliency For Multi-task Learning (2025) • No Venue
  Zedong Wang, Siyuan Li, Dan Xu
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• Remasking Discrete Diffusion Models With Inference-time Scaling (2025) • No Venue
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• RECALL: Representation-aligned Catastrophic-forgetting Alleviation Via Hierarchical Model Merging (2025) • No Venue
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• Reinforcement Learning For Reasoning In Large Language Models With One Training Example (2025) • No Venue
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• Resa: Transparent Reasoning Models Via Saes (2025) • No Venue
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• Simplefold: Folding Proteins Is Simpler Than You Think (2025) • No Venue
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• Scaling Laws In Patchification: An Image Is Worth 50,176 Tokens And More (2025) • No Venue
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• Scholarcopilot: Training Large Language Models For Academic Writing With Accurate Citations (2025) • No Venue
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• Simplear: Pushing The Frontier Of Autoregressive Visual Generation Through Pretraining, SFT, And RL (2025) • No Venue
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• Seedvr: Seeding Infinity In Diffusion Transformer Towards Generic Video Restoration (2025) • No Venue
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• Sparsemm: Head Sparsity Emerges From Visual Concept Responses In Mllms (2025) • No Venue
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• Sota With Less: Mcts-guided Sample Selection For Data-efficient Visual Reasoning Self-improvement (2025) • No Venue
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• Socratic-zero : Bootstrapping Reasoning Via Data-free Agent Co-evolution (2025) • No Venue
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• Sparsed: Sparse Attention For Diffusion Language Models (2025) • No Venue
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• System-1.5 Reasoning: Traversal In Language And Latent Spaces With Dynamic Shortcuts (2025) • No Venue
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• Tadicodec: Text-aware Diffusion Speech Tokenizer For Speech Language Modeling (2025) • No Venue
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• Universe-1: Unified Audio-video Generation Via Stitching Of Experts (2025) • No Venue
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• BAPO: Stabilizing Off-policy Reinforcement Learning For Llms Via Balanced Policy Optimization With Adaptive Clipping (2025) • No Venue
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• Reinforcement Learning In Vision: A Survey (2025) • No Venue
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• Vmoba: Mixture-of-block Attention For Video Diffusion Models (2025) • No Venue
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• What Generative Search Engines Like And How To Optimize Web Content Cooperatively (2025) • No Venue
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• Revisiting Model Interpolation For Efficient Reasoning (2025) • No Venue
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• Unlocking Efficient Long-to-short LLM Reasoning With Model Merging (2025) • No Venue
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• Think-on-graph 3.0: Efficient And Adaptive LLM Reasoning On Heterogeneous Graphs Via Multi-agent Dual-evolving Context Retrieval (2025) • No Venue
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• Delta Attention: Fast And Accurate Sparse Attention Inference By Delta Correction (2025) • No Venue
  Jeffrey Willette, Heejun Lee, Sung Ju Hwang
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• Grove Moe: Towards Efficient And Superior Moe Llms With Adjugate Experts (2025) • No Venue
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• Deepsearch: Overcome The Bottleneck Of Reinforcement Learning With Verifiable Rewards Via Monte Carlo Tree Search (2025) • No Venue
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• ARM: Adaptive Reasoning Model (2025) • No Venue
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• 4dlangvggt: 4D Language-visual Geometry Grounded Transformer (2025) • No Venue
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• COMPACT: Compositional Atomic-to-complex Visual Capability Tuning (2025) • No Venue
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• Boosting Multimodal Reasoning With Mcts-automated Structured Thinking (2025) • No Venue
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• Lightgen: Efficient Image Generation Through Knowledge Distillation And Direct Preference Optimization (2025) • No Venue
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• Latent Flow Transformer (2025) • No Venue
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• LAPO: Internalizing Reasoning Efficiency Via Length-adaptive Policy Optimization (2025) • No Venue
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• It Takes Two: Your GRPO Is Secretly DPO (2025) • No Venue
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• Hunyuanvideo 1.5 Technical Report (2025) • No Venue
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• Automated Movie Generation Via Multi-agent Cot Planning (2025) • No Venue
  Weijia Wu, Zeyu Zhu, Mike Zheng Shou
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• Fast-dllm: Training-free Acceleration Of Diffusion LLM By Enabling KV Cache And Parallel Decoding (2025) • No Venue
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  Shreyas Singh, Kunal Singh, Pradeep Moturi
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  Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
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  Ziteng Wang, Jianfei Chen, Jun Zhu
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• F5-TTS: A Fairytaler That Fakes Fluent And Faithful Speech With Flow Matching (2024) • No Venue
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• Prefixquant: Static Quantization Beats Dynamic Through Prefixed Outliers In Llms (2024) • No Venue
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• SAR3D: Autoregressive 3D Object Generation And Understanding Via Multi-scale 3D VQVAE (2024) • No Venue
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• Reverse Thinking Makes Llms Stronger Reasoners (2024) • No Venue
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• Lexc-gen: Generating Data For Extremely Low-resource Languages With Large Language Models And Bilingual Lexicons (2024) • No Venue
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• Llama-berry: Pairwise Optimization For O1-like Olympiad-level Mathematical Reasoning (2024) • No Venue
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• Stealing User Prompts From Mixture Of Experts (2024) • No Venue
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• Tinyllama: An Open-source Small Language Model (2024) • No Venue
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• Direct Preference Optimization Using Sparse Feature-level Constraints (2024) • No Venue
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• Sageattention2 Technical Report: Accurate 4 Bit Attention For Plug-and-play Inference Acceleration (2024) • No Venue
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• Video-3d LLM: Learning Position-aware Video Representation For 3D Scene Understanding (2024) • No Venue
  Duo Zheng, Shijia Huang, Liwei Wang
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  Zhen Zheng, Xiaonan Song, Chuanjie Liu
• Longagent: Scaling Language Models To 128k Context Through Multi-agent Collaboration (2024) • No Venue
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• Compressed Chain Of Thought: Efficient Reasoning Through Dense Representations (2024) • No Venue
  Jeffrey Cheng, Benjamin van Durme
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• Real-time Video Generation With Pyramid Attention Broadcast (2024) • No Venue
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• Lora Land: 310 Fine-tuned Llms That Rival GPT-4, A Technical Report (2024) • No Venue
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• Resadapter: Domain Consistent Resolution Adapter For Diffusion Models (2024) • No Venue
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  Ihor Stepanov, Mykhailo Shtopko
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• Invertible Consistency Distillation For Text-guided Image Editing In Around 7 Steps (2024) • No Venue
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• Transformer Layers As Painters (2024) • No Venue
  Sun et al.
• Learning To (learn At Test Time): Rnns With Expressive Hidden States (2024) • No Venue
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• Accelerating Auto-regressive Text-to-image Generation With Training-free Speculative Jacobi Decoding (2024) • No Venue
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• Towards Retrieval Augmented Generation Over Large Video Libraries (2024) • No Venue
  Yannis Tevissen, Khalil Guetari, Frédéric Petitpont
• Efficient Tool Use With Chain-of-abstraction Reasoning (2024) • No Venue
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• Portrait Video Editing Empowered By Multimodal Generative Priors (2024) • No Venue
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• Dim: Diffusion Mamba For Efficient High-resolution Image Synthesis (2024) • No Venue
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• Logah: Predicting 774-million-parameter Transformers Using Graph Hypernetworks With 1/100 Parameters (2024) • No Venue
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• Seerattention: Learning Intrinsic Sparse Attention In Your Llms (2024) • No Venue
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• Aligning Diffusion Models With Noise-conditioned Perception (2024) • No Venue
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• Language Models Scale Reliably With Over-training And On Downstream Tasks (2024) • No Venue
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• LAMBDA: A Large Model Based Data Agent (2024) • No Venue
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• Flatquant: Flatness Matters For LLM Quantization (2024) • No Venue
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• EVA-CLIP-18B: Scaling CLIP To 18 Billion Parameters (2024) • No Venue
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• Bitsfusion: 1.99 Bits Weight Quantization Of Diffusion Model (2024) • No Venue
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• Rethinking Patch Dependence For Masked Autoencoders (2024) • No Venue
  Fu et al.
• Efficiently Serving LLM Reasoning Programs With Certaindex (2024) • No Venue
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• Efficient LLM Scheduling By Learning To Rank (2024) • No Venue
  Fu et al.
• Moa: Mixture Of Sparse Attention For Automatic Large Language Model Compression (2024) • No Venue
  Fu et al.
• Lazyllm: Dynamic Token Pruning For Efficient Long Context LLM Inference (2024) • No Venue
  Fu et al.
• Data Engineering For Scaling Language Models To 128K Context (2024) • No Venue
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• Styleremix: Interpretable Authorship Obfuscation Via Distillation And Perturbation Of Style Elements (2024) • No Venue
  Fisher et al.
• Code-as-monitor: Constraint-aware Visual Programming For Reactive And Proactive Robotic Failure Detection (2024) • No Venue
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• Human-like Episodic Memory For Infinite Context Llms (2024) • No Venue
  Fountas et al.
• LAVE: Llm-powered Agent Assistance And Language Augmentation For Video Editing (2024) • No Venue
  Wang et al.
• Scalable High-resolution Pixel-space Image Synthesis With Hourglass Diffusion Transformers (2024) • No Venue
  Crowson et al.
• Llmtimesmapreduce: Simplified Long-sequence Processing Using Large Language Models (2024) • No Venue
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• Transformers Are Ssms: Generalized Models And Efficient Algorithms Through Structured State Space Duality (2024) • No Venue
  Tri Dao, Albert Gu
• NVLM: Open Frontier-class Multimodal Llms (2024) • No Venue
  Dai et al.
• Jamba-1.5: Hybrid Transformer-mamba Models At Scale (2024) • No Venue
  Team et al.
• Gemma 2: Improving Open Language Models At A Practical Size (2024) • No Venue
  Team et al.
• Livespeech: Low-latency Zero-shot Text-to-speech Via Autoregressive Modeling Of Audio Discrete Codes (2024) • No Venue
  Dang et al.
• Scaling Laws With Vocabulary: Larger Models Deserve Larger Vocabularies (2024) • No Venue
  Tao et al.
• The Road Less Scheduled (2024) • No Venue
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• Larimar: Large Language Models With Episodic Memory Control (2024) • No Venue
  Das et al.
• Griffin: Mixing Gated Linear Recurrences With Local Attention For Efficient Language Models (2024) • No Venue
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• Autoregressive Video Generation Without Vector Quantization (2024) • No Venue
  Deng et al.
• T-FREE: Tokenizer-free Generative Llms Via Sparse Representations For Memory-efficient Embeddings (2024) • No Venue
  Deiseroth et al.
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  Deng et al.
• Vq4dit: Efficient Post-training Vector Quantization For Diffusion Transformers (2024) • No Venue
  Deng et al.
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  Sun et al.
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  Wang et al.
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  Fei et al.
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  Wang et al.
• Natural Language Reinforcement Learning (2024) • No Venue
  Feng et al.
• Tinyfusion: Diffusion Transformers Learned Shallow (2024) • No Venue
  Fang et al.
• Grokked Transformers Are Implicit Reasoners: A Mechanistic Journey To The Edge Of Generalization (2024) • No Venue
  Wang et al.
• Continuous Speculative Decoding For Autoregressive Image Generation (2024) • No Venue
  Wang et al.
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• Chatgpt Outperforms Crowd-workers For Text-annotation Tasks (2023) • Arxiv • 69 citations
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• Mistral 7B (2023) • Arxiv • 237 citations
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• Representation Learning With Large Language Models For Recommendation (2023) • WWW '24: The ACM Web Conference 2024 • 127 citations
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• Reasoning With Language Model Is Planning With World Model (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 80 citations
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• Pre-train, Prompt And Recommendation: A Comprehensive Survey Of Language Modelling Paradigm Adaptations In Recommender Systems (2023) • Transactions of the Association for Computational Linguistics • 69 citations
  Peng Liu, Lemei Zhang, Jon Atle Gulla
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  Zhengqing Yuan, Zhaoxu Li, Lichao Sun
• Resurrecting Recurrent Neural Networks For Long Sequences (2023) • Arxiv • 43 citations
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• Tool Learning With Foundation Models (2023) • Arxiv • 27 citations
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• Gpt4motion: Scripting Physical Motions In Text-to-video Generation Via Blender-oriented GPT Planning (2023) • No Venue
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• Object Recognition As Next Token Prediction (2023) • No Venue
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• Scaling Mlps: A Tale Of Inductive Bias (2023) • No Venue
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• Can LLM Already Serve As A Database Interface? A Big Bench For Large-scale Database Grounded Text-to-sqls (2023) • No Venue
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• Scaling Clinical Trial Matching Using Large Language Models: A Case Study In Oncology (2023) • No Venue
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• Paloma: A Benchmark For Evaluating Language Model Fit (2023) • No Venue
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• When Less Is More: Investigating Data Pruning For Pretraining Llms At Scale (2023) • No Venue
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• Yarn: Efficient Context Window Extension Of Large Language Models (2023) • No Venue
  Peng et al.
• Llmrec: Large Language Models With Graph Augmentation For Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 153 citations
  Wei et al.
• Maskint: Video Editing Via Interpolative Non-autoregressive Masked Transformers (2023) • No Venue
  Ma et al.
• Llm-eval: Unified Multi-dimensional Automatic Evaluation For Open-domain Conversations With Large Language Models (2023) • Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023) • 49 citations
  Yen-Ting Lin, Yun-Nung Chen
• Cure The Headache Of Transformers Via Collinear Constrained Attention (2023) • No Venue
  Zhu et al.
• LLM In A Flash: Efficient Large Language Model Inference With Limited Memory (2023) • No Venue
  Alizadeh et al.
• Layoutprompter: Awaken The Design Ability Of Large Language Models (2023) • No Venue
  Lin et al.
• How Can Recommender Systems Benefit From Large Language Models: A Survey (2023) • ACM Transactions on Information Systems • 98 citations
  Lin et al.
• Mirasol3b: A Multimodal Autoregressive Model For Time-aligned And Contextual Modalities (2023) • No Venue
  Piergiovanni et al.
• Rest Meets React: Self-improvement For Multi-step Reasoning LLM Agent (2023) • No Venue
  Aksitov et al.
• RWKV: Reinventing Rnns For The Transformer Era (2023) • No Venue
  Peng et al.
• GLM-130B: An Open Bilingual Pre-trained Model (2022) • Arxiv • 291 citations
  Zeng et al.
• Holistic Evaluation Of Language Models (2022) • Annals of the New York Academy of Sciences • 128 citations
  Liang et al.
• ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training For Language Understanding And Generation (2021) • Arxiv • 35 citations
  Wang et al.
• Learning To Retrieve Prompts For In-context Learning (2021) • Arxiv • 10 citations
  Ohad Rubin, Jonathan Herzig, Jonathan Berant
• A General Language Assistant As A Laboratory For Alignment (2021) • Arxiv • 27 citations
  Askell et al.
• CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) • AI Open • 52 citations
  Zhang et al.
• The Power Of Scale For Parameter-efficient Prompt Tuning (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 92 citations
  Brian Lester, Rami Al-Rfou, Noah Constant
• Zero: Memory Optimizations Toward Training Trillion Parameter Models (2019) • Arxiv • 72 citations
  Rajbhandari et al.
• Learning Distributed Representations Of Sentences From Unlabelled Data (2016) • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 117 citations
  Felix Hill, Kyunghyun Cho, Anna Korhonen
• Natural Language Processing (almost) From Scratch (2011) • Arxiv • 5171 citations
  Collobert et al.

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Evaluation 2430 papers #

• Can We Predict Before Executing Machine Learning Agents? (2026) • No Venue
  Zheng et al.
• Can Llms Clean Up Your Mess? A Survey Of Application-ready Data Preparation With Llms (2026) • No Venue
  Zhou et al.
• Toward Ultra-long-horizon Agentic Science: Cognitive Accumulation For Machine Learning Engineering (2026) • No Venue
  Zhu et al.
• Abc-bench: Benchmarking Agentic Backend Coding In Real-world Development (2026) • No Venue
  Yang et al.
• Toward Efficient Agents: Memory, Tool Learning, And Planning (2026) • No Venue
  Yang et al.
• Agent-as-a-judge (2026) • No Venue
  You et al.
• Towards Automated Kernel Generation In The Era Of Llms (2026) • No Venue
  Yu et al.
• Infinitevggt: Visual Geometry Grounded Transformer For Endless Streams (2026) • No Venue
  Yuan et al.
• Dr. Zero: Self-evolving Search Agents Without Training Data (2026) • No Venue
  Yue et al.
• Glimprouter: Efficient Collaborative Inference By Glimpsing One Token Of Thoughts (2026) • No Venue
  Zeng et al.
• Evofsm: Controllable Self-evolution For Deep Research With Finite State Machines (2026) • No Venue
  Zhang et al.
• Confidence Estimation For Llms In Multi-turn Interactions (2026) • No Venue
  Zhang et al.
• Arenarl: Scaling RL For Open-ended Agents Via Tournament-based Relative Ranking (2026) • No Venue
  Zhang et al.
• Deepplanning: Benchmarking Long-horizon Agentic Planning With Verifiable Constraints (2026) • No Venue
  Zhang et al.
• Expseek: Self-triggered Experience Seeking For Web Agents (2026) • No Venue
  Zhang et al.
• HERMES: KV Cache As Hierarchical Memory For Efficient Streaming Video Understanding (2026) • No Venue
  Zhang et al.
• PROGRESSLM: Towards Progress Reasoning In Vision-language Models (2026) • No Venue
  Zhang et al.
• Opennovelty: An Llm-powered Agentic System For Verifiable Scholarly Novelty Assessment (2026) • No Venue
  Zhang et al.
• Openvision 3: A Family Of Unified Visual Encoder For Both Understanding And Generation (2026) • No Venue
  Zhang et al.
• MOSS Transcribe Diarize: Accurate Transcription With Speaker Diarization (2026) • No Venue
  Ai et al.
• VIBE: Visual Instruction Based Editor (2026) • No Venue
  Alekseenko et al.
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Webgym: Scaling Training Environments For Visual Web Agents With Realistic Tasks (2026) • No Venue
  Bai et al.
• Entropy Sentinel: Continuous LLM Accuracy Monitoring From Decoding Entropy Traces In STEM (2026) • No Venue
  Pedro Memoli Buffa, Luciano del Corro
• Babyvision: Visual Reasoning Beyond Language (2026) • No Venue
  Chen et al.
• Futureomni: Evaluating Future Forecasting From Omni-modal Context For Multimodal Llms (2026) • No Venue
  Chen et al.
• COMPASS: A Framework For Evaluating Organization-specific Policy Alignment In Llms (2026) • No Venue
  Choi et al.
• K-EXAONE Technical Report (2026) • No Venue
  Choi et al.
• What Users Leave Unsaid: Under-specified Queries Limit Vision-language Models (2026) • No Venue
  Choi et al.
• Translategemma Technical Report (2026) • No Venue
  Finkelstein et al.
• Plenoptic Video Generation (2026) • No Venue
  Fu et al.
• Endless Terminals: Scaling RL Environments For Terminal Agents (2026) • No Venue
  Gandhi et al.
• Bizfinbench.v2: A Unified Dual-mode Bilingual Benchmark For Expert-level Financial Capability Alignment (2026) • No Venue
  Guo et al.
• LTX-2: Efficient Joint Audio-visual Foundation Model (2026) • No Venue
  Hacohen et al.
• Unicorn: Towards Self-improving Unified Multimodal Models Through Self-generated Supervision (2026) • No Venue
  Han et al.
• Gutenocr: A Grounded Vision-language Front-end For Documents (2026) • No Venue
  Heidenreich et al.
• Dancing In Chains: Strategic Persuasion In Academic Rebuttal Via Theory Of Mind (2026) • No Venue
  Zhitao He, Zongwei Lyu, Yi R Fung
• Qwen3-tts Technical Report (2026) • No Venue
  Hu et al.
• Mmdeepresearch-bench: A Benchmark For Multimodal Deep Research Agents (2026) • No Venue
  Huang et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Avmeme Exam: A Multimodal Multilingual Multicultural Benchmark For Llms' Contextual And Cultural Knowledge And Thinking (2026) • No Venue
  Jiang et al.
• Memory-v2v: Augmenting Video-to-video Diffusion Models With Memory (2026) • No Venue
  Lee et al.
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• Qwen3-vl-embedding And Qwen3-vl-reranker: A Unified Framework For State-of-the-art Multimodal Retrieval And Ranking (2026) • No Venue
  Li et al.
• Dreamstyle: A Unified Framework For Video Stylization (2026) • No Venue
  Li et al.
• Agencybench: Benchmarking The Frontiers Of Autonomous Agents In 1m-token Real-world Contexts (2026) • No Venue
  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• Toolprmbench: Evaluating And Advancing Process Reward Models For Tool-using Agents (2026) • No Venue
  Li et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• GDPO: Group Reward-decoupled Normalization Policy Optimization For Multi-reward RL Optimization (2026) • No Venue
  Liu et al.
• Skinflow: Efficient Information Transmission For Open Dermatological Diagnosis Via Dynamic Visual Encoding And Staged RL (2026) • No Venue
  Liu et al.
• Same Claim, Different Judgment: Benchmarking Scenario-induced Bias In Multilingual Financial Misinformation Detection (2026) • No Venue
  Liu et al.
• Numina-lean-agent: An Open And General Agentic Reasoning System For Formal Mathematics (2026) • No Venue
  Liu et al.
• Simplemem: Efficient Lifelong Memory For LLM Agents (2026) • No Venue
  Liu et al.
• Vidore V3: A Comprehensive Evaluation Of Retrieval Augmented Generation In Complex Real-world Scenarios (2026) • No Venue
  Loison et al.
• Beyond Static Tools: Test-time Tool Evolution For Scientific Reasoning (2026) • No Venue
  Lu et al.
• A Safety Report On GPT-5.2, Gemini 3 Pro, Qwen3-vl, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, And Seedream 4.5 (2026) • No Venue
  Ma et al.
• Terminal-bench: Benchmarking Agents On Hard, Realistic Tasks In Command Line Interfaces (2026) • No Venue
  Merrill et al.
• A Bertology View Of LLM Orchestrations: Token- And Layer-selective Probes For Efficient Single-pass Classification (2026) • No Venue
  Gonzalo Ariel Meyoyan, Luciano del Corro
• Opendecoder: Open Large Language Model Decoding To Incorporate Document Quality In RAG (2026) • No Venue
  Mo et al.
• The Script Is All You Need: An Agentic Framework For Long-horizon Dialogue-to-cinematic Video Generation (2026) • No Venue
  Mu et al.
• Typhoon OCR: Open Vision-language Model For Thai Document Extraction (2026) • No Venue
  Nonesung et al.
• Benchmark^2: Systematic Evaluation Of LLM Benchmarks (2026) • No Venue
  Qian et al.
• Future Optical Flow Prediction Improves Robot Control & Video Generation (2026) • No Venue
  Ranasinghe et al.
• Danqing: An Up-to-date Large-scale Chinese Vision-language Pre-training Dataset (2026) • No Venue
  Shen et al.
• Envscaler: Scaling Tool-interactive Environments For LLM Agent Via Programmatic Synthesis (2026) • No Venue
  Song et al.
• Typhoon ASR Real-time: Fastconformer-transducer For Thai Automatic Speech Recognition (2026) • No Venue
  Sirichotedumrong et al.
• Rethinking Composed Image Retrieval Evaluation: A Fine-grained Benchmark From Image Editing (2026) • No Venue
  Song et al.
• When Personalization Misleads: Understanding And Mitigating Hallucinations In Personalized Llms (2026) • No Venue
  Sun et al.
• World Craft: Agentic Framework To Create Visualizable Worlds Via Text (2026) • No Venue
  Sun et al.
• Lightonocr: A 1B End-to-end Multilingual Vision-language Model For State-of-the-art OCR (2026) • No Venue
  Said Taghadouini, Adrien Cavaillès, Baptiste Aubertin
• Talk2move: Reinforcement Learning For Text-instructed Object-level Geometric Transformation In Scenes (2026) • No Venue
  Tan et al.
• Memoryrewardbench: Benchmarking Reward Models For Long-term Memory Management In Large Language Models (2026) • No Venue
  Tang et al.
• Kv-embedding: Training-free Text Embedding Via Internal KV Re-routing In Decoder-only Llms (2026) • No Venue
  Yixuan Tang, Yi Yang
• Liberty: A Causal Framework For Benchmarking Concept-based Explanations Of Llms With Structural Counterfactuals (2026) • No Venue
  Toker et al.
• Cof-t2i: Video Models As Pure Visual Reasoners For Text-to-image Generation (2026) • No Venue
  Tong et al.
• Inference-time Scaling Of Verification: Self-evolving Deep Research Agents Via Test-time Rubric-guided Verification (2026) • No Venue
  Wan et al.
• The Illusion Of Specialization: Unveiling The Domain-invariant "standing Committee" In Mixture-of-experts Models (2026) • No Venue
  Wang et al.
• Swe-pruner: Self-adaptive Context Pruning For Coding Agents (2026) • No Venue
  Wang et al.
• Openrt: An Open-source Red Teaming Framework For Multimodal Llms (2026) • No Venue
  Wang et al.
• Deepresearcheval: An Automated Framework For Deep Research Task Construction And Agentic Evaluation (2026) • No Venue
  Wang et al.
• Visgym: Diverse, Customizable, Scalable Environments For Multimodal Agents (2026) • No Venue
  Wang et al.
• Knowme-bench: Benchmarking Person Understanding For Lifelong Digital Companions (2026) • No Venue
  Wu et al.
• A Pragmatic VLA Foundation Model (2026) • No Venue
  Wu et al.
• Atlas: Orchestrating Heterogeneous Models And Tools For Multi-domain Complex Reasoning (2026) • No Venue
  Wu et al.
• Visual Generation Unlocks Human-like Reasoning Through Multimodal World Models (2026) • No Venue
  Wu et al.
• Mmformalizer: Multimodal Autoformalization In The Wild (2026) • No Venue
  Xiong et al.
• Illusions Of Confidence? Diagnosing LLM Truthfulness Via Neighborhood Consistency (2026) • No Venue
  Xu et al.
• Livecodebench Pro: How Do Olympiad Medalists Judge Llms In Competitive Programming? (2025) • No Venue
  Zheng et al.
• An Empirical Study Of Qwen3 Quantization (2025) • No Venue
  Zheng et al.
• Lex-art: Rethinking Text Generation Via Scalable High-quality Data Synthesis (2025) • No Venue
  Zhao et al.
• Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study On Information-seeking QA Over Scientific Papers (2025) • No Venue
  Zhao et al.
• Babel: Open Multilingual Large Language Models Serving Over 90% Of Global Speakers (2025) • No Venue
  Zhao et al.
• Achieving Olympia-level Geometry Large Language Model Agent Via Complexity Boosting Reinforcement Learning (2025) • No Venue
  Zhao et al.
• Abgen: Evaluating Large Language Models In Ablation Study Design And Evaluation For Scientific Research (2025) • No Venue
  Zhao et al.
• Envisioning Beyond The Pixels: Benchmarking Reasoning-informed Visual Editing (2025) • No Venue
  Zhao et al.
• DICEPTION: A Generalist Diffusion Model For Visual Perceptual Tasks (2025) • No Venue
  Zhao et al.
• Hifi-sr: A Unified Generative Transformer-convolutional Adversarial Network For High-fidelity Speech Super-resolution (2025) • No Venue
  Zhao et al.
• VLA^2: Empowering Vision-language-action Models With An Agentic Framework For Unseen Concept Manipulation (2025) • No Venue
  Zhao et al.
• Ultraimage: Rethinking Resolution Extrapolation In Image Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Ultravico: Breaking Extrapolation Limits In Video Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Qwen3guard Technical Report (2025) • No Venue
  Zhao et al.
• Sciarena: An Open Evaluation Platform For Foundation Models In Scientific Literature Tasks (2025) • No Venue
  Zhao et al.
• Sample, Scrutinize And Scale: Effective Inference-time Search By Scaling Verification (2025) • No Venue
  Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi
• One Token To Fool Llm-as-a-judge (2025) • No Venue
  Zhao et al.
• Generative Universal Verifier As Multimodal Meta-reasoner (2025) • No Venue
  Zhang et al.
• CCD: Mitigating Hallucinations In Radiology Mllms Via Clinical Contrastive Decoding (2025) • No Venue
  Zhang et al.
• Agent Models: Internalizing Chain-of-action Generation Into Reasoning Models (2025) • No Venue
  Zhang et al.
• Autoenv: Automated Environments For Measuring Cross-environment Agent Learning (2025) • No Venue
  Zhang et al.
• API Agents Vs. GUI Agents: Divergence And Convergence (2025) • No Venue
  Zhang et al.
• Artifactsbench: Bridging The Visual-interactive Gap In LLM Code Generation Evaluation (2025) • No Venue
  Zhang et al.
• Both Semantics And Reconstruction Matter: Making Representation Encoders Ready For Text-to-image Generation And Editing (2025) • No Venue
  Zhang et al.
• Bee: A High-quality Corpus And Full-stack Suite To Unlock Advanced Fully Open Mllms (2025) • No Venue
  Zhang et al.
• From Spatial To Actions: Grounding Vision-language-action Model In Spatial Foundation Priors (2025) • No Venue
  Zhang et al.
• Deeptheorem: Advancing LLM Reasoning For Theorem Proving Through Natural Language And Reinforcement Learning (2025) • No Venue
  Zhang et al.
• Compassjudger-2: Towards Generalist Judge Model Via Verifiable Rewards (2025) • No Venue
  Zhang et al.
• Codecriticbench: A Holistic Code Critique Benchmark For Large Language Models (2025) • No Venue
  Zhang et al.
• Certified Mitigation Of Worst-case LLM Copyright Infringement (2025) • No Venue
  Zhang et al.
• DITING: A Multi-agent Evaluation Framework For Benchmarking Web Novel Translation (2025) • No Venue
  Zhang et al.
• Enabling Versatile Controls For Video Diffusion Models (2025) • No Venue
  Zhang et al.
• Bourbaki: Self-generated And Goal-conditioned Mdps For Theorem Proving (2025) • No Venue
  Zimmer et al.
• Latent Collaboration In Multi-agent Systems (2025) • No Venue
  Zou et al.
• M3: 3d-spatial Multimodal Memory (2025) • No Venue
  Zou et al.
• Timelens: Rethinking Video Temporal Grounding With Multimodal Llms (2025) • No Venue
  Zhang et al.
• S1-bench: A Simple Benchmark For Evaluating System 1 Thinking Capability Of Large Reasoning Models (2025) • No Venue
  Zhang et al.
• Redundancy Principles For Mllms Benchmarks (2025) • No Venue
  Zhang et al.
• Soft Thinking: Unlocking The Reasoning Potential Of Llms In Continuous Concept Space (2025) • No Venue
  Zhang et al.
• Sentient Agent As A Judge: Evaluating Higher-order Social Cognition In Large Language Models (2025) • No Venue
  Zhang et al.
• Thyme: Think Beyond Images (2025) • No Venue
  Zhang et al.
• Swe-bench Goes Live! (2025) • No Venue
  Zhang et al.
• Waver: Wave Your Way To Lifelike Video Generation (2025) • No Venue
  Zhang et al.
• Vlm^2-bench: A Closer Look At How Well Vlms Implicitly Link Explicit Matching Visual Cues (2025) • No Venue
  Zhang et al.
• Videorepa: Learning Physics For Video Generation Through Relational Alignment With Foundation Models (2025) • No Venue
  Zhang et al.
• UFO^3: Weaving The Digital Agent Galaxy (2025) • No Venue
  Zhang et al.
• Tensor Product Attention Is All You Need (2025) • No Venue
  Zhang et al.
• T2r-bench: A Benchmark For Generating Article-level Reports From Real World Industrial Tables (2025) • No Venue
  Zhang et al.
• Embodied-reasoner: Synergizing Visual Search, Reasoning, And Action For Embodied Interactive Tasks (2025) • No Venue
  Zhang et al.
• Flashvideo:flowing Fidelity To Detail For Efficient High-resolution Video Generation (2025) • No Venue
  Zhang et al.
• MM-RLHF: The Next Step Forward In Multimodal LLM Alignment (2025) • No Venue
  Zhang et al.
• Llava-mini: Efficient Image And Video Large Multimodal Models With One Vision Token (2025) • No Venue
  Zhang et al.
• Iheval: Evaluating Language Models On Following The Instruction Hierarchy (2025) • No Venue
  Zhang et al.
• How Far Are We From Genuinely Useful Deep Research Agents? (2025) • No Venue
  Zhang et al.
• Innogym: Benchmarking The Innovation Potential Of AI Agents (2025) • No Venue
  Zhang et al.
• In-context Edit: Enabling Instructional Image Editing With In-context Generation In Large Scale Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Qwen3 Embedding: Advancing Text Embedding And Reranking Through Foundation Models (2025) • No Venue
  Zhang et al.
• Phystoolbench: Benchmarking Physical Tool Understanding For Mllms (2025) • No Venue
  Zhang et al.
• Openmmreasoner: Pushing The Frontiers For Multimodal Reasoning With An Open And General Recipe (2025) • No Venue
  Zhang et al.
• MUG-V 10B: High-efficiency Training Pipeline For Large Video Generation Models (2025) • No Venue
  Zhang et al.
• Mlrc-bench: Can Language Agents Solve Machine Learning Research Challenges? (2025) • No Venue
  Zhang et al.
• Minimax-speech: Intrinsic Zero-shot Text-to-speech With A Learnable Speaker Encoder (2025) • No Venue
  Zhang et al.
• Memevolve: Meta-evolution Of Agent Memory Systems (2025) • No Venue
  Zhang et al.
• MARS: A Multi-agent Framework Incorporating Socratic Guidance For Automated Prompt Optimization (2025) • No Venue
  Zhang et al.
• IVY-FAKE: A Unified Explainable Framework And Benchmark For Image And Video AIGC Detection (2025) • No Venue
  Zhang et al.
• V-MAGE: A Game Evaluation Framework For Assessing Visual-centric Capabilities In Multimodal Large Language Models (2025) • No Venue
  Zheng et al.
• Seeing From Another Perspective: Evaluating Multi-view Understanding In Mllms (2025) • No Venue
  Yeh et al.
• Step Back To Leap Forward: Self-backtracking For Boosting Reasoning Of Language Models (2025) • No Venue
  Yang et al.
• Qwen2.5-1m Technical Report (2025) • No Venue
  Yang et al.
• Longvt: Incentivizing "thinking With Long Videos" Via Native Tool Calling (2025) • No Venue
  Yang et al.
• Medical World Model: Generative Simulation Of Tumor Evolution For Treatment Planning (2025) • No Venue
  Yang et al.
• Mantis: A Versatile Vision-language-action Model With Disentangled Visual Foresight (2025) • No Venue
  Yang et al.
• Multiverse: Your Language Models Secretly Decide How To Parallelize And Merge Generation (2025) • No Venue
  Yang et al.
• Moose-chem2: Exploring LLM Limits In Fine-grained Scientific Hypothesis Discovery Via Hierarchical Search (2025) • No Venue
  Yang et al.
• Qwen3 Technical Report (2025) • No Venue
  Yang et al.
• Sceneweaver: All-in-one 3D Scene Synthesis With An Extensible And Self-reflective Agent (2025) • No Venue
  Yang et al.
• Vidtext: Towards Comprehensive Evaluation For Video Text Understanding (2025) • No Venue
  Yang et al.
• Structeval: Benchmarking Llms' Capabilities To Generate Structural Outputs (2025) • No Venue
  Yang et al.
• Swe-smith: Scaling Data For Software Engineering Agents (2025) • No Venue
  Yang et al.
• The Mirage Of Model Editing: Revisiting Evaluation In The Wild (2025) • No Venue
  Yang et al.
• Towards Physically Plausible Video Generation Via VLM Planning (2025) • No Venue
  Yang et al.
• Zerogui: Automating Online GUI Learning At Zero Human Cost (2025) • No Venue
  Yang et al.
• Wikiautogen: Towards Multi-modal Wikipedia-style Article Generation (2025) • No Venue
  Yang et al.
• Are Reasoning Models More Prone To Hallucination? (2025) • No Venue
  Yao et al.
• A Rigorous Benchmark With Multidimensional Evaluation For Deep Research Agents: From Answers To Reports (2025) • No Venue
  Yao et al.
• Through-the-mask: Mask-based Motion Trajectories For Image-to-video Generation (2025) • No Venue
  Yariv et al.
• Timechat-online: 80% Visual Tokens Are Naturally Redundant In Streaming Videos (2025) • No Venue
  Yao et al.
• Spin-bench: How Well Do Llms Plan Strategically And Reason Socially? (2025) • No Venue
  Yao et al.
• Black-box On-policy Distillation Of Large Language Models (2025) • No Venue
  Ye et al.
• Agentfold: Long-horizon Web Agents With Proactive Context Management (2025) • No Venue
  Ye et al.
• A Multi-dimensional Constraint Framework For Evaluating And Improving Instruction Following In Large Language Models (2025) • No Venue
  Ye et al.
• Realgen: Photorealistic Text-to-image Generation Via Detector-guided Rewards (2025) • No Venue
  Ye et al.
• Echo-4o: Harnessing The Power Of Gpt-4o Synthetic Images For Improved Image Generation (2025) • No Venue
  Ye et al.
• Imgedit: A Unified Image Editing Dataset And Benchmark (2025) • No Venue
  Ye et al.
• Primitiveanything: Human-crafted 3D Primitive Assembly Generation With Auto-regressive Transformer (2025) • No Venue
  Ye et al.
• Toolhop: A Query-driven Benchmark For Evaluating Large Language Models In Multi-hop Tool Use (2025) • No Venue
  Ye et al.
• VLA-R1: Enhancing Reasoning In Vision-language-action Models (2025) • No Venue
  Ye et al.
• Parrot: Persuasion And Agreement Robustness Rating Of Output Truth -- A Sycophancy Robustness Benchmark For Llms (2025) • No Venue
  Yusuf Çelebi, Mahmoud El Hussieni, Özay Ezerceli
• Pangu Ultra: Pushing The Limits Of Dense Large Language Models On Ascend Npus (2025) • No Venue
  Yin et al.
• CLEAR: Error Analysis Via Llm-as-a-judge Made Easy (2025) • No Venue
  Yehudai et al.
• Tattoo: Tool-grounded Thinking PRM For Test-time Scaling In Tabular Reasoning (2025) • No Venue
  Zou et al.
• Mixture Of Global And Local Experts With Diffusion Transformer For Controllable Face Generation (2025) • No Venue
  Zou et al.
• Multi-swe-bench: A Multilingual Benchmark For Issue Resolving (2025) • No Venue
  Zan et al.
• Aralingbench A Human-annotated Benchmark For Evaluating Arabic Linguistic Capabilities Of Large Language Models (2025) • No Venue
  Zbib et al.
• Reinforcing Multi-turn Reasoning In LLM Agents Via Turn-level Credit Assignment (2025) • No Venue
  Zeng et al.
• Futurex: An Advanced Live Benchmark For LLM Agents In Future Prediction (2025) • No Venue
  Zeng et al.
• Uitron: Foundational GUI Agent With Advanced Perception And Planning (2025) • No Venue
  Zeng et al.
• Vstyle: A Benchmark For Voice Style Adaptation With Spoken Instructions (2025) • No Venue
  Zhan et al.
• Survey On Evaluation Of Llm-based Agents (2025) • No Venue
  Yehudai et al.
• Infinity-rope: Action-controllable Infinite Video Generation Emerges From Autoregressive Self-rollout (2025) • No Venue
  Yesiltepe et al.
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  Runpeng Yu, Xinyin Ma, Xinchao Wang
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• Dimple: Discrete Diffusion Multimodal Large Language Model With Parallel Decoding (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
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  Yuan et al.
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  Openai et al.
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  Kimiteam et al.
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  Belitsky et al.
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  Bi et al.
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  Bi et al.
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• Opendataarena: A Fair And Open Arena For Benchmarking Post-training Dataset Value (2025) • No Venue
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• MMGR: Multi-modal Generative Reasoning (2025) • No Venue
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• MM-IQ: Benchmarking Human-like Abstraction And Reasoning In Multimodal Models (2025) • No Venue
  Huanqia Cai, Yijun Yang, Winston Hu
• MORSE-500: A Programmatically Controllable Video Benchmark To Stress-test Multimodal Reasoning (2025) • No Venue
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• Bigo(bench) -- Can Llms Generate Code With Controlled Time And Space Complexity? (2025) • No Venue
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  Cemri et al.
• Hunyuanimage 3.0 Technical Report (2025) • No Venue
  Cao et al.
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• Video Simpleqa: Towards Factuality Evaluation In Large Video Language Models (2025) • No Venue
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• T2av-compass: Towards Unified Evaluation For Text-to-audio-video Generation (2025) • No Venue
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• A3: Android Agent Arena For Mobile GUI Agents (2025) • No Venue
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• Web-shepherd: Advancing Prms For Reinforcing Web Agents (2025) • No Venue
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• Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-mesh Representation, And Evaluation Metrics (2025) • No Venue
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• Oneig-bench: Omni-dimensional Nuanced Evaluation For Image Generation (2025) • No Venue
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• Global PIQA: Evaluating Physical Commonsense Reasoning Across 100+ Languages And Cultures (2025) • No Venue
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• Communication-efficient Language Model Training Scales Reliably And Robustly: Scaling Laws For Diloco (2025) • No Venue
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  Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou
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• Agentfrontier: Expanding The Capability Frontier Of LLM Agents With Zpd-guided Data Synthesis (2025) • No Venue
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• Coda: Agentic Systems For Collaborative Data Visualization (2025) • No Venue
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• Blip3o-next: Next Frontier Of Native Image Generation (2025) • No Venue
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• Autopr: Let's Automate Your Academic Promotion! (2025) • No Venue
  Chen et al.
• Browsecomp-plus: A More Fair And Transparent Evaluation Benchmark Of Deep-research Agent (2025) • No Venue
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• Mindwatcher: Toward Smarter Multimodal Tool-integrated Reasoning (2025) • No Venue
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• Comp: Continual Multimodal Pre-training For Vision Foundation Models (2025) • No Venue
  Chen et al.
• Enigmata: Scaling Logical Reasoning In Large Language Models With Synthetic Verifiable Puzzles (2025) • No Venue
  Chen et al.
• FINEREASON: Evaluating And Improving Llms' Deliberate Reasoning Through Reflective Puzzle Solving (2025) • No Venue
  Chen et al.
• Humo: Human-centric Video Generation Via Collaborative Multi-modal Conditioning (2025) • No Venue
  Chen et al.
• Goku: Flow Based Video Generative Foundation Models (2025) • No Venue
  Chen et al.
• Go With Your Gut: Scaling Confidence For Autoregressive Image Generation (2025) • No Venue
  Chen et al.
• Halumem: Evaluating Hallucinations In Memory Systems Of Agents (2025) • No Venue
  Chen et al.
• GRPO-CARE: Consistency-aware Reinforcement Learning For Multimodal Reasoning (2025) • No Venue
  Chen et al.
• Judgelrm: Large Reasoning Models As A Judge (2025) • No Venue
  Chen et al.
• Mathflow: Enhancing The Perceptual Flow Of Mllms For Visual Mathematical Problems (2025) • No Venue
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• RM-R1: Reward Modeling As Reasoning (2025) • No Venue
  Chen et al.
• Pass@k Training For Adaptively Balancing Exploration And Exploitation Of Large Reasoning Models (2025) • No Venue
  Chen et al.
• Omniinsert: Mask-free Video Insertion Of Any Reference Via Diffusion Transformer Models (2025) • No Venue
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• Mme5: Improving Multimodal Multilingual Embeddings Via High-quality Synthetic Data (2025) • No Venue
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• Mlr-bench: Evaluating AI Agents On Open-ended Machine Learning Research (2025) • No Venue
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• Mvi-bench: A Comprehensive Benchmark For Evaluating Robustness To Misleading Visual Inputs In Lvlms (2025) • No Venue
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• Musixqa: Advancing Visual Music Understanding In Multimodal Large Language Models (2025) • No Venue
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• Ouroboros-diffusion: Exploring Consistent Content Generation In Tuning-free Long Video Diffusion (2025) • No Venue
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• Paper2web: Let's Make Your Paper Alive! (2025) • No Venue
  Chen et al.
• Reveal Hidden Pitfalls And Navigate Next Generation Of Vector Similarity Search From Task-centric Views (2025) • No Venue
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• Planning With Reasoning Using Vision Language World Model (2025) • No Venue
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• Pi-flow: Policy-based Few-step Generation Via Imitation Distillation (2025) • No Venue
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• Qilin: A Multimodal Information Retrieval Dataset With App-level User Sessions (2025) • No Venue
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• Reform: Reflective Autoformalization With Prospective Bounded Sequence Optimization (2025) • No Venue
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• Robotwin 2.0: A Scalable Data Generator And Benchmark With Strong Domain Randomization For Robust Bimanual Robotic Manipulation (2025) • No Venue
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• S^2-guidance: Stochastic Self Guidance For Training-free Enhancement Of Diffusion Models (2025) • No Venue
  Chen et al.
• Sharegpt-4o-image: Aligning Multimodal Models With Gpt-4o-level Image Generation (2025) • No Venue
  Chen et al.
• Svgenius: Benchmarking Llms In SVG Understanding, Editing And Generation (2025) • No Venue
  Chen et al.
• Stockbench: Can LLM Agents Trade Stocks Profitably In Real-world Markets? (2025) • No Venue
  Chen et al.
• SPC: Evolving Self-play Critic Via Adversarial Games For LLM Reasoning (2025) • No Venue
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• Tivibench: Benchmarking Think-in-video Reasoning For Video Generative Models (2025) • No Venue
  Chen et al.
• Videovista-culturallingo: 360^circ Horizons-bridging Cultures, Languages, And Domains In Video Comprehension (2025) • No Venue
  Chen et al.
• Xverify: Efficient Answer Verifier For Reasoning Model Evaluations (2025) • No Venue
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• Segagent: Exploring Pixel Understanding Capabilities In Mllms By Imitating Human Annotator Trajectories (2025) • No Venue
  Zhu et al.
• Video-holmes: Can MLLM Think Like Holmes For Complex Video Reasoning? (2025) • No Venue
  Cheng et al.
• Caparena: Benchmarking And Analyzing Detailed Image Captioning In The LLM Era (2025) • No Venue
  Cheng et al.
• Animegamer: Infinite Anime Life Simulation With Next Game State Prediction (2025) • No Venue
  Cheng et al.
• V-star: Benchmarking Video-llms On Video Spatio-temporal Reasoning (2025) • No Venue
  Cheng et al.
• Pointarena: Probing Multimodal Grounding Through Language-guided Pointing (2025) • No Venue
  Cheng et al.
• Twinflow: Realizing One-step Generation On Large Models With Self-adversarial Flows (2025) • No Venue
  Cheng et al.
• Revisiting Reinforcement Learning For LLM Reasoning From A Cross-domain Perspective (2025) • No Venue
  Cheng et al.
• Audio-aware Large Language Models As Judges For Speaking Styles (2025) • No Venue
  Chiang et al.
• Livetalk: Real-time Multimodal Interactive Video Diffusion Via Improved On-policy Distillation (2025) • No Venue
  Chern et al.
• Multimodal Evaluation Of Russian-language Architectures (2025) • No Venue
  Chervyakov et al.
• Gold-medalist Performance In Solving Olympiad Geometry With Alphageometry2 (2025) • No Venue
  Chervonyi et al.
• Prosperity Before Collapse: How Far Can Off-policy RL Reach With Stale Data On Llms? (2025) • No Venue
  Haizhong Zheng, Jiawei Zhao, Bedi Chen
• Multimodal Spatial Reasoning In The Large Model Era: A Survey And Benchmarks (2025) • No Venue
  Zheng et al.
• Icon: In-context Contribution For Automatic Data Selection (2025) • No Venue
  Yang et al.
• Humanomniv2: From Understanding To Omni-modal Reasoning With Context (2025) • No Venue
  Yang et al.
• Embodiedbench: Comprehensive Benchmarking Multi-modal Large Language Models For Vision-driven Embodied Agents (2025) • No Venue
  Yang et al.
• Codeclash: Benchmarking Goal-oriented Software Engineering (2025) • No Venue
  Yang et al.
• Captionqa: Is Your Caption As Useful As The Image Itself? (2025) • No Venue
  Yang et al.
• Can Llms Generate High-quality Test Cases For Algorithm Problems? Testcase-eval: A Systematic Evaluation Of Fault Coverage And Exposure (2025) • No Venue
  Yang et al.
• BARREL: Boundary-aware Reasoning For Factual And Reliable Lrms (2025) • No Venue
  Yang et al.
• A Controllable Examination For Long-context Language Models (2025) • No Venue
  Yang et al.
• Sci-verifier: Scientific Verifier With Thinking (2025) • No Venue
  Zheng et al.
• Surveyforge: On The Outline Heuristics, Memory-driven Generation, And Multi-dimensional Evaluation For Automated Survey Writing (2025) • No Venue
  Yan et al.
• Can Understanding And Generation Truly Benefit Together -- Or Just Coexist? (2025) • No Venue
  Yan et al.
• Step-audio-editx Technical Report (2025) • No Venue
  Yan et al.
• Gpt-imgeval: A Comprehensive Benchmark For Diagnosing Gpt4o In Image Generation (2025) • No Venue
  Yan et al.
• Do Phd-level Llms Truly Grasp Elementary Addition? Probing Rule Learning Vs. Memorization In Large Language Models (2025) • No Venue
  Yan et al.
• Recitation Over Reasoning: How Cutting-edge Language Models Can Fail On Elementary School-level Reasoning Problems? (2025) • No Venue
  Yan et al.
• Kwai Keye-vl 1.5 Technical Report (2025) • No Venue
  Yang et al.
• Verifybench: Benchmarking Reference-based Reward Systems For Large Language Models (2025) • No Venue
  Yan et al.
• Pretrainzero: Reinforcement Active Pretraining (2025) • No Venue
  Xing et al.
• Analyzing Llms' Knowledge Boundary Cognition Across Languages Through The Lens Of Internal Representations (2025) • No Venue
  Xiao et al.
• Motionstreamer: Streaming Motion Generation Via Diffusion-based Autoregressive Model In Causal Latent Space (2025) • No Venue
  Xiao et al.
• Mentrasuite: Post-training Large Language Models For Mental Health Reasoning And Assessment (2025) • No Venue
  Xiao et al.
• MIEB: Massive Image Embedding Benchmark (2025) • No Venue
  Xiao et al.
• Towards Dynamic Theory Of Mind: Evaluating LLM Adaptation To Temporal Evolution Of Human States (2025) • No Venue
  Xiao et al.
• Retrieval-augmented Large Language Models For Financial Time Series Forecasting (2025) • No Venue
  Xiao et al.
• Spatialtree: How Spatial Abilities Branch Out In Mllms (2025) • No Venue
  Xiao et al.
• Interleaved Reasoning For Large Language Models Via Reinforcement Learning (2025) • No Venue
  Xie et al.
• FG-CLIP 2: A Bilingual Fine-grained Vision-language Alignment Model (2025) • No Venue
  Xie et al.
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  Xie et al.
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  Xie et al.
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  Xing et al.
• Reconstruction Alignment Improves Unified Multimodal Models (2025) • No Venue
  Xie et al.
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  Xie et al.
• Visjudge-bench: Aesthetics And Quality Assessment Of Visualizations (2025) • No Venue
  Xie et al.
• Caprl: Stimulating Dense Image Caption Capabilities Via Reinforcement Learning (2025) • No Venue
  Xing et al.
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  Xing et al.
• Multi-crit: Benchmarking Multimodal Judges On Pluralistic Criteria-following (2025) • No Venue
  Xiong et al.
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• Biasfreebench: A Benchmark For Mitigating Bias In Large Language Model Responses (2025) • No Venue
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• Can Llms Identify Critical Limitations Within Scientific Research? A Systematic Evaluation On AI Research Papers (2025) • No Venue
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• Filmagent: A Multi-agent Framework For End-to-end Film Automation In Virtual 3D Spaces (2025) • No Venue
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• Factuality Matters: When Image Generation And Editing Meet Structured Visuals (2025) • No Venue
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• Withanyone: Towards Controllable And ID Consistent Image Generation (2025) • No Venue
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• Vs-bench: Evaluating Vlms For Strategic Reasoning And Decision-making In Multi-agent Environments (2025) • No Venue
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• CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark (2025) • No Venue
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• Coser: Coordinating Llm-based Persona Simulation Of Established Roles (2025) • No Venue
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• Confucius Code Agent: An Open-sourced AI Software Engineer At Industrial Scale (2025) • No Venue
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• Grasp Any Region: Towards Precise, Contextual Pixel Understanding For Multimodal Llms (2025) • No Venue
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• ENACT: Evaluating Embodied Cognition With World Modeling Of Egocentric Interaction (2025) • No Venue
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• Explore To Evolve: Scaling Evolved Aggregation Logic Via Proactive Online Exploration For Deep Research Agents (2025) • No Venue
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• Game-tars: Pretrained Foundation Models For Scalable Generalist Multimodal Game Agents (2025) • No Venue
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• Personalized Safety In Llms: A Benchmark And A Planning-based Agent Approach (2025) • No Venue
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• Leetcodedataset: A Temporal Dataset For Robust Evaluation And Efficient Training Of Code Llms (2025) • No Venue
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• BMMR: A Large-scale Bilingual Multimodal Multi-discipline Reasoning Dataset (2025) • No Venue
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• Samplemix: A Sample-wise Pre-training Data Mixing Strategey By Coordinating Data Quality And Diversity (2025) • No Venue
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• Omnithink: Expanding Knowledge Boundaries In Machine Writing Through Thinking (2025) • No Venue
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• Spatialscore: Towards Unified Evaluation For Multimodal Spatial Understanding (2025) • No Venue
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• Reinforcement Learning In Vision: A Survey (2025) • No Venue
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• Reasoning Or Memorization? Unreliable Results Of Reinforcement Learning Due To Data Contamination (2025) • No Venue
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• Quantile Advantage Estimation For Entropy-safe Reasoning (2025) • No Venue
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• Recode: Updating Code API Knowledge With Reinforcement Learning (2025) • No Venue
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• Writingbench: A Comprehensive Benchmark For Generative Writing (2025) • No Venue
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• Vbench-2.0: Advancing Video Generation Benchmark Suite For Intrinsic Faithfulness (2025) • No Venue
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• Webdancer: Towards Autonomous Information Seeking Agency (2025) • No Venue
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• Free Lunch Alignment Of Text-to-image Diffusion Models Without Preference Image Pairs (2025) • No Venue
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• What Generative Search Engines Like And How To Optimize Web Content Cooperatively (2025) • No Venue
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• Resum: Unlocking Long-horizon Search Intelligence Via Context Summarization (2025) • No Venue
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• Vidic: Video Difference Captioning (2025) • No Venue
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• Unlocking Efficient Long-to-short LLM Reasoning With Model Merging (2025) • No Venue
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• Synthrl: Scaling Visual Reasoning With Verifiable Data Synthesis (2025) • No Venue
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• Superwriter: Reflection-driven Long-form Generation With Large Language Models (2025) • No Venue
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• Step-audio 2 Technical Report (2025) • No Venue
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• J1: Incentivizing Thinking In Llm-as-a-judge Via Reinforcement Learning (2025) • No Venue
  Whitehouse et al.
• Finevision: Open Data Is All You Need (2025) • No Venue
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• Navitrace: Evaluating Embodied Navigation Of Vision-language Models (2025) • No Venue
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• Datasheets Aren't Enough: Datarubrics For Automated Quality Metrics And Accountability (2025) • No Venue
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• Widesearch: Benchmarking Agentic Broad Info-seeking (2025) • No Venue
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• Any2caption:interpreting Any Condition To Caption For Controllable Video Generation (2025) • No Venue
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• Omnigen2: Exploration To Advanced Multimodal Generation (2025) • No Venue
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• Multiplayer Nash Preference Optimization (2025) • No Venue
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• Mcpmark: A Benchmark For Stress-testing Realistic And Comprehensive MCP Use (2025) • No Venue
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• Longwriter-zero: Mastering Ultra-long Text Generation Via Reinforcement Learning (2025) • No Venue
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• Generate, But Verify: Reducing Hallucination In Vision-language Models With Retrospective Resampling (2025) • No Venue
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• Effectively Controlling Reasoning Models Through Thinking Intervention (2025) • No Venue
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• Think Or Not? Selective Reasoning Via Reinforcement Learning For Vision-language Models (2025) • No Venue
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• Tikmix: Take Data Influence Into Dynamic Mixture For Language Model Pre-training (2025) • No Venue
  Wang et al.
• Transition Models: Rethinking The Generative Learning Objective (2025) • No Venue
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• Tina: Tiny Reasoning Models Via Lora (2025) • No Venue
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• Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation And Methodology (2025) • No Venue
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• Unigenbench++: A Unified Semantic Evaluation Benchmark For Text-to-image Generation (2025) • No Venue
  Wang et al.
• UI-TARS-2 Technical Report: Advancing GUI Agent With Multi-turn Reinforcement Learning (2025) • No Venue
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• Trustjudge: Inconsistencies Of Llm-as-a-judge And How To Alleviate Them (2025) • No Venue
  Wang et al.
• Two Experts Are All You Need For Steering Thinking: Reinforcing Cognitive Effort In Moe Reasoning Models Without Additional Training (2025) • No Venue
  Wang et al.
• Unified Reward Model For Multimodal Understanding And Generation (2025) • No Venue
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• Vicrit: A Verifiable Reinforcement Learning Proxy Task For Visual Perception In Vlms (2025) • No Venue
  Wang et al.
• Video Reality Test: Can Ai-generated ASMR Videos Fool Vlms And Humans? (2025) • No Venue
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• Visualsimpleqa: A Benchmark For Decoupled Evaluation Of Large Vision-language Models In Fact-seeking Question Answering (2025) • No Venue
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• Visualprm: An Effective Process Reward Model For Multimodal Reasoning (2025) • No Venue
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• Worldpm: Scaling Human Preference Modeling (2025) • No Venue
  Wang et al.
• Voiceassistant-eval: Benchmarking AI Assistants Across Listening, Speaking, And Viewing (2025) • No Venue
  Wang et al.
• Llama-3.1-foundationai-securityllm-8b-instruct Technical Report (2025) • No Venue
  Weerawardhena et al.
• Look Before You Leap: A Gui-critic-r1 Model For Pre-operative Error Diagnosis In GUI Automation (2025) • No Venue
  Wanyan et al.
• Spot The Fake: Large Multimodal Model-based Synthetic Image Detection With Artifact Explanation (2025) • No Venue
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• Mocha: Towards Movie-grade Talking Character Synthesis (2025) • No Venue
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• Efficient Model Selection For Time Series Forecasting Via Llms (2025) • No Venue
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• Codearc: Benchmarking Reasoning Capabilities Of LLM Agents For Inductive Program Synthesis (2025) • No Venue
  Wei et al.
• Deepseek-ocr: Contexts Optical Compression (2025) • No Venue
  Haoran Wei, Yaofeng Sun, Yukun Li
• Ggbench: A Geometric Generative Reasoning Benchmark For Unified Multimodal Models (2025) • No Venue
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• TIME: A Multi-level Benchmark For Temporal Reasoning Of Llms In Real-world Scenarios (2025) • No Venue
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• Videorope: What Makes For Good Video Rotary Position Embedding? (2025) • No Venue
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• On The Theoretical Limitations Of Embedding-based Retrieval (2025) • No Venue
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• Dynamicverse: A Physically-aware Multimodal Framework For 4D World Modeling (2025) • No Venue
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• 3D Scene Generation: A Survey (2025) • No Venue
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• Reinforcement Learning With Verifiable Rewards Implicitly Incentivizes Correct Reasoning In Base Llms (2025) • No Venue
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• Fantastic Pretraining Optimizers And Where To Find Them (2025) • No Venue
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• Gr-dexter Technical Report (2025) • No Venue
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• Vibe Checker: Aligning Code Evaluation With Human Preference (2025) • No Venue
  Zhong et al.
• A Theoretical Study On Bridging Internal Probability And Self-consistency For LLM Reasoning (2025) • No Venue
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• How To Get Your LLM To Generate Challenging Problems For Evaluation (2025) • No Venue
  Arkil Patel, Siva Reddy, Dzmitry Bahdanau
• Automind: Adaptive Knowledgeable Agent For Automated Data Science (2025) • No Venue
  Ou et al.
• Bielik 11B V2 Technical Report (2025) • No Venue
  Ociepa et al.
• Visual Instruction Bottleneck Tuning (2025) • No Venue
  Oh et al.
• Comment On The Illusion Of Thinking: Understanding The Strengths And Limitations Of Reasoning Models Via The Lens Of Problem Complexity (2025) • No Venue
  C. Opus, A. Lawsen
• Multibanana: A Challenging Benchmark For Multi-reference Text-to-image Generation (2025) • No Venue
  Oshima et al.
• Strategic Dishonesty Can Undermine AI Safety Evaluations Of Frontier LLM (2025) • No Venue
  Panfilov et al.
• Explorer: Scaling Exploration-driven Web Trajectory Synthesis For Multimodal Web Agents (2025) • No Venue
  Pahuja et al.
• K-lora: Unlocking Training-free Fusion Of Any Subject And Style Loras (2025) • No Venue
  Ziheng Ouyang, Zhen Li, Qibin Hou
• FLEXITOKENS: Flexible Tokenization For Evolving Language Models (2025) • No Venue
  Abraham Toluase Owodunni, Orevaoghene Ahia, Sachin Kumar
• Large Language Models Think Too Fast To Explore Effectively (2025) • No Venue
  Lan Pan, Hanbo Xie, Robert C. Wilson
• Mt-video-bench: A Holistic Video Understanding Benchmark For Evaluating Multimodal Llms In Multi-turn Dialogues (2025) • No Venue
  Pan et al.
• Tokenhsi: Unified Synthesis Of Physical Human-scene Interactions Through Task Tokenization (2025) • No Venue
  Pan et al.
• REST: Stress Testing Large Reasoning Models By Asking Multiple Problems At Once (2025) • No Venue
  Pan et al.
• Teaching With Lies: Curriculum DPO On Synthetic Negatives For Hallucination Detection (2025) • No Venue
  Pandit et al.
• SIFT-50M: A Large-scale Multilingual Dataset For Speech Instruction Fine-tuning (2025) • No Venue
  Pandey et al.
• MCIF: Multimodal Crosslingual Instruction-following Benchmark From Scientific Talks (2025) • No Venue
  Papi et al.
• Paper2poster: Towards Multimodal Poster Automation From Scientific Papers (2025) • No Venue
  Pang et al.
• FAMA: The First Large-scale Open-science Speech Foundation Model For English And Italian (2025) • No Venue
  Papi et al.
• Bridging Reasoning To Learning: Unmasking Illusions Using Complexity Out Of Distribution Generalization (2025) • No Venue
  Paqaleh et al.
• A Survey On Inference Engines For Large Language Models: Perspectives On Optimization And Efficiency (2025) • No Venue
  Park et al.
• Fedrand: Enhancing Privacy In Federated Learning With Randomized Lora Subparameter Updates (2025) • No Venue
  Park et al.
• Evaluating Multimodal Generative AI With Korean Educational Standards (2025) • No Venue
  Sanghee Park, Geewook Kim
• Deepscholar-bench: A Live Benchmark And Automated Evaluation For Generative Research Synthesis (2025) • No Venue
  Patel et al.
• Assetopsbench: Benchmarking AI Agents For Task Automation In Industrial Asset Operations And Maintenance (2025) • No Venue
  Patel et al.
• AION-1: Omnimodal Foundation Model For Astronomical Sciences (2025) • No Venue
  Parker et al.
• Mvu-eval: Towards Multi-video Understanding Evaluation For Multimodal Llms (2025) • No Venue
  Peng et al.
• Interpretable Physics Reasoning And Performance Taxonomy In Vision-language Models (2025) • No Venue
  Pawar et al.
• Context Is What You Need: The Maximum Effective Context Window For Real World Limits Of Llms (2025) • No Venue
  Norman Paulsen
• Optimizing Multilingual Text-to-speech With Accents & Emotions (2025) • No Venue
  Pawar et al.
• Fine-grained Detection Of Context-grounded Hallucinations Using Llms (2025) • No Venue
  Peisakhovsky et al.
• Fineweb2: One Pipeline To Scale Them All -- Adapting Pre-training Data Processing To Every Language (2025) • No Venue
  Penedo et al.
• Multifinben: A Multilingual, Multimodal, And Difficulty-aware Benchmark For Financial LLM Evaluation (2025) • No Venue
  Peng et al.
• Can Visual Input Be Compressed? A Visual Token Compression Benchmark For Large Multimodal Models (2025) • No Venue
  Peng et al.
• Bizgen: Advancing Article-level Visual Text Rendering For Infographics Generation (2025) • No Venue
  Peng et al.
• Criticlean: Critic-guided Reinforcement Learning For Mathematical Formalization (2025) • No Venue
  Peng et al.
• Efficiency-effectiveness Reranking Flops For Llm-based Rerankers (2025) • No Venue
  Peng et al.
• Skywork R1V: Pioneering Multimodal Reasoning With Chain-of-thought (2025) • No Venue
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• Plutus: Benchmarking Large Language Models In Low-resource Greek Finance (2025) • No Venue
  Peng et al.
• UNIDOC-BENCH: A Unified Benchmark For Document-centric Multimodal RAG (2025) • No Venue
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• Humanity's Last Exam (2025) • No Venue
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• Breaking The Exploration Bottleneck: Rubric-scaffolded Reinforcement Learning For General LLM Reasoning (2025) • No Venue
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• Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification To Improve Trustworthy QA (2025) • No Venue
  Pletenev et al.
• So Let's Replace This Phrase With Insult... Lessons Learned From Generation Of Toxic Texts With Llms (2025) • No Venue
  Sergey Pletenev, Daniil Moskovskiy, Alexander Panchenko
• Generating Physically Stable And Buildable LEGO Designs From Text (2025) • No Venue
  Pun et al.
• THOUGHTTERMINATOR: Benchmarking, Calibrating, And Mitigating Overthinking In Reasoning Models (2025) • No Venue
  Pu et al.
• Judge Anything: MLLM As A Judge Across Any Modality (2025) • No Venue
  Pu et al.
• Quantiphy: A Quantitative Benchmark Evaluating Physical Reasoning Abilities Of Vision-language Models (2025) • No Venue
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• A Probabilistic Inference Approach To Inference-time Scaling Of Llms Using Particle-based Monte Carlo Methods (2025) • No Venue
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• Dynamic Large Concept Models: Latent Reasoning In An Adaptive Semantic Space (2025) • No Venue
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• BEAR: Benchmarking And Enhancing Multimodal Language Models For Atomic Embodied Capabilities (2025) • No Venue
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• Vcr-bench: A Comprehensive Evaluation Framework For Video Chain-of-thought Reasoning (2025) • No Venue
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• Layercomposer: Interactive Personalized T2I Via Spatially-aware Layered Canvas (2025) • No Venue
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• Dispider: Enabling Video Llms With Active Real-time Interaction Via Disentangled Perception, Decision, And Reaction (2025) • No Venue
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• Userrl: Training Interactive User-centric Agent Via Reinforcement Learning (2025) • No Venue
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• Toolrl: Reward Is All Tool Learning Needs (2025) • No Venue
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• Userbench: An Interactive Gym Environment For User-centric Agents (2025) • No Venue
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• Mle-dojo: Interactive Environments For Empowering LLM Agents In Machine Learning Engineering (2025) • No Venue
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• C2LLM Technical Report: A New Frontier In Code Retrieval Via Adaptive Cross-attention Pooling (2025) • No Venue
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• Lumina-image 2.0: A Unified And Efficient Image Generative Framework (2025) • No Venue
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• Incentivizing Reasoning For Advanced Instruction-following Of Large Language Models (2025) • No Venue
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• Flageval Findings Report: A Preliminary Evaluation Of Large Reasoning Models On Automatically Verifiable Textual And Visual Questions (2025) • No Venue
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• Flash-searcher: Fast And Effective Web Agents Via Dag-based Parallel Execution (2025) • No Venue
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• Bootstrapping World Models From Dynamics Models In Multimodal Foundation Models (2025) • No Venue
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• Evolving Diagnostic Agents In A Virtual Clinical Environment (2025) • No Venue
  Qiu et al.
• Phybench: Holistic Evaluation Of Physical Perception And Reasoning In Large Language Models (2025) • No Venue
  Qiu et al.
• Saffron-1: Towards An Inference Scaling Paradigm For LLM Safety Assurance (2025) • No Venue
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• 3DIS-FLUX: Simple And Efficient Multi-instance Generation With Dit Rendering (2025) • No Venue
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• How Well Does Gpt-4o Understand Vision? Evaluating Multimodal Foundation Models On Standard Computer Vision Tasks (2025) • No Venue
  Ramachandran et al.
• Apriel-1.5-15b-thinker (2025) • No Venue
  Radhakrishna et al.
• An Empirical Study Of Autoregressive Pre-training From Videos (2025) • No Venue
  Rajasegaran et al.
• Videomathqa: Benchmarking Mathematical Reasoning Via Multimodal Understanding In Videos (2025) • No Venue
  Rasheed et al.
• Halogen: Fantastic LLM Hallucinations And Where To Find Them (2025) • No Venue
  Ravichander et al.
• Llm-microscope: Uncovering The Hidden Role Of Punctuation In Context Memory Of Transformers (2025) • No Venue
  Razzhigaev et al.
• Anycap Project: A Unified Framework, Dataset, And Benchmark For Controllable Omni-modal Captioning (2025) • No Venue
  Ren et al.
• Simworld: An Open-ended Realistic Simulator For Autonomous Agents In Physical And Social Worlds (2025) • No Venue
  Ren et al.
• SMMILE: An Expert-driven Benchmark For Multimodal Medical In-context Learning (2025) • No Venue
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• Zerobench: An Impossible Visual Benchmark For Contemporary Large Multimodal Models (2025) • No Venue
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• Benchmarking Llms' Swarm Intelligence (2025) • No Venue
  Ruan et al.
• REFINE-AF: A Task-agnostic Framework To Align Language Models Via Self-generated Instructions Using Reinforcement Learning From Automated Feedback (2025) • No Venue
  Roy et al.
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• AI Agents Vs. Agentic AI: A Conceptual Taxonomy, Applications And Challenge (2025) • No Venue
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• Satori: Reinforcement Learning With Chain-of-action-thought Enhances LLM Reasoning Via Autoregressive Search (2025) • No Venue
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  Linghui Shen, Mingyue Cui, Xingyi Yang
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  Team et al.
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• Evaluation Is All You Need: Strategic Overclaiming Of LLM Reasoning Capabilities Through Evaluation Design (2025) • No Venue
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  Hao Sun, Mihaela van Der Schaar
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  Peng Sun, Yi Jiang, Tao Lin
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  Or Tal, Felix Kreuk, Yossi Adi
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  Jiabin Tang, Tianyu Fan, Chao Huang
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• Lego-puzzles: How Good Are Mllms At Multi-step Spatial Reasoning? (2025) • No Venue
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• Longrm: Revealing And Unlocking The Context Boundary Of Reward Modeling (2025) • No Venue
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• Refcritic: Training Long Chain-of-thought Critic Models With Refinement Feedback (2025) • No Venue
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• Robust-r1: Degradation-aware Reasoning For Robust Visual Understanding (2025) • No Venue
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• Personafeedback: A Large-scale Human-annotated Benchmark For Personalization (2025) • No Venue
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• Turk-lettucedetect: A Hallucination Detection Models For Turkish RAG Applications (2025) • No Venue
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• Kling-omni Technical Report (2025) • No Venue
  Team et al.
• Inferix: A Block-diffusion Based Next-generation Inference Engine For World Simulation (2025) • No Venue
  Team et al.
• INTELLECT-3: Technical Report (2025) • No Venue
  Team et al.
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  Team et al.
• PAN: A World Model For General, Interactable, And Long-horizon World Simulation (2025) • No Venue
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  Team et al.
• Lingshu: A Generalist Foundation Model For Unified Multimodal Medical Understanding And Reasoning (2025) • No Venue
  Team et al.
• Mimo: Unlocking The Reasoning Potential Of Language Model -- From Pretraining To Posttraining (2025) • No Venue
  Team et al.
• Open Multimodal Retrieval-augmented Factual Image Generation (2025) • No Venue
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• Hermes 4 Technical Report (2025) • No Venue
  Teknium et al.
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  Team et al.
• Vidi: Large Multimodal Models For Video Understanding And Editing (2025) • No Venue
  Team et al.
• SWE-EVO: Benchmarking Coding Agents In Long-horizon Software Evolution Scenarios (2025) • No Venue
  Thai et al.
• Preserving Privacy, Increasing Accessibility, And Reducing Cost: An On-device Artificial Intelligence Model For Medical Transcription And Note Generation (2025) • No Venue
  Thomas et al.
• Fixing Data That Hurts Performance: Cascading Llms To Relabel Hard Negatives For Robust Information Retrieval (2025) • No Venue
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• Llamav-o1: Rethinking Step-by-step Visual Reasoning In Llms (2025) • No Venue
  Thawakar et al.
• Webgames: Challenging General-purpose Web-browsing AI Agents (2025) • No Venue
  Thomas et al.
• Envision: Benchmarking Unified Understanding & Generation For Causal World Process Insights (2025) • No Venue
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• Marco-voice Technical Report (2025) • No Venue
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• MMMR: Benchmarking Massive Multi-modal Reasoning Tasks (2025) • No Venue
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• The Jumping Reasoning Curve? Tracking The Evolution Of Reasoning Performance In Gpt-[n] And O-[n] Models On Multimodal Puzzles (2025) • No Venue
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• Interactiveomni: A Unified Omni-modal Model For Audio-visual Multi-turn Dialogue (2025) • No Venue
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• Thinking With Video: Video Generation As A Promising Multimodal Reasoning Paradigm (2025) • No Venue
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• Deepprune: Parallel Scaling Without Inter-trace Redundancy (2025) • No Venue
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• Arch-router: Aligning LLM Routing With Human Preferences (2025) • No Venue
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• SPAR: Scholar Paper Retrieval With Llm-based Agents For Enhanced Academic Search (2025) • No Venue
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• Trainable Dynamic Mask Sparse Attention (2025) • No Venue
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• The Illusion Of Thinking: Understanding The Strengths And Limitations Of Reasoning Models Via The Lens Of Problem Complexity (2025) • No Venue
  Shojaee et al.
• Mathematical Reasoning In Large Language Models: Assessing Logical And Arithmetic Errors Across Wide Numerical Ranges (2025) • No Venue
  Safal Shrestha, Minwu Kim, Keith Ross
• Earthmind: Towards Multi-granular And Multi-sensor Earth Observation With Large Multimodal Models (2025) • No Venue
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• The Leaderboard Illusion (2025) • No Venue
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• Can Language Models Falsify? Evaluating Algorithmic Reasoning With Counterexample Creation (2025) • No Venue
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• Eka-eval : A Comprehensive Evaluation Framework For Large Language Models In Indian Languages (2025) • No Venue
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• When AI Co-scientists Fail: Spot-a Benchmark For Automated Verification Of Scientific Research (2025) • No Venue
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• Linguistic Generalizability Of Test-time Scaling In Mathematical Reasoning (2025) • No Venue
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• Pushing On Multilingual Reasoning Models With Language-mixed Chain-of-thought (2025) • No Venue
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• From Head To Tail: Towards Balanced Representation In Large Vision-language Models Through Adaptive Data Calibration (2025) • No Venue
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• DMM: Building A Versatile Image Generation Model Via Distillation-based Model Merging (2025) • No Venue
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• Prmbench: A Fine-grained And Challenging Benchmark For Process-level Reward Models (2025) • No Venue
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• IFIR: A Comprehensive Benchmark For Evaluating Instruction-following In Expert-domain Information Retrieval (2025) • No Venue
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• Layertracer: Cognitive-aligned Layered SVG Synthesis Via Diffusion Transformer (2025) • No Venue
  Yiren Song, Danze Chen, Mike Zheng Shou
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  Yiren Song, Cheng Liu, Mike Zheng Shou
• Visualpuzzles: Decoupling Multimodal Reasoning Evaluation From Domain Knowledge (2025) • No Venue
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• Seed Diffusion: A Large-scale Diffusion Language Model With High-speed Inference (2025) • No Venue
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• Videonsa: Native Sparse Attention Scales Video Understanding (2025) • No Venue
  Song et al.
• Vf-eval: Evaluating Multimodal Llms For Generating Feedback On AIGC Videos (2025) • No Venue
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• Paperbench: Evaluating Ai's Ability To Replicate AI Research (2025) • No Venue
  Starace et al.
• Iterative Self-training For Code Generation Via Reinforced Re-ranking (2025) • No Venue
  Nikita Sorokin, Ivan Sedykh, Valentin Malykh
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  Soroco et al.
• Debatable Intelligence: Benchmarking LLM Judges Via Debate Speech Evaluation (2025) • No Venue
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• Real-world Gaps In AI Governance Research (2025) • No Venue
  Strauss et al.
• T-pro 2.0: An Efficient Russian Hybrid-reasoning Model And Playground (2025) • No Venue
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• Mem0: Building Production-ready AI Agents With Scalable Long-term Memory (2025) • No Venue
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• Perceptionlm: Open-access Data And Models For Detailed Visual Understanding (2025) • No Venue
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• WEAVE: Unleashing And Benchmarking The In-context Interleaved Comprehension And Generation (2025) • No Venue
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• Metaclip 2: A Worldwide Scaling Recipe (2025) • No Venue
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• Learning From Failures In Multi-attempt Reinforcement Learning (2025) • No Venue
  Stephen Chung, Wenyu Du, Jie Fu
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• Deepresearchgym: A Free, Transparent, And Reproducible Evaluation Sandbox For Deep Research (2025) • No Venue
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• Forget What You Know About Llms Evaluations - Llms Are Like A Chameleon (2025) • No Venue
  Cohen-Inger et al.
• This Time Is Different: An Observability Perspective On Time Series Foundation Models (2025) • No Venue
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• Command A: An Enterprise-ready Large Language Model (2025) • No Venue
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• Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, Or True Temporal Understanding? (2025) • No Venue
  Feng et al.
• The Danger Of Overthinking: Examining The Reasoning-action Dilemma In Agentic Tasks (2025) • No Venue
  Cuadron et al.
• Paddleocr-vl: Boosting Multilingual Document Parsing Via A 0.9B Ultra-compact Vision-language Model (2025) • No Venue
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• One-minute Video Generation With Test-time Training (2025) • No Venue
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• Rynnec: Bringing Mllms Into Embodied World (2025) • No Venue
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• Alphaspace: Enabling Robotic Actions Through Semantic Tokenization And Symbolic Reasoning (2025) • No Venue
  Alan Dao, Dinh Bach Vu, Bui Quang Huy
• DPO Kernels: A Semantically-aware, Kernel-enhanced, And Divergence-rich Paradigm For Direct Preference Optimization (2025) • No Venue
  Das et al.
• Left|,circlearrowright,text{bus},right|: A Large And Diverse Multimodal Benchmark For Evaluating The Ability Of Vision-language Models To Understand Rebus Puzzles (2025) • No Venue
  Das et al.
• MV-RAG: Retrieval Augmented Multiview Diffusion (2025) • No Venue
  Yosef Dayani, Omer Benishu, Sagie Benaim
• Self-improvement In Multimodal Large Language Models: A Survey (2025) • No Venue
  Deng et al.
• Duoguard: A Two-player Rl-driven Framework For Multilingual LLM Guardrails (2025) • No Venue
  Deng et al.
• CINEMA: Coherent Multi-subject Video Generation Via Mllm-based Guidance (2025) • No Venue
  Deng et al.
• Interactcomp: Evaluating Search Agents With Ambiguous Queries (2025) • No Venue
  Deng et al.
• MAGREF: Masked Guidance For Any-reference Video Generation (2025) • No Venue
  Deng et al.
• Swe-bench Pro: Can AI Agents Solve Long-horizon Software Engineering Tasks? (2025) • No Venue
  Deng et al.
• Visual Chronicles: Using Multimodal Llms To Analyze Massive Collections Of Images (2025) • No Venue
  Deng et al.
• Evev2: Improved Baselines For Encoder-free Vision-language Models (2025) • No Venue
  Diao et al.
• Story2board: A Training-free Approach For Expressive Storyboard Generation (2025) • No Venue
  Dinkevich et al.
• Kling-avatar: Grounding Multimodal Instructions For Cascaded Long-duration Avatar Animation Synthesis (2025) • No Venue
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• Mm-ifengine: Towards Multimodal Instruction Following (2025) • No Venue
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• Nl2repo-bench: Towards Long-horizon Repository Generation Evaluation Of Coding Agents (2025) • No Venue
  Ding et al.
• Statistical Methods In Generative AI (2025) • No Venue
  Edgar Dobriban
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  Dong et al.
• Finch: Benchmarking Finance & Accounting Across Spreadsheet-centric Enterprise Workflows (2025) • No Venue
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• Mmdocir: Benchmarking Multi-modal Retrieval For Long Documents (2025) • No Venue
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• Mmtok: Multimodal Coverage Maximization For Efficient Inference Of Vlms (2025) • No Venue
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• Automating Benchmark Design (2025) • No Venue
  Dsouza et al.
• Sailor2: Sailing In South-east Asia With Inclusive Multilingual Llms (2025) • No Venue
  Dou et al.
• SONAR-LLM: Autoregressive Transformer That Thinks In Sentence Embeddings And Speaks In Tokens (2025) • No Venue
  Dragunov et al.
• Deepresearch Bench: A Comprehensive Benchmark For Deep Research Agents (2025) • No Venue
  Du et al.
• Unimmvsr: A Unified Multi-modal Framework For Cascaded Video Super-resolution (2025) • No Venue
  Du et al.
• Democratizing Diplomacy: A Harness For Evaluating Any Large Language Model On Full-press Diplomacy (2025) • No Venue
  Duffy et al.
• Bridging The Gap Between Promise And Performance For Microscaling FP4 Quantization (2025) • No Venue
  Egiazarian et al.
• Rexbench: Can Coding Agents Autonomously Implement AI Research Extensions? (2025) • No Venue
  Edwards et al.
• Time To Talk: LLM Agents For Asynchronous Group Communication In Mafia Games (2025) • No Venue
  Niv Eckhaus, Uri Berger, Gabriel Stanovsky
• Evaluating Podcast Recommendations With Profile-aware Llm-as-a-judge (2025) • No Venue
  Fabbri et al.
• MMTEB: Massive Multilingual Text Embedding Benchmark (2025) • No Venue
  Enevoldsen et al.
• Turkcolbert: A Benchmark Of Dense And Late-interaction Models For Turkish Information Retrieval (2025) • No Venue
  Ezerceli et al.
• Are We On The Right Way To Assessing Llm-as-a-judge? (2025) • No Venue
  Feng et al.
• SSRL: Self-search Reinforcement Learning (2025) • No Venue
  Fan et al.
• GRIT: Teaching Mllms To Think With Images (2025) • No Venue
  Fan et al.
• Megascience: Pushing The Frontiers Of Post-training Datasets For Science Reasoning (2025) • No Venue
  Run-Ze Fan, Zengzhi Wang, Pengfei Liu
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  Fan et al.
• V-REX: Benchmarking Exploratory Visual Reasoning Via Chain-of-questions (2025) • No Venue
  Fan et al.
• Memp: Exploring Agent Procedural Memory (2025) • No Venue
  Fang et al.
• Creation-mmbench: Assessing Context-aware Creative Intelligence In MLLM (2025) • No Venue
  Fang et al.
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  Fang et al.
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  Fang et al.
• Llama-omni2: Llm-based Real-time Spoken Chatbot With Autoregressive Streaming Speech Synthesis (2025) • No Venue
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• Dualvla: Building A Generalizable Embodied Agent Via Partial Decoupling Of Reasoning And Action (2025) • No Venue
  Fang et al.
• Flux-reason-6m & Prism-bench: A Million-scale Text-to-image Reasoning Dataset And Comprehensive Benchmark (2025) • No Venue
  Fang et al.
• Meshllm: Empowering Large Language Models To Progressively Understand And Generate 3D Mesh (2025) • No Venue
  Fang et al.
• Nerf Is A Valuable Assistant For 3D Gaussian Splatting (2025) • No Venue
  Fang et al.
• Libero-plus: In-depth Robustness Analysis Of Vision-language-action Models (2025) • No Venue
  Fei et al.
• On Path To Multimodal Generalist: General-level And General-bench (2025) • No Venue
  Fei et al.
• SRPO: Self-referential Policy Optimization For Vision-language-action Models (2025) • No Venue
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  Hu et al.
• Text2world: Benchmarking Large Language Models For Symbolic World Model Generation (2025) • No Venue
  Hu et al.
• Multimodal Rewardbench 2: Evaluating Omni Reward Models For Interleaved Text And Image (2025) • No Venue
  Hu et al.
• REINFORCE++: A Simple And Efficient Approach For Aligning Large Language Models (2025) • No Venue
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• ILLUME+: Illuminating Unified MLLM With Dual Visual Tokenization And Diffusion Refinement (2025) • No Venue
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  Lei et al.
• IMAGINE-E: Image Generation Intelligence Evaluation Of State-of-the-art Text-to-image Models (2025) • No Venue
  Lei et al.
• Infantagent-next: A Multimodal Generalist Agent For Automated Computer Interaction (2025) • No Venue
  Lei et al.
• Intellagent: A Multi-agent Framework For Evaluating Conversational AI Systems (2025) • No Venue
  Elad Levi, Ilan Kadar
• Bindweave: Subject-consistent Video Generation Via Cross-modal Integration (2025) • No Venue
  Li et al.
• Audiotrust: Benchmarking The Multifaceted Trustworthiness Of Audio Large Language Models (2025) • No Venue
  Li et al.
• Advances In Speech Separation: Techniques, Challenges, And Future Trends (2025) • No Venue
  Li et al.
• Autotriton: Automatic Triton Programming With Reinforcement Learning In Llms (2025) • No Venue
  Li et al.
• Cipherbank: Exploring The Boundary Of LLM Reasoning Capabilities Through Cryptography Challenges (2025) • No Venue
  Li et al.
• Chain-of-agents: End-to-end Agent Foundation Models Via Multi-agent Distillation And Agentic RL (2025) • No Venue
  Li et al.
• Visual-cog: Stage-aware Reinforcement Learning With Chain Of Guidance For Text-to-image Generation (2025) • No Venue
  Li et al.
• Sculptor: Empowering Llms With Cognitive Agency Via Active Context Management (2025) • No Venue
  Li et al.
• Miromind-m1: An Open-source Advancement In Mathematical Reasoning Via Context-aware Multi-stage Policy Optimization (2025) • No Venue
  Li et al.
• Drafterbench: Benchmarking Large Language Models For Tasks Automation In Civil Engineering (2025) • No Venue
  Yinsheng Li, Zhen Dong, Yi Shao
• CRINN: Contrastive Reinforcement Learning For Approximate Nearest Neighbor Search (2025) • No Venue
  Li et al.
• Diffusion Language Models Know The Answer Before Decoding (2025) • No Venue
  Li et al.
• Deepcode: Open Agentic Coding (2025) • No Venue
  Li et al.
• Fea-bench: A Benchmark For Evaluating Repository-level Code Generation For Feature Implementation (2025) • No Venue
  Li et al.
• Dualthor: A Dual-arm Humanoid Simulation Platform For Contingency-aware Planning (2025) • No Venue
  Li et al.
• How Instruction And Reasoning Data Shape Post-training: Data Quality Through The Lens Of Layer-wise Gradients (2025) • No Venue
  Li et al.
• Groundingme: Exposing The Visual Grounding Gap In Mllms Through Multi-dimensional Evaluation (2025) • No Venue
  Li et al.
• Gir-bench: Versatile Benchmark For Generating Images With Reasoning (2025) • No Venue
  Li et al.
• GRAN-TED: Generating Robust, Aligned, And Nuanced Text Embedding For Diffusion Models (2025) • No Venue
  Li et al.
• Have We Unified Image Generation And Understanding Yet? An Empirical Study Of Gpt-4o's Image Generation Ability (2025) • No Venue
  Ning Li, Jingran Zhang, Justin Cui
• If-vidcap: Can Video Caption Models Follow Instructions? (2025) • No Venue
  Li et al.
• IA-T2I: Internet-augmented Text-to-image Generation (2025) • No Venue
  Li et al.
• Migician: Revealing The Magic Of Free-form Multi-image Grounding In Multimodal Large Language Models (2025) • No Venue
  Li et al.
• Memory-efficient Visual Autoregressive Modeling With Scale-aware KV Cache Compression (2025) • No Venue
  Li et al.
• MANZANO: A Simple And Scalable Unified Multimodal Model With A Hybrid Vision Tokenizer (2025) • No Venue
  Li et al.
• Mm-browsecomp: A Comprehensive Benchmark For Multimodal Browsing Agents (2025) • No Venue
  Li et al.
• MITS: Enhanced Tree Search Reasoning For Llms Via Pointwise Mutual Information (2025) • No Venue
  Li et al.
• Omnivideobench: Towards Audio-visual Understanding Evaluation For Omni Mllms (2025) • No Venue
  Li et al.
• Preference Leakage: A Contamination Problem In Llm-as-a-judge (2025) • No Venue
  Li et al.
• Ovo-bench: How Far Is Your Video-llms From Real-world Online Video Understanding? (2025) • No Venue
  Li et al.
• Reportbench: Evaluating Deep Research Agents Via Academic Survey Tasks (2025) • No Venue
  Li et al.
• Reinforcement Learning On Pre-training Data (2025) • No Venue
  Li et al.
• Routing Manifold Alignment Improves Generalization Of Mixture-of-experts Llms (2025) • No Venue
  Zhongyang Li, Ziyue Li, Tianyi Zhou
• Viewspatial-bench: Evaluating Multi-perspective Spatial Localization In Vision-language Models (2025) • No Venue
  Li et al.
• Tir-bench: A Comprehensive Benchmark For Agentic Thinking-with-images Reasoning (2025) • No Venue
  Li et al.
• STAR-R1: Spatial Transformation Reasoning By Reinforcing Multimodal Llms (2025) • No Venue
  Li et al.
• Semantically-aware Rewards For Open-ended R1 Training In Free-form Generation (2025) • No Venue
  Li et al.
• Slimmoe: Structured Compression Of Large Moe Models Via Expert Slimming And Distillation (2025) • No Venue
  Li et al.
• Skyra: Ai-generated Video Detection Via Grounded Artifact Reasoning (2025) • No Venue
  Li et al.
• Sos1: O1 And R1-like Reasoning Llms Are Sum-of-square Solvers (2025) • No Venue
  Li et al.
• Speculative Ad-hoc Querying (2025) • No Venue
  Li et al.
• Test-time Preference Optimization: On-the-fly Alignment Via Iterative Textual Feedback (2025) • No Venue
  Li et al.
• Structflowbench: A Structured Flow Benchmark For Multi-turn Instruction Following (2025) • No Venue
  Li et al.
• Swarmsys: Decentralized Swarm-inspired Agents For Scalable And Adaptive Reasoning (2025) • No Venue
  Li et al.
• Tempsamp-r1: Effective Temporal Sampling With Reinforcement Fine-tuning For Video Llms (2025) • No Venue
  Li et al.
• Uni-moe-2.0-omni: Scaling Language-centric Omnimodal Large Model With Advanced Moe, Training And Data (2025) • No Venue
  Li et al.
• Towards Visual Text Grounding Of Multimodal Large Language Model (2025) • No Venue
  Li et al.
• Unfolding Spatial Cognition: Evaluating Multimodal Models On Visual Simulations (2025) • No Venue
  Li et al.
• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
  Zhou et al.
• Μ^2tokenizer: Differentiable Multi-scale Multi-modal Tokenizer For Radiology Report Generation (2025) • No Venue
  Li et al.
• Zebra-cot: A Dataset For Interleaved Vision Language Reasoning (2025) • No Venue
  Li et al.
• Who's Your Judge? On The Detectability Of Llm-generated Judgments (2025) • No Venue
  Li et al.
• A.S.E: A Repository-level Benchmark For Evaluating Security In Ai-generated Code (2025) • No Venue
  Lian et al.
• AI Meets Brain: Memory Systems From Cognitive Neuroscience To Autonomous Agents (2025) • No Venue
  Liang et al.
• Discrete Diffusion VLA: Bringing Discrete Diffusion To Action Decoding In Vision-language-action Policies (2025) • No Venue
  Liang et al.
• Colorbench: Can Vlms See And Understand The Colorful World? A Comprehensive Benchmark For Color Perception, Reasoning, And Robustness (2025) • No Venue
  Liang et al.
• CLUE: Non-parametric Verification From Experience Via Hidden-state Clustering (2025) • No Venue
  Liang et al.
• Machine Bullshit: Characterizing The Emergent Disregard For Truth In Large Language Models (2025) • No Venue
  Liang et al.
• Surveyx: Academic Survey Automation Via Large Language Models (2025) • No Venue
  Liang et al.
• Saferag: Benchmarking Security In Retrieval-augmented Generation Of Large Language Model (2025) • No Venue
  Liang et al.
• RLHS: Mitigating Misalignment In RLHF With Hindsight Simulation (2025) • No Venue
  Liang et al.
• ROVER: Benchmarking Reciprocal Cross-modal Reasoning For Omnimodal Generation (2025) • No Venue
  Liang et al.
• Are We Using The Right Benchmark: An Evaluation Framework For Visual Token Compression Methods (2025) • No Venue
  Liao et al.
• Towards Personalized Deep Research: Benchmarks And Evaluations (2025) • No Venue
  Liang et al.
• Reward-guided Speculative Decoding For Efficient LLM Reasoning (2025) • No Venue
  Liao et al.
• Uniworld: High-resolution Semantic Encoders For Unified Visual Understanding And Generation (2025) • No Venue
  Lin et al.
• Computer-use Agents As Judges For Generative User Interface (2025) • No Venue
  Lin et al.
• Autoregressive Adversarial Post-training For Real-time Interactive Video Generation (2025) • No Venue
  Lin et al.
• Exploring Mllm-diffusion Information Transfer With Metacanvas (2025) • No Venue
  Lin et al.
• Generative Evaluation Of Complex Reasoning In Large Language Models (2025) • No Venue
  Lin et al.
• Ost-bench: Evaluating The Capabilities Of Mllms In Online Spatio-temporal Scene Understanding (2025) • No Venue
  Lin et al.
• Towards Understanding Camera Motions In Any Video (2025) • No Venue
  Lin et al.
• Quantization Meets Dllms: A Systematic Study Of Post-training Quantization For Diffusion Llms (2025) • No Venue
  Lin et al.
• Step-kto: Optimizing Mathematical Reasoning Through Stepwise Binary Feedback (2025) • No Venue
  Lin et al.
• Vcode: A Multimodal Coding Benchmark With SVG As Symbolic Visual Representation (2025) • No Venue
  Lin et al.
• Zebralogic: On The Scaling Limits Of Llms For Logical Reasoning (2025) • No Venue
  Lin et al.
• Wildifeval: Instruction Following In The Wild (2025) • No Venue
  Lior et al.
• Deciphering Trajectory-aided LLM Reasoning: An Optimization Perspective (2025) • No Venue
  Liu et al.
• Can World Simulators Reason? Gen-vire: A Generative Visual Reasoning Benchmark (2025) • No Venue
  Liu et al.
• ATLAS: A High-difficulty, Multidisciplinary Benchmark For Frontier Scientific Reasoning (2025) • No Venue
  Liu et al.
• Advances And Challenges In Foundation Agents: From Brain-inspired Intelligence To Evolutionary, Collaborative, And Safe Systems (2025) • No Venue
  Liu et al.
• Agent0-vl: Exploring Self-evolving Agent For Tool-integrated Vision-language Reasoning (2025) • No Venue
  Liu et al.
• Fone: Precise Single-token Number Embeddings Via Fourier Features (2025) • No Venue
  Zhou et al.
• Infecting Generative AI With Viruses (2025) • No Venue
  David Noever, Forrest McKee
• Does Understanding Inform Generation In Unified Multimodal Models? From Analysis To Path Forward (2025) • No Venue
  Niu et al.
• Learning To Reason In 4D: Dynamic Spatial Understanding For Vision Language Models (2025) • No Venue
  Zhou et al.
• Viscoder2: Building Multi-language Visualization Coding Agents (2025) • No Venue
  Ni et al.
• Can Large Language Models Capture Human Annotator Disagreements? (2025) • No Venue
  Ni et al.
• A Survey On Large Language Model Benchmarks (2025) • No Venue
  Ni et al.
• Annotation-efficient Universal Honesty Alignment (2025) • No Venue
  Ni et al.
• UQ: Assessing Language Models On Unsolved Questions (2025) • No Venue
  Nie et al.
• Viscoder: Fine-tuning Llms For Executable Python Visualization Code Generation (2025) • No Venue
  Ni et al.
• Diffusion Language Models Are Super Data Learners (2025) • No Venue
  Ni et al.
• Drax: Speech Recognition With Discrete Flow Matching (2025) • No Venue
  Navon et al.
• Effective Red-teaming Of Policy-adherent Agents (2025) • No Venue
  Nakash et al.
• Mlgym: A New Framework And Benchmark For Advancing AI Research Agents (2025) • No Venue
  Nathani et al.
• The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks And Prompt Injections (2025) • No Venue
  Nasr et al.
• A Unified Framework For Detecting Point And Collective Anomalies In Operating System Logs Via Collaborative Transformers (2025) • No Venue
  Mohammad Nasirzadeh, Jafar Tahmoresnezhad, Parviz Rashidi-Khazaee
• Oneflow: Concurrent Mixed-modal And Interleaved Generation With Edit Flows (2025) • No Venue
  Nguyen et al.
• Lizard: An Efficient Linearization Framework For Large Language Models (2025) • No Venue
  Nguyen et al.
• The Sparse Frontier: Sparse Attention Trade-offs In Transformer Llms (2025) • No Venue
  Nawrot et al.
• Synthdetoxm: Modern Llms Are Few-shot Parallel Detoxification Data Annotators (2025) • No Venue
  Moskovskiy et al.
• Vlm2vec-v2: Advancing Multimodal Embedding For Videos, Images, And Visual Documents (2025) • No Venue
  Meng et al.
• Viplan: A Benchmark For Visual Planning With Symbolic Predicates And Vision-language Models (2025) • No Venue
  Merler et al.
• Nablanabla: Neighborhood Adaptive Block-level Attention (2025) • No Venue
  Mikhailov et al.
• Paper2agent: Reimagining Research Papers As Interactive And Reliable AI Agents (2025) • No Venue
  Miao et al.
• Mergenetic: A Simple Evolutionary Model Merging Library (2025) • No Venue
  Minut et al.
• Swe-lancer: Can Frontier Llms Earn $1 Million From Real-world Freelance Software Engineering? (2025) • No Venue
  Miserendino et al.
• Search Arena: Analyzing Search-augmented Llms (2025) • No Venue
  Miroyan et al.
• Livemcpbench: Can Agents Navigate An Ocean Of MCP Tools? (2025) • No Venue
  Mo et al.
• Webchorearena: Evaluating Web Browsing Agents On Realistic Tedious Web Tasks (2025) • No Venue
  Miyai et al.
• Is Multilingual LLM Watermarking Truly Multilingual? A Simple Back-translation Solution (2025) • No Venue
  Asim Mohamed, Martin Gubri
• Nolima: Long-context Evaluation Beyond Literal Matching (2025) • No Venue
  Modarressi et al.
• M3-bench: Multi-modal, Multi-hop, Multi-threaded Tool-using MLLM Agent Benchmark (2025) • No Venue
  Zhou et al.
• TF1-EN-3M: Three Million Synthetic Moral Fables For Training Small, Open Language Models (2025) • No Venue
  Nadas et al.
• Wildscore: Benchmarking Mllms In-the-wild Symbolic Music Reasoning (2025) • No Venue
  Mundada et al.
• Dragflow: Unleashing Dit Priors With Region Based Supervision For Drag Editing (2025) • No Venue
  Zhou et al.
• Do Generative Video Models Learn Physical Principles From Watching Videos? (2025) • No Venue
  Motamed et al.
• Do I Look Like A `cat.n.01` To You? A Taxonomy Image Generation Benchmark (2025) • No Venue
  Moskvoretskii et al.
• Instructx: Towards Unified Visual Editing With MLLM Guidance (2025) • No Venue
  Mou et al.
• Lost In The Mix: Evaluating LLM Understanding Of Code-switched Text (2025) • No Venue
  Mohamed et al.
• Scientists' First Exam: Probing Cognitive Abilities Of MLLM Via Perception, Understanding, And Reasoning (2025) • No Venue
  Zhou et al.
• Scaling Zero-shot Reference-to-video Generation (2025) • No Venue
  Zhou et al.
• SWEET-RL: Training Multi-turn LLM Agents On Collaborative Reasoning Tasks (2025) • No Venue
  Zhou et al.
• Omniworld: A Multi-domain And Multi-modal Dataset For 4D World Modeling (2025) • No Venue
  Zhou et al.
• X-reasoner: Towards Generalizable Reasoning Across Modalities And Domains (2025) • No Venue
  Liu et al.
• Webcoach: Self-evolving Web Agents With Cross-session Memory Guidance (2025) • No Venue
  Liu et al.
• What Makes A Good Natural Language Prompt? (2025) • No Venue
  Long et al.
• Bizfinbench: A Business-driven Real-world Financial Benchmark For Evaluating Llms (2025) • No Venue
  Lu et al.
• Finmme: Benchmark Dataset For Financial Multi-modal Reasoning Evaluation (2025) • No Venue
  Luo et al.
• Self-challenging Language Model Agents (2025) • No Venue
  Zhou et al.
• Terminal Velocity Matching (2025) • No Venue
  Zhou et al.
• ATLAS: Adaptive Transfer Scaling Laws For Multilingual Pretraining, Finetuning, And Decoding The Curse Of Multilinguality (2025) • No Venue
  Longpre et al.
• Av-reasoner: Improving And Benchmarking Clue-grounded Audio-visual Counting For Mllms (2025) • No Venue
  Lu et al.
• Roborefer: Towards Spatial Referring With Reasoning In Vision-language Models For Robotics (2025) • No Venue
  Zhou et al.
• Easytext: Controllable Diffusion Transformer For Multilingual Text Rendering (2025) • No Venue
  Lu et al.
• Octotools: An Agentic Framework With Extensible Tools For Complex Reasoning (2025) • No Venue
  Lu et al.
• UI-S1: Advancing GUI Automation Via Semi-online Reinforcement Learning (2025) • No Venue
  Lu et al.
• R-horizon: How Far Can Your Large Reasoning Model Really Go In Breadth And Depth? (2025) • No Venue
  Lu et al.
• Youtu-llm: Unlocking The Native Agentic Potential For Lightweight Large Language Models (2025) • No Venue
  Lu et al.
• Dreamactor-m1: Holistic, Expressive And Robust Human Image Animation With Hybrid Guidance (2025) • No Venue
  Luo et al.
• Autellix: An Efficient Serving Engine For LLM Agents As General Programs (2025) • No Venue
  Luo et al.
• Reinforcing General Reasoning Without Verifiers (2025) • No Venue
  Zhou et al.
• Large Language Model Agent: A Survey On Methodology, Applications And Challenges (2025) • No Venue
  Luo et al.
• Mcp-universe: Benchmarking Large Language Models With Real-world Model Context Protocol Servers (2025) • No Venue
  Luo et al.
• Openomni: Large Language Models Pivot Zero-shot Omnimodal Alignment Across Language With Real-time Self-aware Emotional Speech Synthesis (2025) • No Venue
  Luo et al.
• Ultrahorizon: Benchmarking Agent Capabilities In Ultra Long-horizon Scenarios (2025) • No Venue
  Luo et al.
• Autonomy-of-experts Models (2025) • No Venue
  Lv et al.
• F1: A Vision-language-action Model Bridging Understanding And Generation To Actions (2025) • No Venue
  Lv et al.
• Agentrewardbench: Evaluating Automatic Evaluations Of Web Agent Trajectories (2025) • No Venue
  Lù et al.
• Pixelworld: Towards Perceiving Everything As Pixels (2025) • No Venue
  Zhiheng Lyu, Xueguang Ma, Wenhu Chen
• Rethinking Verification For LLM Code Generation: From Generation To Testing (2025) • No Venue
  Ma et al.
• Language Models Can Self-improve At State-value Estimation For Better Search (2025) • No Venue
  Ethan Mendes, Alan Ritter
• Hard Negative Mining For Domain-specific Retrieval In Enterprise Systems (2025) • No Venue
  Meghwani et al.
• Spatiallm: Training Large Language Models For Structured Indoor Modeling (2025) • No Venue
  Mao et al.
• Chartqapro: A More Diverse And Challenging Benchmark For Chart Question Answering (2025) • No Venue
  Masry et al.
• C3: A Bilingual Benchmark For Spoken Dialogue Models Exploring Challenges In Complex Conversations (2025) • No Venue
  Chengqian Ma, Wei Tao, Yiwen Guo
• Calligrapher: Freestyle Text Image Customization (2025) • No Venue
  Ma et al.
• Cmi-bench: A Comprehensive Benchmark For Evaluating Music Instruction Following (2025) • No Venue
  Ma et al.
• Dover: Intervention-driven Auto Debugging For LLM Multi-agent Systems (2025) • No Venue
  Ma et al.
• Deliberation On Priors: Trustworthy Reasoning Of Large Language Models On Knowledge Graphs (2025) • No Venue
  Ma et al.
• Dramabench: A Six-dimensional Evaluation Framework For Drama Script Continuation (2025) • No Venue
  Shijian Ma, Yunqi Huang, Yan Lin
• Reasoning Models Can Be Effective Without Thinking (2025) • No Venue
  Ma et al.
• Iv-bench: A Benchmark For Image-grounded Video Perception And Reasoning In Multimodal Llms (2025) • No Venue
  Ma et al.
• Hpsv3: Towards Wide-spectrum Human Preference Score (2025) • No Venue
  Ma et al.
• General-reasoner: Advancing LLM Reasoning Across All Domains (2025) • No Venue
  Ma et al.
• Inference-time Scaling For Diffusion Models Beyond Scaling Denoising Steps (2025) • No Venue
  Ma et al.
• Generative Neural Video Compression Via Video Diffusion Prior (2025) • No Venue
  Mao et al.
• LUSIFER: Language Universal Space Integration For Enhanced Multilingual Embeddings With Large Language Models (2025) • No Venue
  Man et al.
• Emergenttts-eval: Evaluating TTS Models On Complex Prosodic, Expressiveness, And Linguistic Challenges Using Model-as-a-judge (2025) • No Venue
  Manku et al.
• Datadecide: How To Predict Best Pretraining Data With Small Experiments (2025) • No Venue
  Magnusson et al.
• Scaling Analysis Of Interleaved Speech-text Language Models (2025) • No Venue
  Maimon et al.
• Kolmogorov-arnold Attention: Is Learnable Attention Better For Vision Transformers? (2025) • No Venue
  Maity et al.
• Beyondweb: Lessons From Scaling Synthetic Data For Trillion-scale Pretraining (2025) • No Venue
  Maini et al.
• Sarchat-bench-2m: A Multi-task Vision-language Benchmark For SAR Image Interpretation (2025) • No Venue
  Ma et al.
• Step-video-t2v Technical Report: The Practice, Challenges, And Future Of Video Foundation Model (2025) • No Venue
  Ma et al.
• Teleantifraud-28k: A Audio-text Slow-thinking Dataset For Telecom Fraud Detection (2025) • No Venue
  Ma et al.
• Token-shuffle: Towards High-resolution Image Generation With Autoregressive Models (2025) • No Venue
  Ma et al.
• Videoeval-pro: Robust And Realistic Long Video Understanding Evaluation (2025) • No Venue
  Ma et al.
• Compassverifier: A Unified And Robust Verifier For Llms Evaluation And Outcome Reward (2025) • No Venue
  Liu et al.
• CCI4.0: A Bilingual Pretraining Dataset For Enhancing Reasoning In Large Language Models (2025) • No Venue
  Liu et al.
• Costbench: Evaluating Multi-turn Cost-optimal Planning And Adaptation In Dynamic Environments For LLM Tool-use Agents (2025) • No Venue
  Liu et al.
• Fin-r1: A Large Language Model For Financial Reasoning Through Reinforcement Learning (2025) • No Venue
  Liu et al.
• Does Dinov3 Set A New Medical Vision Standard? (2025) • No Venue
  Liu et al.
• Docreward: A Document Reward Model For Structuring And Stylizing (2025) • No Venue
  Liu et al.
• Gear: Generation Augmented Retrieval (2025) • No Venue
  Liu et al.
• GEM: A Gym For Agentic Llms (2025) • No Venue
  Liu et al.
• Javisdit: Joint Audio-video Diffusion Transformer With Hierarchical Spatio-temporal Prior Synchronization (2025) • No Venue
  Liu et al.
• Pc-agent: A Hierarchical Multi-agent Collaboration Framework For Complex Task Automation On PC (2025) • No Venue
  Liu et al.
• METAGENE-1: Metagenomic Foundation Model For Pandemic Monitoring (2025) • No Venue
  Liu et al.
• Longllada: Unlocking Long Context Capabilities In Diffusion Llms (2025) • No Venue
  Liu et al.
• Metafaith: Faithful Natural Language Uncertainty Expression In Llms (2025) • No Venue
  Liu et al.
• Mcpeval: Automatic Mcp-based Deep Evaluation For AI Agent Models (2025) • No Venue
  Liu et al.
• MOSAIC: Modeling Social AI For Content Dissemination And Regulation In Multi-agent Simulations (2025) • No Venue
  Liu et al.
• Mixture Of States: Routing Token-level Dynamics For Multimodal Generation (2025) • No Venue
  Liu et al.
• More Thinking, Less Seeing? Assessing Amplified Hallucination In Multimodal Reasoning Models (2025) • No Venue
  Liu et al.
• Part I: Tricks Or Traps? A Deep Dive Into RL For LLM Reasoning (2025) • No Venue
  Liu et al.
• Openrubrics: Towards Scalable Synthetic Rubric Generation For Reward Modeling And LLM Alignment (2025) • No Venue
  Liu et al.
• Othink-mr1: Stimulating Multimodal Generalized Reasoning Capabilities Via Dynamic Reinforcement Learning (2025) • No Venue
  Liu et al.
• Region-adaptive Sampling For Diffusion Transformers (2025) • No Venue
  Liu et al.
• Prorl: Prolonged Reinforcement Learning Expands Reasoning Boundaries In Large Language Models (2025) • No Venue
  Liu et al.
• Quantization Hurts Reasoning? An Empirical Study On Quantized Reasoning Models (2025) • No Venue
  Liu et al.
• Researchbench: Benchmarking Llms In Scientific Discovery Via Inspiration-based Task Decomposition (2025) • No Venue
  Liu et al.
• Skywork-reward-v2: Scaling Preference Data Curation Via Human-ai Synergy (2025) • No Venue
  Liu et al.
• Showtable: Unlocking Creative Table Visualization With Collaborative Reflection And Refinement (2025) • No Venue
  Liu et al.
• Shotbench: Expert-level Cinematic Understanding In Vision-language Models (2025) • No Venue
  Liu et al.
• SPARK: Synergistic Policy And Reward Co-evolving Framework (2025) • No Venue
  Liu et al.
• Step1x-edit: A Practical Framework For General Image Editing (2025) • No Venue
  Liu et al.
• SSR: Enhancing Depth Perception In Vision-language Models Via Rationale-guided Spatial Reasoning (2025) • No Venue
  Liu et al.
• Star-bench: Probing Deep Spatio-temporal Reasoning As Audio 4D Intelligence (2025) • No Venue
  Liu et al.
• The Gold Medals In An Empty Room: Diagnosing Metalinguistic Reasoning In Llms With Camlang (2025) • No Venue
  Liu et al.
• Thus Spake Long-context Large Language Model (2025) • No Venue
  Liu et al.
• Video-t1: Test-time Scaling For Video Generation (2025) • No Venue
  Liu et al.
• A Survey Of Small Language Models (2024) • No Venue
  Nguyen et al.
• Marco-llm: Bridging Languages Via Massive Multilingual Training For Cross-lingual Enhancement (2024) • No Venue
  Ming et al.
• Hybrid Preferences: Learning To Route Instances For Human Vs. AI Feedback (2024) • No Venue
  Miranda et al.
• Medfuzz: Exploring The Robustness Of Large Language Models In Medical Question Answering (2024) • No Venue
  Ness et al.
• Compact Language Models Via Pruning And Knowledge Distillation (2024) • No Venue
  Muralidharan et al.
• MMIU: Multimodal Multi-image Understanding For Evaluating Large Vision-language Models (2024) • No Venue
  Meng et al.
• Bimedix2: Bio-medical Expert LMM For Diverse Medical Modalities (2024) • No Venue
  Mullappilly et al.
• Sit: Exploring Flow And Diffusion-based Generative Models With Scalable Interpolant Transformers (2024) • No Venue
  Ma et al.
• Videoautoarena: An Automated Arena For Evaluating Large Multimodal Models In Video Analysis Through User Simulation (2024) • No Venue
  Luo et al.
• Oneke: A Dockerized Schema-guided LLM Agent-based Knowledge Extraction System (2024) • No Venue
  Luo et al.
• Agentinstruct: Toward Generative Teaching With Agentic Flows (2024) • No Venue
  Mitra et al.
• Unsolvable Problem Detection: Evaluating Trustworthiness Of Vision Language Models (2024) • No Venue
  Miyai et al.
• DITTO-2: Distilled Diffusion Inference-time T-optimization For Music Generation (2024) • No Venue
  Novack et al.
• Addition Is All You Need For Energy-efficient Language Models (2024) • No Venue
  Hongyin Luo, Wei Sun
• Dreammatcher: Appearance Matching Self-attention For Semantically-consistent Text-to-image Personalization (2024) • No Venue
  Nam et al.
• Repliqa: A Question-answering Dataset For Benchmarking Llms On Unseen Reference Content (2024) • No Venue
  Monteiro et al.
• Yesbut: A High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models (2024) • No Venue
  Nandy et al.
• Aurora-m: The First Open Source Multilingual Language Model Red-teamed According To The U.S. Executive Order (2024) • No Venue
  Nakamura et al.
• ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning (2024) • No Venue
  Mower et al.
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  Nahum et al.
• AAAR-1.0: Assessing Ai's Potential To Assist Research (2024) • No Venue
  Lou et al.
• Grouse: A Benchmark To Evaluate Evaluators In Grounded Question Answering (2024) • No Venue
  Muller et al.
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  Lovenia et al.
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  Mullick et al.
• Wildvision: Evaluating Vision-language Models In The Wild With Human Preferences (2024) • No Venue
  Lu et al.
• Toolsandbox: A Stateful, Conversational, Interactive Evaluation Benchmark For LLM Tool Use Capabilities (2024) • No Venue
  Lu et al.
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  Lu et al.
• Large Language Models Are Superpositions Of All Characters: Attaining Arbitrary Role-play Via Self-alignment (2024) • No Venue
  Lu et al.
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  Lu et al.
• Blending Is All You Need: Cheaper, Better Alternative To Trillion-parameters LLM (2024) • No Venue
  Lu et al.
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  Lu et al.
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  Lu et al.
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  Motwani et al.
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  Qin et al.
• Law Of Vision Representation In Mllms (2024) • No Venue
  Yang et al.
• Osworld: Benchmarking Multimodal Agents For Open-ended Tasks In Real Computer Environments (2024) • No Venue
  Xie et al.
• Omniedit: Building Image Editing Generalist Models Through Specialist Supervision (2024) • No Venue
  Wei et al.
• Audio Flamingo: A Novel Audio Language Model With Few-shot Learning And Dialogue Abilities (2024) • No Venue
  Kong et al.
• Thanos: Enhancing Conversational Agents With Skill-of-mind-infused Large Language Model (2024) • No Venue
  Lee et al.
• Urbench: A Comprehensive Benchmark For Evaluating Large Multimodal Models In Multi-view Urban Scenarios (2024) • No Venue
  Zhou et al.
• Hellobench: Evaluating Long Text Generation Capabilities Of Large Language Models (2024) • No Venue
  Que et al.
• Semantic Entropy Probes: Robust And Cheap Hallucination Detection In Llms (2024) • No Venue
  Kossen et al.
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  Quan et al.
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  Kramár et al.
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  Krishna et al.
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  Yang et al.
• Open-finllms: Open Multimodal Large Language Models For Financial Applications (2024) • No Venue
  Xie et al.
• Can Large Language Models Unlock Novel Scientific Research Ideas? (2024) • No Venue
  Kumar et al.
• Travelplanner: A Benchmark For Real-world Planning With Language Agents (2024) • No Venue
  Xie et al.
• Summary Of A Haystack: A Challenge To Long-context Llms And RAG Systems (2024) • No Venue
  Laban et al.
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  Kuratov et al.
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  Kuratov et al.
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  Kurtic et al.
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  Yang et al.
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  Mirzadeh et al.
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  Nguyen et al.
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  Ma et al.
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  Ni et al.
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  Mirza et al.
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  Nguyen et al.
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  Lyu et al.
• Preserving Multi-modal Capabilities Of Pre-trained Vlms For Improving Vision-linguistic Compositionality (2024) • No Venue
  Oh et al.
• JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark For Culture-aware Evaluation (2024) • No Venue
  Onohara et al.
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  Orgad et al.
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  Menapace et al.
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  Maharana et al.
• Tango 2: Aligning Diffusion-based Text-to-audio Generations Through Direct Preference Optimization (2024) • No Venue
  Majumder et al.
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  Maini et al.
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  Ma et al.
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  Meng et al.
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  Dmitry Nechaev, Alexey Pchelnikov, Ekaterina Ivanova
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  Nasiriany et al.
• BASE TTS: Lessons From Building A Billion-parameter Text-to-speech Model On 100K Hours Of Data (2024) • No Venue
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  Mei et al.
• Aya Model: An Instruction Finetuned Open-access Multilingual Language Model (2024) • No Venue
  Üstün et al.
• Camvig: Camera Aware Image-to-video Generation With Multimodal Transformers (2024) • No Venue
  Marmon et al.
• Eurollm: Multilingual Language Models For Europe (2024) • No Venue
  Martins et al.
• Open Language Data Initiative: Advancing Low-resource Machine Translation For Karakalpak (2024) • No Venue
  Mukhammadsaid Mamasaidov, Abror Shopulatov
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  Manh et al.
• TOFU: A Task Of Fictitious Unlearning For Llms (2024) • No Venue
  Maini et al.
• Openelm: An Efficient Language Model Family With Open-source Training And Inference Framework (2024) • No Venue
  Mehta et al.
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  Mei et al.
• Worldcuisines: A Massive-scale Benchmark For Multilingual And Multicultural Visual Question Answering On Global Cuisines (2024) • No Venue
  Winata et al.
• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once On Gemma 2 (2024) • No Venue
  Lieberum et al.
• From Elements To Design: A Layered Approach For Automatic Graphic Design Composition (2024) • No Venue
  Lin et al.
• Baichuan Alignment Technical Report (2024) • No Venue
  Lin et al.
• Open-sora Plan: Open-source Large Video Generation Model (2024) • No Venue
  Lin et al.
• Paper Copilot: A Self-evolving And Efficient LLM System For Personalized Academic Assistance (2024) • No Venue
  Lin et al.
• VMAS: Video-to-music Generation Via Semantic Alignment In Web Music Videos (2024) • No Venue
  Lin et al.
• Wildbench: Benchmarking Llms With Challenging Tasks From Real Users In The Wild (2024) • No Venue
  Lin et al.
• Omnidocbench: Benchmarking Diverse PDF Document Parsing With Comprehensive Annotations (2024) • No Venue
  Ouyang et al.
• Training Software Engineering Agents And Verifiers With Swe-gym (2024) • No Venue
  Pan et al.
• Law Of The Weakest Link: Cross Capabilities Of Large Language Models (2024) • No Venue
  Zhong et al.
• Bielik 7B V0.1: A Polish Language Model -- Development, Insights, And Evaluation (2024) • No Venue
  Ociepa et al.
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  Paglieri et al.
• Teach Multimodal Llms To Comprehend Electrocardiographic Images (2024) • No Venue
  Liu et al.
• Sparse Laneformer (2024) • No Venue
  Liu et al.
• Regmix: Data Mixture As Regression For Language Model Pre-training (2024) • No Venue
  Liu et al.
• Part123: Part-aware 3D Reconstruction From A Single-view Image (2024) • No Venue
  Liu et al.
• Mind Your Step (by Step): Chain-of-thought Can Reduce Performance On Tasks Where Thinking Makes Humans Worse (2024) • No Venue
  Liu et al.
• Mibench: Evaluating Multimodal Large Language Models Over Multiple Images (2024) • No Venue
  Liu et al.
• Magicquill: An Intelligent Interactive Image Editing System (2024) • No Venue
  Liu et al.
• Longgenbench: Long-context Generation Benchmark (2024) • No Venue
  Liu et al.
• Kangaroo: Lossless Self-speculative Decoding Via Double Early Exiting (2024) • No Venue
  Liu et al.
• Infini-gram: Scaling Unbounded N-gram Language Models To A Trillion Tokens (2024) • No Venue
  Liu et al.
• Harnessing Webpage Uis For Text-rich Visual Understanding (2024) • No Venue
  Liu et al.
• GRIN: Gradient-informed Moe (2024) • No Venue
  Liu et al.
• Flowing From Words To Pixels: A Framework For Cross-modality Evolution (2024) • No Venue
  Liu et al.
• Distilled Decoding 1: One-step Sampling Of Image Auto-regressive Models With Flow Matching (2024) • No Venue
  Liu et al.
• DDK: Distilling Domain Knowledge For Efficient Large Language Models (2024) • No Venue
  Liu et al.
• Chatqa: Building GPT-4 Level Conversational QA Models (2024) • No Venue
  Liu et al.
• Are Your Llms Capable Of Stable Reasoning? (2024) • No Venue
  Liu et al.
• Apigen: Automated Pipeline For Generating Verifiable And Diverse Function-calling Datasets (2024) • No Venue
  Liu et al.
• Reka Core, Flash, And Edge: A Series Of Powerful Multimodal Language Models (2024) • No Venue
  Ormazabal et al.
• Acemath: Advancing Frontier Math Reasoning With Post-training And Reward Modeling (2024) • No Venue
  Liu et al.
• Low-bit Quantization Favors Undertrained Llms: Scaling Laws For Quantized Llms With 100T Training Tokens (2024) • No Venue
  Ouyang et al.
• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• Step-dpo: Step-wise Preference Optimization For Long-chain Reasoning Of Llms (2024) • No Venue
  Lai et al.
• Unified Text-to-image Generation And Retrieval (2024) • No Venue
  Qu et al.
• Rewardbench: Evaluating Reward Models For Language Modeling (2024) • No Venue
  Lambert et al.
• Freescale: Unleashing The Resolution Of Diffusion Models Via Tuning-free Scale Fusion (2024) • No Venue
  Qiu et al.
• Do Large Language Models Latently Perform Multi-hop Reasoning? (2024) • No Venue
  Yang et al.
• What Matters When Building Vision-language Models? (2024) • No Venue
  Laurençon et al.
• A Preliminary Study Of O1 In Medicine: Are We Closer To An AI Doctor? (2024) • No Venue
  Xie et al.
• Stark: Social Long-term Multi-modal Conversation With Persona Commonsense Knowledge (2024) • No Venue
  Lee et al.
• Meteor: Mamba-based Traversal Of Rationale For Large Language And Vision Models (2024) • No Venue
  Lee et al.
• A Comprehensive Evaluation Of Quantized Instruction-tuned Large Language Models: An Experimental Analysis Up To 405B (2024) • No Venue
  Lee et al.
• Intriguing Properties Of Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Speech-massive: A Multilingual Speech Dataset For SLU And Beyond (2024) • No Venue
  Lee et al.
• Multi-lora Composition For Image Generation (2024) • No Venue
  Zhong et al.
• HGRN2: Gated Linear Rnns With State Expansion (2024) • No Venue
  Qin et al.
• Toward Robust Hyper-detailed Image Captioning: A Multiagent Approach And Dual Evaluation Metrics For Factuality And Coverage (2024) • No Venue
  Lee et al.
• Videorepair: Improving Text-to-video Generation Via Misalignment Evaluation And Localized Refinement (2024) • No Venue
  Lee et al.
• Xgen-videosyn-1: High-fidelity Text-to-video Synthesis With Compressed Representations (2024) • No Venue
  Qin et al.
• Report Cards: Qualitative Evaluation Of Language Models Using Natural Language Summaries (2024) • No Venue
  Yang et al.
• Beyond A*: Better Planning With Transformers Via Search Dynamics Bootstrapping (2024) • No Venue
  Lehnert et al.
• Memorag: Moving Towards Next-gen RAG Via Memory-inspired Knowledge Discovery (2024) • No Venue
  Qian et al.
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  Xiao et al.
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  Xie et al.
• Songcreator: Lyrics-based Universal Song Generation (2024) • No Venue
  Lei et al.
• Benchmarking Agentic Workflow Generation (2024) • No Venue
  Qiao et al.
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  Qiao et al.
• Prism: A Framework For Decoupling And Assessing The Capabilities Of Vlms (2024) • No Venue
  Qiao et al.
• How Easy Is It To Fool Your Multimodal Llms? An Empirical Analysis On Deceptive Prompts (2024) • No Venue
  Qian et al.
• The Curse Of Multi-modalities: Evaluating Hallucinations Of Large Multimodal Models Across Language, Visual, And Audio (2024) • No Venue
  Leng et al.
• MMIE: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-language Models (2024) • No Venue
  Xia et al.
• Same Task, More Tokens: The Impact Of Input Length On The Reasoning Performance Of Large Language Models (2024) • No Venue
  Mosh Levy, Alon Jacoby, Yoav Goldberg
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  Li et al.
• K-sort Arena: Efficient And Reliable Benchmarking For Generative Models Via K-wise Human Preferences (2024) • No Venue
  Li et al.
• Brushedit: All-in-one Image Inpainting And Editing (2024) • No Venue
  Li et al.
• Aligning Diffusion Models By Optimizing Human Utility (2024) • No Venue
  Li et al.
• A Survey On The Honesty Of Large Language Models (2024) • No Venue
  Li et al.
• Dual3d: Efficient And Consistent Text-to-3d Generation With Dual-mode Multi-view Latent Diffusion (2024) • No Venue
  Li et al.
• Datacomp-lm: In Search Of The Next Generation Of Training Sets For Language Models (2024) • No Venue
  Li et al.
• GMAI-VL & GMAI-VL-5.5M: A Large Vision-language Model And A Comprehensive Multimodal Dataset Towards General Medical AI (2024) • No Venue
  Li et al.
• Hunyuan-dit: A Powerful Multi-resolution Diffusion Transformer With Fine-grained Chinese Understanding (2024) • No Venue
  Li et al.
• Needlebench: Can Llms Do Retrieval And Reasoning In 1 Million Context Window? (2024) • No Venue
  Li et al.
• Livebench: A Challenging, Contamination-free LLM Benchmark (2024) • No Venue
  White et al.
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  Park et al.
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  Park et al.
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  Weller et al.
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  Pariza et al.
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  Wu et al.
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  Zhu et al.
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  Liang et al.
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  Liang et al.
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  Liang et al.
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  Liang et al.
• Diffsensei: Bridging Multi-modal Llms And Diffusion Models For Customized Manga Generation (2024) • No Venue
  Wu et al.
• AUTOHALLUSION: Automatic Generation Of Hallucination Benchmarks For Vision-language Models (2024) • No Venue
  Wu et al.
• Dreamhoi: Subject-driven Generation Of 3D Human-object Interactions With Diffusion Priors (2024) • No Venue
  Thomas Hanwen Zhu, Ruining Li, Tomas Jakab
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  Zhu et al.
• Jamba: A Hybrid Transformer-mamba Language Model (2024) • No Venue
  Lieber et al.
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  Postolache et al.
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  Wu et al.
• SPIQA: A Dataset For Multimodal Question Answering On Scientific Papers (2024) • No Venue
  Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan
• Sambanova SN40L: Scaling The AI Memory Wall With Dataflow And Composition Of Experts (2024) • No Venue
  Prabhakar et al.
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  Qi et al.
• Reuse Your Rewards: Reward Model Transfer For Zero-shot Cross-lingual Alignment (2024) • No Venue
  Wu et al.
• Video Motion Transfer With Diffusion Transformers (2024) • No Venue
  Pondaven et al.
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  Parmar et al.
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  Wu et al.
• GEB-1.3B: Open Lightweight Large Language Model (2024) • No Venue
  Wu et al.
• Steering Rectified Flow Models In The Vector Field For Controlled Image Generation (2024) • No Venue
  Patel et al.
• Datadreamer: A Tool For Synthetic Data Generation And Reproducible LLM Workflows (2024) • No Venue
  Ajay Patel, Colin Raffel, Chris Callison-Burch
• Motionbooth: Motion-aware Customized Text-to-video Generation (2024) • No Venue
  Wu et al.
• Revisiting Text-to-image Evaluation With Gecko: On Metrics, Prompts, And Human Ratings (2024) • No Venue
  Wiles et al.
• Long-form Factuality In Large Language Models (2024) • No Venue
  Wei et al.
• Large Language Model Confidence Estimation Via Black-box Access (2024) • No Venue
  Pedapati et al.
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  Yuxiang Wei, Hojae Han, Rajhans Samdani
• OWSM V3.1: Better And Faster Open Whisper-style Speech Models Based On E-branchformer (2024) • No Venue
  Peng et al.
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  Wang et al.
• The Fineweb Datasets: Decanting The Web For The Finest Text Data At Scale (2024) • No Venue
  Penedo et al.
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  Peng et al.
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  Polyak et al.
• Plot2code: A Comprehensive Benchmark For Evaluating Multi-modal Large Language Models In Code Generation From Scientific Plots (2024) • No Venue
  Wu et al.
• Spinning The Golden Thread: Benchmarking Long-form Generation In Language Models (2024) • No Venue
  Wu et al.
• Reft: Representation Finetuning For Language Models (2024) • No Venue
  Wu et al.
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  Pham et al.
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  Wu et al.
• Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder For Fast, Memory Efficient, And Long Context Finetuning And Inference (2024) • No Venue
  Warner et al.
• Longvideobench: A Benchmark For Long-context Interleaved Video-language Understanding (2024) • No Venue
  Wu et al.
• T3M: Text Guided 3D Human Motion Synthesis From Speech (2024) • No Venue
  Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang
• Muchomusic: Evaluating Music Understanding In Multimodal Audio-language Models (2024) • No Venue
  Weck et al.
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  Weber et al.
• Proposer-agent-evaluator(pae): Autonomous Skill Discovery For Foundation Model Internet Agents (2024) • No Venue
  Zhou et al.
• Visual Context Window Extension: A New Perspective For Long Video Understanding (2024) • No Venue
  Hongchen Wei, Zhenzhong Chen
• Skywork-moe: A Deep Dive Into Training Techniques For Mixture-of-experts Language Models (2024) • No Venue
  Wei et al.
• Personalized Multimodal Large Language Models: A Survey (2024) • No Venue
  Wu et al.
• Longmemeval: Benchmarking Chat Assistants On Long-term Interactive Memory (2024) • No Venue
  Wu et al.
• Hyperagent: Generalist Software Engineering Agents To Solve Coding Tasks At Scale (2024) • No Venue
  Huy Nhat Phan, Phong X. Nguyen, Nghi D. Q. Bui
• LAION-SG: An Enhanced Large-scale Dataset For Training Complex Image-text Models With Structural Annotations (2024) • No Venue
  Li et al.
• Large Language Model Evaluation Via Matrix Nuclear-norm (2024) • No Venue
  Li et al.
• M3sciqa: A Multi-modal Multi-document Scientific QA Benchmark For Evaluating Foundation Models (2024) • No Venue
  Li et al.
• Long-context Llms Struggle With Long In-context Learning (2024) • No Venue
  Li et al.
• Nearest Neighbor Speculative Decoding For LLM Generation And Attribution (2024) • No Venue
  Li et al.
• More Agents Is All You Need (2024) • No Venue
  Li et al.
• Naturalbench: Evaluating Vision-language Models On Natural Adversarial Samples (2024) • No Venue
  Li et al.
• Playground V2.5: Three Insights Towards Enhancing Aesthetic Quality In Text-to-image Generation (2024) • No Venue
  Li et al.
• Omnibench: Towards The Future Of Universal Omni-language Models (2024) • No Venue
  Li et al.
• Q-refine: A Perceptual Quality Refiner For Ai-generated Image (2024) • No Venue
  Li et al.
• Synthetic Data (almost) From Scratch: Generalized Instruction Tuning For Language Models (2024) • No Venue
  Li et al.
• Seeing And Understanding: Bridging Vision With Chemical Knowledge Via Chemvlm (2024) • No Venue
  Li et al.
• Seed-bench-2-plus: Benchmarking Multimodal Large Language Models With Text-rich Visual Comprehension (2024) • No Venue
  Li et al.
• Tele-flm Technical Report (2024) • No Venue
  Li et al.
• Taptrv2: Attention-based Position Update Improves Tracking Any Point (2024) • No Venue
  Li et al.
• Temporal Reasoning Transfer From Text To Video (2024) • No Venue
  Li et al.
• Unipose: A Unified Multimodal Framework For Human Pose Comprehension, Generation And Editing (2024) • No Venue
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• Notellm: A Retrievable Large Language Model For Note Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
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• Read-me: Refactorizing Llms As Router-decoupled Mixture Of Experts With System Co-design (2024) • No Venue
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• Ditctrl: Exploring Attention Control In Multi-modal Diffusion Transformer For Tuning-free Multi-prompt Longer Video Generation (2024) • No Venue
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• Structeval: Deepen And Broaden Large Language Model Assessment Via Structured Evaluation (2024) • No Venue
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  Diego Carraro, Derek Bridge
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• Hackphyr: A Local Fine-tuned LLM Agent For Network Security Environments (2024) • No Venue
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• Compositional Video Generation As Flow Equalization (2024) • No Venue
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• Bigdocs: An Open And Permissively-licensed Dataset For Training Multimodal Models On Document And Code Tasks (2024) • No Venue
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• Wildteaming At Scale: From In-the-wild Jailbreaks To (adversarially) Safer Language Models (2024) • No Venue
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• INCLUDE: Evaluating Multilingual Language Understanding With Regional Knowledge (2024) • No Venue
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• Univg: Towards Unified-modal Video Generation (2024) • No Venue
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  Ragav Sachdeva, Gyungin Shin, Andrew Zisserman
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• Minference 1.0: Accelerating Pre-filling For Long-context Llms Via Dynamic Sparse Attention (2024) • No Venue
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• Genai Arena: An Open Evaluation Platform For Generative Models (2024) • No Venue
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• Videohallucer: Evaluating Intrinsic And Extrinsic Hallucinations In Large Video-language Models (2024) • No Venue
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• LML: Language Model Learning A Dataset For Data-augmented Prediction (2024) • No Venue
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• The Good, The Bad, And The Greedy: Evaluation Of Llms Should Not Ignore Non-determinism (2024) • No Venue
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• All Languages Matter: Evaluating Lmms On Culturally Diverse 100 Languages (2024) • No Venue
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  Gili Goldin, Shuly Wintner
• Is It Really Long Context If All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP (2024) • No Venue
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• Atomovideo: High Fidelity Image-to-video Generation (2024) • No Venue
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• Omnifusion Technical Report (2024) • No Venue
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  Linyuan Gong, Mostafa Elhoushi, Alvin Cheung
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• Scaling Diffusion Language Models Via Adaptation From Autoregressive Models (2024) • No Venue
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• Facilitating Large Language Model Russian Adaptation With Learned Embedding Propagation (2024) • No Venue
  Mikhail Tikhomirov, Daniil Chernyshev
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• Interleaved Scene Graph For Interleaved Text-and-image Generation Assessment (2024) • No Venue
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• Gmai-mmbench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI (2024) • No Venue
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• How Far Are We To GPT-4V? Closing The Gap To Commercial Multimodal Models With Open-source Suites (2024) • No Venue
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• Mega-bench: Scaling Multimodal Evaluation To Over 500 Real-world Tasks (2024) • No Venue
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• Motionllm: Understanding Human Behaviors From Human Motions And Videos (2024) • No Venue
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• Mj-bench: Is Your Multimodal Reward Model Really A Good Judge For Text-to-image Generation? (2024) • No Venue
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• ODIN: Disentangled Reward Mitigates Hacking In RLHF (2024) • No Venue
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• Omnicreator: Self-supervised Unified Generation With Universal Editing (2024) • No Venue
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• Panda-70m: Captioning 70M Videos With Multiple Cross-modality Teachers (2024) • No Venue
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• Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/multi-modal Jailbreak Attacks? (2024) • No Venue
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• Self-play Fine-tuning Converts Weak Language Models To Strong Language Models (2024) • No Venue
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• SAR3D: Autoregressive 3D Object Generation And Understanding Via Multi-scale 3D VQVAE (2024) • No Venue
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• Retrospective Learning From Interactions (2024) • No Venue
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• Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery (2024) • No Venue
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• Videocrafter2: Overcoming Data Limitations For High-quality Video Diffusion Models (2024) • No Venue
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• Unified Hallucination Detection For Multimodal Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
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• VALL-E 2: Neural Codec Language Models Are Human Parity Zero-shot Text To Speech Synthesizers (2024) • No Venue
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• Narrowing The Knowledge Evaluation Gap: Open-domain Question Answering With Multi-granularity Answers (2024) • No Venue
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• Lexc-gen: Generating Data For Extremely Low-resource Languages With Large Language Models And Bilingual Lexicons (2024) • No Venue
  Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach
• IOPO: Empowering Llms With Complex Instruction Following Via Input-output Preference Optimization (2024) • No Venue
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• K-level Reasoning With Large Language Models (2024) • No Venue
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• Long Context Transfer From Language To Vision (2024) • No Venue
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• Direct Preference Optimization Using Sparse Feature-level Constraints (2024) • No Venue
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• SPAR: Personalized Content-based Recommendation Via Long Engagement Attention (2024) • No Venue
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• The Vision Of Autonomic Computing: Can Llms Make It A Reality? (2024) • No Venue
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• Balancing Pipeline Parallelism With Vocabulary Parallelism (2024) • No Venue
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• Cogview3: Finer And Faster Text-to-image Generation Via Relay Diffusion (2024) • No Venue
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• Video-panda: Parameter-efficient Alignment For Encoder-free Video-language Models (2024) • No Venue
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• Video Instruction Tuning With Synthetic Data (2024) • No Venue
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• Wukong: Towards A Scaling Law For Large-scale Recommendation (2024) • No Venue
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• PAS: Data-efficient Plug-and-play Prompt Augmentation System (2024) • No Venue
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• Planetarium: A Rigorous Benchmark For Translating Text To Structured Planning Languages (2024) • No Venue
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• MIRAI: Evaluating LLM Agents For Event Forecasting (2024) • No Venue
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• Openstory++: A Large-scale Dataset And Benchmark For Instance-aware Open-domain Visual Storytelling (2024) • No Venue
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• LOKI: A Comprehensive Synthetic Data Detection Benchmark Using Large Multimodal Models (2024) • No Venue
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• Mplug-owl3: Towards Long Image-sequence Understanding In Multi-modal Large Language Models (2024) • No Venue
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• Processbench: Identifying Process Errors In Mathematical Reasoning (2024) • No Venue
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• NATURAL PLAN: Benchmarking Llms On Natural Language Planning (2024) • No Venue
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• Gpt-4v(ision) Is A Generalist Web Agent, If Grounded (2024) • No Venue
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• Improving Visual Commonsense In Language Models Via Multiple Image Generation (2024) • No Venue
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• Opencodeinterpreter: Integrating Code Generation With Execution And Refinement (2024) • No Venue
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• Attention Heads Of Large Language Models: A Survey (2024) • No Venue
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• Llama Beyond English: An Empirical Study On Language Capability Transfer (2024) • No Venue
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• Minicpm-v: A GPT-4V Level MLLM On Your Phone (2024) • No Venue
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• Mixllm: LLM Quantization With Global Mixed-precision Between Output-features And Highly-efficient System Design (2024) • No Venue
  Zhen Zheng, Xiaonan Song, Chuanjie Liu
• Humaneval Pro And MBPP Pro: Evaluating Large Language Models On Self-invoking Code Generation (2024) • No Venue
  Yu et al.
• Steering Knowledge Selection Behaviours In Llms Via Sae-based Representation Engineering (2024) • No Venue
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• CORAL: Benchmarking Multi-turn Conversational Retrieval-augmentation Generation (2024) • No Venue
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• Bigcodebench: Benchmarking Code Generation With Diverse Function Calls And Complex Instructions (2024) • No Venue
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• Ultraedit: Instruction-based Fine-grained Image Editing At Scale (2024) • No Venue
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• Longagent: Scaling Language Models To 128k Context Through Multi-agent Collaboration (2024) • No Venue
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• Compressed Chain Of Thought: Efficient Reasoning Through Dense Representations (2024) • No Venue
  Jeffrey Cheng, Benjamin van Durme
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• Prosa: Assessing And Understanding The Prompt Sensitivity Of Llms (2024) • No Venue
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• Autodetect: Towards A Unified Framework For Automated Weakness Detection In Large Language Models (2024) • No Venue
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• Videgothink: Assessing Egocentric Video Understanding Capabilities For Embodied AI (2024) • No Venue
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• Videollama 2: Advancing Spatial-temporal Modeling And Audio Understanding In Video-llms (2024) • No Venue
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• Benchmarking Multi-image Understanding In Vision And Language Models: Perception, Knowledge, Reasoning, And Multi-hop Reasoning (2024) • No Venue
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• Masked Audio Generation Using A Single Non-autoregressive Transformer (2024) • No Venue
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• Fully Open Source Moxin-7b Technical Report (2024) • No Venue
  Zhao et al.
• Reflections From The 2024 Large Language Model (LLM) Hackathon For Applications In Materials Science And Chemistry (2024) • No Venue
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• Dynamath: A Dynamic Visual Benchmark For Evaluating Mathematical Reasoning Robustness Of Vision Language Models (2024) • No Venue
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• Bento: Benchmark Task Reduction With In-context Transferability (2024) • No Venue
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• Apollo: An Exploration Of Video Understanding In Large Multimodal Models (2024) • No Venue
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• Beyond Fine-tuning: Unleashing The Potential Of Continuous Pretraining For Clinical Llms (2024) • No Venue
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• M3docrag: Multi-modal Retrieval Is What You Need For Multi-page Multi-document Understanding (2024) • No Venue
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• Mind Meets Machine: Unravelling Gpt-4's Cognitive Psychology (2023) • BenchCouncil Transactions on Benchmarks, Standards and Evaluations • 31 citations
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• Is Chatgpt A Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation (2023) • Arxiv • 55 citations
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• Is Chatgpt A Good NLG Evaluator? A Preliminary Study (2023) • Proceedings of the 4th New Frontiers in Summarization Workshop • 196 citations
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• Element-aware Summarization With Large Language Models: Expert-aligned Evaluation And Chain-of-thought Method (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 28 citations
  Yiming Wang, Zhuosheng Zhang, Rui Wang
• Retrieval-augmented Generation For Large Language Models: A Survey (2023) • Arxiv • 13 citations
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• Is Chatgpt Good At Search? Investigating Large Language Models As Re-ranking Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 151 citations
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• MME: A Comprehensive Evaluation Benchmark For Multimodal Large Language Models (2023) • Arxiv • 87 citations
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• Analyzing And Mitigating Object Hallucination In Large Vision-language Models (2023) • Arxiv • 29 citations
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• Large Language Models For Compiler Optimization (2023) • No Venue
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• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
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• Rethinking The Evaluation For Conversational Recommendation In The Era Of Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 47 citations
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• An Image Is Worth Multiple Words: Learning Object Level Concepts Using Multi-concept Prompt Learning (2023) • No Venue
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• The Science Of Detecting Llm-generated Texts (2023) • Communications of the ACM • 90 citations
  Ruixiang Tang, Yu-Neng Chuang, Xia Hu
• Llm4vis: Explainable Visualization Recommendation Using Chatgpt (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 23 citations
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• Struc-bench: Are Large Language Models Really Good At Generating Complex Structured Data? (2023) • No Venue
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• Does GPT-4 Pass The Turing Test? (2023) • No Venue
  Cameron Jones, Benjamin Bergen
• Codegeex: A Pre-trained Model For Code Generation With Multilingual Benchmarking On Humaneval-x (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 183 citations
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• Visual Chain Of Thought: Bridging Logical Gaps With Multimodal Infillings (2023) • Arxiv • 10 citations
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• Randomized Positional Encodings Boost Length Generalization Of Transformers (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 14 citations
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• Why Does Chatgpt Fall Short In Providing Truthful Answers? (2023) • Arxiv • 35 citations
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• REPLUG: Retrieval-augmented Black-box Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 91 citations
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• The Flan Collection: Designing Data And Methods For Effective Instruction Tuning (2023) • Arxiv • 109 citations
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• Is Chatgpt A Good Recommender? A Preliminary Study (2023) • Arxiv • 44 citations
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• Tool Learning With Foundation Models (2023) • Arxiv • 27 citations
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• Evaluating Object Hallucination In Large Vision-language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 302 citations
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• Llmrec: Large Language Models With Graph Augmentation For Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 153 citations
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• Selfcheckgpt: Zero-resource Black-box Hallucination Detection For Generative Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 191 citations
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• Making Large Language Models Better Reasoners With Step-aware Verifier (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 41 citations
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• Gpt-neox-20b: An Open-source Autoregressive Language Model (2022) • Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models • 256 citations
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• UL2: Unifying Language Learning Paradigms (2022) • Arxiv • 97 citations
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  Si et al.
• Help Me Write A Poem: Instruction Tuning As A Vehicle For Collaborative Poetry Writing (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 38 citations
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• Holistic Evaluation Of Language Models (2022) • Annals of the New York Academy of Sciences • 128 citations
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• Learning To Retrieve Prompts For In-context Learning (2021) • Arxiv • 10 citations
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  Nakano et al.
• A General Language Assistant As A Laboratory For Alignment (2021) • Arxiv • 27 citations
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• Making Pre-trained Language Models Better Few-shot Learners (2020) • Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) • 575 citations
  Tianyu Gao, Adam Fisch, Danqi Chen
• Probing Pretrained Language Models For Lexical Semantics (2020) • Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) • 55 citations
  Vulić et al.

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Fine Tuning 1203 papers #

• Behavior Knowledge Merge In Reinforced Agentic Models (2026) • No Venue
  Yuan et al.
• Roi-reasoning: Rational Optimization For Inference Via Pre-computation Meta-cognition (2026) • No Venue
  Muyang Zhao, Qi Qi, Hao Sun
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• CGPT: Cluster-guided Partial Tables With Llm-generated Supervision For Table Retrieval (2026) • No Venue
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• Translategemma Technical Report (2026) • No Venue
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  Zhitao He, Zongwei Lyu, Yi R Fung
• Medical SAM3: A Foundation Model For Universal Prompt-driven Medical Image Segmentation (2026) • No Venue
  Jiang et al.
• An Empirical Study On Preference Tuning Generalization And Diversity Under Domain Shift (2026) • No Venue
  Constantinos Karouzos, Xingwei Tan, Nikolaos Aletras
• Reasoning Models Generate Societies Of Thought (2026) • No Venue
  Kim et al.
• Think-then-generate: Reasoning-aware Text-to-image Diffusion With LLM Encoders (2026) • No Venue
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• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
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  Li et al.
• Advances And Frontiers Of Llm-based Issue Resolution In Software Engineering: A Comprehensive Survey (2026) • No Venue
  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• NAACL: Noise-aware Verbal Confidence Calibration For Llms In RAG Systems (2026) • No Venue
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• Ministral 3 (2026) • No Venue
  Liu et al.
• Profit: Leveraging High-value Signals In SFT Via Probability-guided Token Selection (2026) • No Venue
  Liu et al.
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  Rahman et al.
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  Tao et al.
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  Team et al.
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  Tong et al.
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  Victor Conchello Vendrell, Max Ruiz Luyten, Mihaela van Der Schaar
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  Wan et al.
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  Wang et al.
• Agentic Reasoning For Large Language Models (2026) • No Venue
  Wei et al.
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  Wu et al.
• Motion Attribution For Video Generation (2026) • No Venue
  Wu et al.
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  Xuan et al.
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  Xu et al.
• Diffusionnft: Online Diffusion Reinforcement With Forward Process (2025) • No Venue
  Zheng et al.
• Hunyuan-mt Technical Report (2025) • No Venue
  Zheng et al.
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  Zheng et al.
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  Zhao et al.
• DICEPTION: A Generalist Diffusion Model For Visual Perceptual Tasks (2025) • No Venue
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  Rui Zhao, Weijia Mao, Mike Zheng Shou
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
• MM-RLHF: The Next Step Forward In Multimodal LLM Alignment (2025) • No Venue
  Zhang et al.
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  Zhang et al.
• In-context Edit: Enabling Instructional Image Editing With In-context Generation In Large Scale Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Infoagent: Advancing Autonomous Information-seeking Agents (2025) • No Venue
  Zhang et al.
• Qwen3 Embedding: Advancing Text Embedding And Reranking Through Foundation Models (2025) • No Venue
  Zhang et al.
• Packing Input Frame Context In Next-frame Prediction Models For Video Generation (2025) • No Venue
  Lvmin Zhang, Maneesh Agrawala
• Openmmreasoner: Pushing The Frontiers For Multimodal Reasoning With An Open And General Recipe (2025) • No Venue
  Zhang et al.
• Inverse Ifeval: Can Llms Unlearn Stubborn Training Conventions To Follow Real Instructions? (2025) • No Venue
  Zhang et al.
• Minimax-speech: Intrinsic Zero-shot Text-to-speech With A Learnable Speaker Encoder (2025) • No Venue
  Zhang et al.
• Pairuni: Pairwise Training For Unified Multimodal Language Models (2025) • No Venue
  Zheng et al.
• Step Back To Leap Forward: Self-backtracking For Boosting Reasoning Of Language Models (2025) • No Venue
  Yang et al.
• Qwen2.5-1m Technical Report (2025) • No Venue
  Yang et al.
• Longvt: Incentivizing "thinking With Long Videos" Via Native Tool Calling (2025) • No Venue
  Yang et al.
• Mantis: A Versatile Vision-language-action Model With Disentangled Visual Foresight (2025) • No Venue
  Yang et al.
• Multiverse: Your Language Models Secretly Decide How To Parallelize And Merge Generation (2025) • No Venue
  Yang et al.
• Mmada: Multimodal Large Diffusion Language Models (2025) • No Venue
  Yang et al.
• Steering Vision-language-action Models As Anti-exploration: A Test-time Scaling Approach (2025) • No Venue
  Yang et al.
• R1-onevision: Advancing Generalized Multimodal Reasoning Through Cross-modal Formalization (2025) • No Venue
  Yang et al.
• Table-r1: Inference-time Scaling For Table Reasoning (2025) • No Venue
  Yang et al.
• Ui2code^n: A Visual Language Model For Test-time Scalable Interactive Ui-to-code Generation (2025) • No Venue
  Yang et al.
• Vlaser: Vision-language-action Model With Synergistic Embodied Reasoning (2025) • No Venue
  Yang et al.
• Visual Spatial Tuning (2025) • No Venue
  Yang et al.
• Optimizing Chain-of-thought Reasoners Via Gradient Variance Minimization In Rejection Sampling And RL (2025) • No Venue
  Yao et al.
• Are Reasoning Models More Prone To Hallucination? (2025) • No Venue
  Yao et al.
• Analyzing The Effects Of Supervised Fine-tuning On Model Knowledge From Token And Parameter Levels (2025) • No Venue
  Ye et al.
• Agentfold: Long-horizon Web Agents With Proactive Context Management (2025) • No Venue
  Ye et al.
• Dream-vl & Dream-vla: Open Vision-language And Vision-language-action Models With Diffusion Language Model Backbone (2025) • No Venue
  Ye et al.
• VLA-R1: Enhancing Reasoning In Vision-language-action Models (2025) • No Venue
  Ye et al.
• Demystifying Long Chain-of-thought Reasoning In Llms (2025) • No Venue
  Yeo et al.
• Tattoo: Tool-grounded Thinking PRM For Test-time Scaling In Tabular Reasoning (2025) • No Venue
  Zou et al.
• Rlinf-vla: A Unified And Efficient Framework For VLA+RL Training (2025) • No Venue
  Zang et al.
• Reflection Removal Through Efficient Adaptation Of Diffusion Transformers (2025) • No Venue
  Zakarin et al.
• Reasoning Vectors: Transferring Chain-of-thought Capabilities Via Task Arithmetic (2025) • No Venue
  Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Bernard Ghanem
• Diffusionvl: Translating Any Autoregressive Models Into Diffusion Vision Language Models (2025) • No Venue
  Zeng et al.
• A Glimpse To Compress: Dynamic Visual Token Pruning For Large Vision-language Models (2025) • No Venue
  Zeng et al.
• ACECODER: Acing Coder RL Via Automated Test-case Synthesis (2025) • No Venue
  Zeng et al.
• Done Is Better Than Perfect: Unlocking Efficient Reasoning By Structured Multi-turn Decomposition (2025) • No Venue
  Zeng et al.
• MIRA: Multimodal Iterative Reasoning Agent For Image Editing (2025) • No Venue
  Ziyun Zeng, Hang Hua, Jiebo Luo
• Satori-swe: Evolutionary Test-time Scaling For Sample-efficient Software Engineering (2025) • No Venue
  Zeng et al.
• Actial: Activate Spatial Reasoning Ability Of Multimodal Large Language Models (2025) • No Venue
  Zhan et al.
• Skywork-swe: Unveiling Data Scaling Laws For Software Engineering In Llms (2025) • No Venue
  Zeng et al.
• Uitron: Foundational GUI Agent With Advanced Perception And Planning (2025) • No Venue
  Zeng et al.
• Visual Backdoor Attacks On MLLM Embodied Decision Making Via Contrastive Trigger Learning (2025) • No Venue
  Zhan et al.
• Vision-r1: Evolving Human-free Alignment In Large Vision-language Models Via Vision-guided Reinforcement Learning (2025) • No Venue
  Zhan et al.
• Evaluating Parameter Efficient Methods For RLVR (2025) • No Venue
  Yin et al.
• SAIL-VL2 Technical Report (2025) • No Venue
  Yin et al.
• A Practical Two-stage Recipe For Mathematical Llms: Maximizing Accuracy With SFT And Efficiency With Reinforcement Learning (2025) • No Venue
  Hiroshi Yoshihara, Taiki Yamaguchi, Yuichi Inoue
• Stresstest: Can YOUR Speech LM Handle The Stress? (2025) • No Venue
  Iddo Yosha, Gallil Maimon, Yossi Adi
• Demystifying Reinforcement Learning In Agentic Reasoning (2025) • No Venue
  Yu et al.
• Medreseacher-r1: Expert-level Medical Deep Researcher Via A Knowledge-informed Trajectory Synthesis Framework (2025) • No Venue
  Yu et al.
• Rethinking The Generation Of High-quality Cot Data From The Perspective Of Llm-adaptive Question Difficulty Grading (2025) • No Venue
  Yu et al.
• The Stochastic Parrot On Llm's Shoulder: A Summative Assessment Of Physical Concept Understanding (2025) • No Venue
  Yu et al.
• Sliding Window Attention Adaptation (2025) • No Venue
  Yu et al.
• Z1: Efficient Test-time Scaling With Code (2025) • No Venue
  Yu et al.
• Tarsier2: Advancing Large Vision-language Models From Detailed Video Description To Comprehensive Video Understanding (2025) • No Venue
  Yuan et al.
• Efficientllm: Efficiency In Large Language Models (2025) • No Venue
  Yuan et al.
• Embodied-r1: Reinforced Embodied Reasoning For General Robotic Manipulation (2025) • No Venue
  Yuan et al.
• Enhancing Human-like Responses In Large Language Models (2025) • No Venue
  Ethem Yağız Çalık, Talha Rüzgar Akkuş
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  Yuan et al.
• Reasonflux-prm: Trajectory-aware Prms For Long Chain-of-thought Reasoning In Llms (2025) • No Venue
  Zou et al.
• Designlab: Designing Slides Through Iterative Detection And Correction (2025) • No Venue
  Yun et al.
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  Zhu et al.
• When Does Reasoning Matter? A Controlled Study Of Reasoning's Contribution To Model Performance (2025) • No Venue
  Boizard et al.
• Self-improving LLM Agents At Test-time (2025) • No Venue
  Acikgoz et al.
• Every Activation Boosted: Scaling General Reasoner To 1 Trillion Open Language Foundation (2025) • No Venue
  Ling-Team et al.
• Nemotron 3 Nano: Open, Efficient Mixture-of-experts Hybrid Mamba-transformer Model For Agentic Reasoning (2025) • No Venue
  Nvidia et al.
• Phi-4-mini Technical Report: Compact Yet Powerful Multimodal Language Models Via Mixture-of-loras (2025) • No Venue
  Abouelenin et al.
• Dynamic Concepts Personalization From Single Videos (2025) • No Venue
  Abdal et al.
• Phi-4-reasoning Technical Report (2025) • No Venue
  Abdin et al.
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  Ahmad et al.
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  Ahmadi et al.
• Fine-grained Perturbation Guidance Via Attention Head Selection (2025) • No Venue
  Ahn et al.
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  Bagirov et al.
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  Akter et al.
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  Ahmed Alajrami, Xingwei Tan, Nikolaos Aletras
• Atla Selene Mini: A General Purpose Evaluation Model (2025) • No Venue
  Alexandru et al.
• LFM2 Technical Report (2025) • No Venue
  Amini et al.
• Kandinsky 5.0: A Family Of Foundation Models For Image And Video Generation (2025) • No Venue
  Arkhipkin et al.
• Fine-tuning Small Language Models For Domain-specific AI: An Edge AI Perspective (2025) • No Venue
  Aralimatti et al.
• Tabstar: A Foundation Tabular Model With Semantically Target-aware Representations (2025) • No Venue
  Alan Arazi, Eilam Shapira, Roi Reichart
• DASH: Detection And Assessment Of Systematic Hallucinations Of Vlms (2025) • No Venue
  Maximilian Augustin, Yannic Neuhaus, Matthias Hein
• Cadrille: Multi-modal CAD Reconstruction With Online Reinforcement Learning (2025) • No Venue
  Kolodiazhnyi et al.
• Why Can't Transformers Learn Multiplication? Reverse-engineering Reveals Long-range Dependency Pitfalls (2025) • No Venue
  Bai et al.
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025) • No Venue
  Bai et al.
• Univg-r1: Reasoning Guided Universal Visual Grounding With Reinforcement Learning (2025) • No Venue
  Bai et al.
• Sd3.5-flash: Distribution-guided Distillation Of Generative Flows (2025) • No Venue
  Bandyopadhyay et al.
• Spatialthinker: Reinforcing 3D Reasoning In Multimodal Llms Via Spatial Rewards (2025) • No Venue
  Batra et al.
• Extracting Alignment Data In Open Models (2025) • No Venue
  Barbero et al.
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  Iman Barati, Mostafa Amiri, Heshaam Faili
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  Bensaïd et al.
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  Bercovich et al.
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  Bian et al.
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  Bhatia et al.
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  Bie et al.
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  Bogachev et al.
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  Brahim et al.
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  Breton et al.
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  Patrice Béchard, Orlando Marquez Ayala
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  Cai et al.
• Condor: Enhance LLM Alignment With Knowledge-driven Data Synthesis And Refinement (2025) • No Venue
  Cao et al.
• Loracode: Lora Adapters For Code Embeddings (2025) • No Venue
  Saumya Chaturvedi, Aman Chadha, Laurent Bindschaedler
• GR-3 Technical Report (2025) • No Venue
  Cheang et al.
• Codesteer: Symbolic-augmented Language Models Via Code/text Guidance (2025) • No Venue
  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
• Dit-air: Revisiting The Efficiency Of Diffusion Model Architecture Design In Text To Image Generation (2025) • No Venue
  Chen et al.
• Edit Transfer: Learning Image Editing Via Vision In-context Relations (2025) • No Venue
  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Zhuang et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Yifei Chen, Guanting Dong, Zhicheng Dou
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  Chen et al.
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  Chen et al.
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  Zheng et al.
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  Yang et al.
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  Yang et al.
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  Yang et al.
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  Yang et al.
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• Autotriton: Automatic Triton Programming With Reinforcement Learning In Llms (2025) • No Venue
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• Chain-of-agents: End-to-end Agent Foundation Models Via Multi-agent Distillation And Agentic RL (2025) • No Venue
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• Stable Video Infinity: Infinite-length Video Generation With Error Recycling (2025) • No Venue
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• START: Self-taught Reasoner With Tools (2025) • No Venue
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• Staying In The Sweet Spot: Responsive Reasoning Evolution Via Capability-adaptive Hint Scaffolding (2025) • No Venue
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• Uni-moe-2.0-omni: Scaling Language-centric Omnimodal Large Model With Advanced Moe, Training And Data (2025) • No Venue
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• Towards Visual Text Grounding Of Multimodal Large Language Model (2025) • No Venue
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• Unifusion: Vision-language Model As Unified Encoder In Image Generation (2025) • No Venue
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• Veripo: Cultivating Long Reasoning In Video-llms Via Verifier-gudied Iterative Policy Optimization (2025) • No Venue
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• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
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• VLA-RFT: Vision-language-action Reinforcement Fine-tuning With Verified Rewards In World Simulators (2025) • No Venue
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• Euclid's Gift: Enhancing Spatial Perception And Reasoning In Vision-language Models Via Geometric Surrogate Tasks (2025) • No Venue
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• Notellm: A Retrievable Large Language Model For Note Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
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  Yikai Zhang, Junlong Li, Pengfei Liu
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  Mohammed Khalil, Mohammed Sabry
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• Modulated Intervention Preference Optimization (MIPO): Keep The Easy, Refine The Difficult (2024) • No Venue
  Cheolhun Jang
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  Maria Rigaki, Carlos Catania, Sebastian Garcia
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• Unimumo: Unified Text, Music And Motion Generation (2024) • No Venue
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• No More Adam: Learning Rate Scaling At Initialization Is All You Need (2024) • No Venue
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• Dataset Size Recovery From Lora Weights (2024) • No Venue
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• Synthesizing Text-to-sql Data From Weak And Strong Llms (2024) • No Venue
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• RATIONALYST: Pre-training Process-supervision For Improving Reasoning (2024) • No Venue
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• Comat: Aligning Text-to-image Diffusion Model With Image-to-text Concept Matching (2024) • No Venue
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• Mora: High-rank Updating For Parameter-efficient Fine-tuning (2024) • No Venue
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• Chatglm: A Family Of Large Language Models From GLM-130B To GLM-4 All Tools (2024) • No Venue
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  Gili Goldin, Shuly Wintner
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  Mikhail Tikhomirov, Daniil Chernyshev
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• Hierarchical Patch Diffusion Models For High-resolution Video Generation (2024) • No Venue
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• Selective Aggregation For Low-rank Adaptation In Federated Learning (2024) • No Venue
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• Vision Superalignment: Weak-to-strong Generalization For Vision Foundation Models (2024) • No Venue
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• MARVEL-40M+: Multi-level Visual Elaboration For High-fidelity Text-to-3d Content Creation (2024) • No Venue
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• Improving Text Embeddings For Smaller Language Models Using Contrastive Fine-tuning (2024) • No Venue
  Trapoom Ukarapol, Zhicheng Lee, Amy Xin
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• Mpirigen: MPI Code Generation Through Domain-specific Language Models (2024) • No Venue
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• Opencoder: The Open Cookbook For Top-tier Code Large Language Models (2024) • No Venue
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• Model Editing With Canonical Examples (2024) • No Venue
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• Jacolbertv2.5: Optimising Multi-vector Retrievers To Create State-of-the-art Japanese Retrievers With Constrained Resources (2024) • No Venue
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• Mitigating Fine-grained Hallucination By Fine-tuning Large Vision-language Models With Caption Rewrites (2023) • Lecture Notes in Computer Science • 23 citations
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• Alpha-clip: A CLIP Model Focusing On Wherever You Want (2023) • No Venue
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• T-sciq: Teaching Multimodal Chain-of-thought Reasoning Via Mixed Large Language Model Signals For Science Question Answering (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 28 citations
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• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
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• Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts (2023) • No Venue
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• Uncommonsense Reasoning: Abductive Reasoning About Uncommon Situations (2023) • No Venue
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• Whisper-at: Noise-robust Automatic Speech Recognizers Are Also Strong General Audio Event Taggers (2023) • No Venue
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• Optimize Weight Rounding Via Signed Gradient Descent For The Quantization Of Llms (2023) • No Venue
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• Retroformer: Retrospective Large Language Agents With Policy Gradient Optimization (2023) • No Venue
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• VMC: Video Motion Customization Using Temporal Attention Adaption For Text-to-video Diffusion Models (2023) • No Venue
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• Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior (2023) • No Venue
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• MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action (2023) • Arxiv • 78 citations
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• Ip-adapter: Text Compatible Image Prompt Adapter For Text-to-image Diffusion Models (2023) • No Venue
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• Recommender Systems In The Era Of Large Language Models (llms) (2023) • IEEE Transactions on Knowledge and Data Engineering • 216 citations
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• Textbooks Are All You Need (2023) • No Venue
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• Camels In A Changing Climate: Enhancing LM Adaptation With Tulu 2 (2023) • No Venue
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• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
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• Using Human Feedback To Fine-tune Diffusion Models Without Any Reward Model (2023) • No Venue
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• Tied-lora: Enhacing Parameter Efficiency Of Lora With Weight Tying (2023) • No Venue
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• Efficient RLHF: Reducing The Memory Usage Of PPO (2023) • No Venue
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• Text-to-sticker: Style Tailoring Latent Diffusion Models For Human Expression (2023) • No Venue
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• The Cot Collection: Improving Zero-shot And Few-shot Learning Of Language Models Via Chain-of-thought Fine-tuning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 31 citations
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• Dspy: Compiling Declarative Language Model Calls Into Self-improving Pipelines (2023) • No Venue
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• Sorted Llama: Unlocking The Potential Of Intermediate Layers Of Large Language Models For Dynamic Inference Using Sorted Fine-tuning (soft) (2023) • No Venue
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• Contrastive Feature Masking Open-vocabulary Vision Transformer (2023) • No Venue
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• A Paradigm Shift In Machine Translation: Boosting Translation Performance Of Large Language Models (2023) • No Venue
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• A Picture Is Worth More Than 77 Text Tokens: Evaluating Clip-style Models On Dense Captions (2023) • No Venue
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• Text-guided 3D Face Synthesis -- From Generation To Editing (2023) • No Venue
  Wu et al.
• Florence-2: Advancing A Unified Representation For A Variety Of Vision Tasks (2023) • No Venue
  Xiao et al.
• Dialogstudio: Towards Richest And Most Diverse Unified Dataset Collection For Conversational AI (2023) • No Venue
  Zhang et al.
• Exploiting Novel GPT-4 Apis (2023) • No Venue
  Pelrine et al.
• Time Is Encoded In The Weights Of Finetuned Language Models (2023) • No Venue
  Kai Nylund, Suchin Gururangan, Noah A. Smith
• Tablegpt: Towards Unifying Tables, Nature Language And Commands Into One GPT (2023) • No Venue
  Zha et al.
• Egovlpv2: Egocentric Video-language Pre-training With Fusion In The Backbone (2023) • No Venue
  Pramanick et al.
• Boosting Large Language Model For Speech Synthesis: An Empirical Study (2023) • No Venue
  Hao et al.
• Recommender AI Agent: Integrating Large Language Models For Interactive Recommendations (2023) • ACM Transactions on Information Systems • 21 citations
  Huang et al.
• Ziplora: Any Subject In Any Style By Effectively Merging Loras (2023) • No Venue
  Shah et al.
• Lorashear: Efficient Large Language Model Structured Pruning And Knowledge Recovery (2023) • No Venue
  Chen et al.
• Longlora: Efficient Fine-tuning Of Long-context Large Language Models (2023) • No Venue
  Chen et al.
• Extending Context Window Of Large Language Models Via Positional Interpolation (2023) • No Venue
  Chen et al.
• Alpagasus: Training A Better Alpaca With Fewer Data (2023) • No Venue
  Chen et al.
• Low-rank Adaptation Of Large Language Model Rescoring For Parameter-efficient Speech Recognition (2023) • No Venue
  Yu et al.
• Sotana: The Open-source Software Development Assistant (2023) • No Venue
  Shi et al.
• Unleashing The Power Of Pre-trained Language Models For Offline Reinforcement Learning (2023) • No Venue
  Shi et al.
• One-for-all: Generalized Lora For Parameter-efficient Fine-tuning (2023) • No Venue
  Chavan et al.
• S-lora: Serving Thousands Of Concurrent Lora Adapters (2023) • No Venue
  Sheng et al.
• Guiding Image Captioning Models Toward More Specific Captions (2023) • No Venue
  Kornblith et al.
• Vera: Vector-based Random Matrix Adaptation (2023) • No Venue
  Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki Markus Asano
• Judgelm: Fine-tuned Large Language Models Are Scalable Judges (2023) • No Venue
  Lianghui Zhu, Xinggang Wang, Xinlong Wang
• Metamath: Bootstrap Your Own Mathematical Questions For Large Language Models (2023) • No Venue
  Yu et al.
• Pockengine: Sparse And Efficient Fine-tuning In A Pocket (2023) • No Venue
  Zhu et al.
• Uniaudio: An Audio Foundation Model Toward Universal Audio Generation (2023) • No Venue
  Yang et al.
• GPT Can Solve Mathematical Problems Without A Calculator (2023) • No Venue
  Yang et al.
• Scaling Autoregressive Multi-modal Models: Pretraining And Instruction Tuning (2023) • No Venue
  Yu et al.
• Wavecoder: Widespread And Versatile Enhanced Instruction Tuning With Refined Data Generation (2023) • No Venue
  Yu et al.
• Nash Learning From Human Feedback (2023) • No Venue
  Munos et al.
• Instruction Mining: High-quality Instruction Data Selection For Large Language Models (2023) • No Venue
  Yihan Cao, Yanbin Kang, Lichao Sun
• H2ogpt: Democratizing Large Language Models (2023) • No Venue
  Candel et al.
• An Emulator For Fine-tuning Large Language Models Using Small Language Models (2023) • No Venue
  Mitchell et al.
• The Flan Collection: Designing Data And Methods For Effective Instruction Tuning (2023) • Arxiv • 109 citations
  Longpre et al.
• Wizardcoder: Empowering Code Large Language Models With Evol-instruct (2023) • No Venue
  Luo et al.
• Lcm-lora: A Universal Stable-diffusion Acceleration Module (2023) • No Venue
  Luo et al.
• Quantizable Transformers: Removing Outliers By Helping Attention Heads Do Nothing (2023) • No Venue
  Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
• Collaborative Large Language Model For Recommender Systems (2023) • WWW '24: The ACM Web Conference 2024 • 62 citations
  Zhu et al.
• Weak-to-strong Generalization: Eliciting Strong Capabilities With Weak Supervision (2023) • No Venue
  Burns et al.
• Carve3d: Improving Multi-view Reconstruction Consistency For Diffusion Models With RL Finetuning (2023) • No Venue
  Xie et al.
• Octopack: Instruction Tuning Code Large Language Models (2023) • No Venue
  Muennighoff et al.
• Mftcoder: Boosting Code Llms With Multitask Fine-tuning (2023) • No Venue
  Liu et al.
• An Empirical Study Of Scaling Instruct-tuned Large Multimodal Models (2023) • No Venue
  Lu et al.
• Anymal: An Efficient And Scalable Any-modality Augmented Language Model (2023) • No Venue
  Moon et al.
• Mitigating Hallucination In Large Multi-modal Models Via Robust Instruction Tuning (2023) • Arxiv • 24 citations
  Liu et al.
• Distributed Inference And Fine-tuning Of Large Language Models Over The Internet (2023) • No Venue
  Borzunov et al.
• Adapters: A Unified Library For Parameter-efficient And Modular Transfer Learning (2023) • No Venue
  Poth et al.
• Drugchat: Towards Enabling Chatgpt-like Capabilities On Drug Molecule Graphs (2023) • No Venue
  Liang et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• A Survey On Large Language Models For Recommendation (2023) • World Wide Web • 227 citations
  Wu et al.
• Training Chain-of-thought Via Latent-variable Inference (2023) • No Venue
  Phan et al.
• Platypus: Quick, Cheap, And Powerful Refinement Of Llms (2023) • No Venue
  Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz
• Controlling Text-to-image Diffusion By Orthogonal Finetuning (2023) • No Venue
  Qiu et al.
• Stylecrafter: Enhancing Stylized Text-to-video Generation With Style Adapter (2023) • No Venue
  Liu et al.
• Scaling Relationship On Learning Mathematical Reasoning With Large Language Models (2023) • No Venue
  Yuan et al.
• TART: A Plug-and-play Transformer Module For Task-agnostic Reasoning (2023) • No Venue
  Bhatia et al.
• YAYI 2: Multilingual Open-source Large Language Models (2023) • No Venue
  Luo et al.
• Instructvideo: Instructing Video Diffusion Models With Human Feedback (2023) • No Venue
  Yuan et al.
• PASTA: Pretrained Action-state Transformer Agents (2023) • No Venue
  Boige et al.
• Statistical Rejection Sampling Improves Preference Optimization (2023) • No Venue
  Liu et al.
• Kosmos-2.5: A Multimodal Literate Model (2023) • No Venue
  Lv et al.
• Parameter-efficient Orthogonal Finetuning Via Butterfly Factorization (2023) • No Venue
  Liu et al.
• Tinygsm: Achieving >80% On Gsm8k With Small Language Models (2023) • No Venue
  Liu et al.
• Visual Instruction Tuning (2023) • Arxiv • 665 citations
  Liu et al.
• Lora Fine-tuning Efficiently Undoes Safety Training In Llama 2-chat 70B (2023) • No Venue
  Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
• One-dimensional Adapter To Rule Them All: Concepts, Diffusion Models And Erasing Applications (2023) • No Venue
  Lyu et al.
• Speechgpt: Empowering Large Language Models With Intrinsic Cross-modal Conversational Abilities (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 117 citations
  Zhang et al.
• Full Parameter Fine-tuning For Large Language Models With Limited Resources (2023) • No Venue
  Lv et al.
• Orthogonal Adaptation For Modular Customization Of Diffusion Models (2023) • No Venue
  Po et al.
• Symbol Tuning Improves In-context Learning In Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Wei et al.
• Hyperfields: Towards Zero-shot Generation Of Nerfs From Text (2023) • No Venue
  Babu et al.
• Clipa-v2: Scaling CLIP Training With 81.1% Zero-shot Imagenet Accuracy Within A \10,000 Budget; An Extra 4,000 Unlocks 81.8% Accuracy (2023) • No Venue
  Xianhang Li, Zeyu Wang, Cihang Xie
• Instruction-tuning Aligns Llms To The Human Brain (2023) • No Venue
  Aw et al.
• Table-gpt: Table-tuned GPT For Diverse Table Tasks (2023) • No Venue
  Li et al.
• Loftq: Lora-fine-tuning-aware Quantization For Large Language Models (2023) • No Venue
  Li et al.
• Adalora: Adaptive Budget Allocation For Parameter-efficient Fine-tuning (2023) • Arxiv • 31 citations
  Zhang et al.
• Next-gpt: Any-to-any Multimodal LLM (2023) • No Venue
  Wu et al.
• On-policy Distillation Of Language Models: Learning From Self-generated Mistakes (2023) • No Venue
  Agarwal et al.
• FP8-LM: Training FP8 Large Language Models (2023) • No Venue
  Peng et al.
• Yarn: Efficient Context Window Extension Of Large Language Models (2023) • No Venue
  Peng et al.
• Simple Synthetic Data Reduces Sycophancy In Large Language Models (2023) • No Venue
  Wei et al.
• Polylm: An Open Source Polyglot Large Language Model (2023) • No Venue
  Wei et al.
• Tuna: Instruction Tuning Using Feedback From Large Language Models (2023) • No Venue
  Li et al.
• Learning From Mistakes Makes LLM Better Reasoner (2023) • No Venue
  An et al.
• VILA: On Pre-training For Visual Language Models (2023) • No Venue
  Lin et al.
• Can Programming Languages Boost Each Other Via Instruction Tuning? (2023) • No Venue
  Zan et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• Astrollama: Towards Specialized Foundation Models In Astronomy (2023) • No Venue
  Nguyen et al.
• Becoming Self-instruct: Introducing Early Stopping Criteria For Minimal Instruct Tuning (2023) • No Venue
  Alshikh et al.
• The Impact Of Depth And Width On Transformer Language Model Generalization (2023) • No Venue
  Petty et al.
• Star: Bootstrapping Reasoning With Reasoning (2022) • Arxiv • 113 citations
  Zelikman et al.
• Self-adaptive In-context Learning: An Information Compression Perspective For In-context Example Selection And Ordering (2022) • Arxiv • 14 citations
  Wu et al.
• News Summarization And Evaluation In The Era Of GPT-3 (2022) • Arxiv • 180 citations
  Tanya Goyal, Junyi Jessy Li, Greg Durrett
• UL2: Unifying Language Learning Paradigms (2022) • Arxiv • 97 citations
  Tay et al.
• Large Language Models Can Self-improve (2022) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 106 citations
  Huang et al.
• Help Me Write A Poem: Instruction Tuning As A Vehicle For Collaborative Poetry Writing (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 38 citations
  Tuhin Chakrabarty, Vishakh Padmakumar, He He
• Crosslingual Generalization Through Multitask Finetuning (2022) • Arxiv • 27 citations
  Muennighoff et al.
• Large Language Models Are Reasoning Teachers (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 50 citations
  Namgyu Ho, Laura Schmid, Se-Young Yun
• Multitask Prompted Training Enables Zero-shot Task Generalization (2021) • Arxiv • 560 citations
  Sanh et al.
• Webgpt: Browser-assisted Question-answering With Human Feedback (2021) • Arxiv • 33 citations
  Nakano et al.
• P-tuning V2: Prompt Tuning Can Be Comparable To Fine-tuning Universally Across Scales And Tasks (2021) • Arxiv • 262 citations
  Liu et al.
• Prefix-tuning: Optimizing Continuous Prompts For Generation (2021) • Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) • 1994 citations
  Xiang Lisa Li, Percy Liang
• A General Language Assistant As A Laboratory For Alignment (2021) • Arxiv • 27 citations
  Askell et al.
• CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) • AI Open • 52 citations
  Zhang et al.
• The Power Of Scale For Parameter-efficient Prompt Tuning (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 92 citations
  Brian Lester, Rami Al-Rfou, Noah Constant
• Retrieval-augmented Generation For Knowledge-intensive NLP Tasks (2020) • Arxiv • 18 citations
  Lewis et al.
• How Much Knowledge Can You Pack Into The Parameters Of A Language Model? (2020) • Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) • 200 citations
  Adam Roberts, Colin Raffel, Noam Shazeer
• Making Pre-trained Language Models Better Few-shot Learners (2020) • Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) • 575 citations
  Tianyu Gao, Adam Fisch, Danqi Chen

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In Context Learning 159 papers #

• Controlled Generation For Private Synthetic Text (2025) • No Venue
  Zihao Zhao, Anjalie Field
• Booststep: Boosting Mathematical Capability Of Large Language Models Via Improved Single-step Reasoning (2025) • No Venue
  Zhang et al.
• Reasoning Models Better Express Their Confidence (2025) • No Venue
  Yoon et al.
• Guided Self-evolving Llms With Minimal Human Supervision (2025) • No Venue
  Yu et al.
• PRELUDE: A Benchmark Designed To Require Global Comprehension And Reasoning Over Long Contexts (2025) • No Venue
  Yu et al.
• The Stochastic Parrot On Llm's Shoulder: A Summative Assessment Of Physical Concept Understanding (2025) • No Venue
  Yu et al.
• Hallucinations Can Improve Large Language Models In Drug Discovery (2025) • No Venue
  Shuzhou Yuan, Michael Färber
• Yue: Scaling Open Foundation Models For Long-form Music Generation (2025) • No Venue
  Yuan et al.
• Emergent Misalignment Via In-context Learning: Narrow In-context Examples Can Produce Broadly Misaligned Llms (2025) • No Venue
  Afonin et al.
• Chronos-2: From Univariate To Universal Forecasting (2025) • No Venue
  Ansari et al.
• Searchinstruct: Enhancing Domain Adaptation Via Retrieval-based Instruction Dataset Creation (2025) • No Venue
  Iman Barati, Mostafa Amiri, Heshaam Faili
• Nested Learning: The Illusion Of Deep Learning Architectures (2025) • No Venue
  Behrouz et al.
• Video-as-prompt: Unified Semantic Control For Video Generation (2025) • No Venue
  Bian et al.
• Orion-msp: Multi-scale Sparse Attention For Tabular In-context Learning (2025) • No Venue
  Bouadi et al.
• Sql-of-thought: Multi-agentic Text-to-sql With Guided Error Correction (2025) • No Venue
  Saumya Chaturvedi, Aman Chadha, Laurent Bindschaedler
• Edit Transfer: Learning Image Editing Via Vision In-context Relations (2025) • No Venue
  Chen et al.
• Icon: In-context Contribution For Automatic Data Selection (2025) • No Venue
  Yang et al.
• Dope: Denoising Rotary Position Embedding (2025) • No Venue
  Xiong et al.
• Evolving Prompts In-context: An Open-ended, Self-replicating Perspective (2025) • No Venue
  Jianyu Wang, Zhiqiang Hu, Lidong Bing
• Mmlongbench: Benchmarking Long-context Vision-language Models Effectively And Thoroughly (2025) • No Venue
  Wang et al.
• In-context Learning Strategies Emerge Rationally (2025) • No Venue
  Wurgaft et al.
• Omnigen2: Exploration To Advanced Multimodal Generation (2025) • No Venue
  Wu et al.
• Less-to-more Generalization: Unlocking More Controllability By In-context Generation (2025) • No Venue
  Wu et al.
• BOLT: Bootstrap Long Chain-of-thought In Language Models Without Distillation (2025) • No Venue
  Pang et al.
• RWKV-7 "goose" With Expressive Dynamic State Evolution (2025) • No Venue
  Peng et al.
• SMMILE: An Expert-driven Benchmark For Multimodal Medical In-context Learning (2025) • No Venue
  Rieff et al.
• Self-generated In-context Examples Improve LLM Agents For Sequential Decision-making Tasks (2025) • No Venue
  Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian
• When Punctuation Matters: A Large-scale Comparison Of Prompt Robustness Methods For Llms (2025) • No Venue
  Seleznyov et al.
• Measuring General Intelligence With Generated Games (2025) • No Venue
  Verma et al.
• Thinking With Video: Video Generation As A Promising Multimodal Reasoning Paradigm (2025) • No Venue
  Tong et al.
• Learn-by-interact: A Data-centric Framework For Self-adaptive Agents In Realistic Environments (2025) • No Venue
  Su et al.
• WEAVE: Unleashing And Benchmarking The In-context Interleaved Comprehension And Generation (2025) • No Venue
  Chow et al.
• Pre-trained Large Language Models Learn Hidden Markov Models In-context (2025) • No Venue
  Dai et al.
• Machinelearninglm: Continued Pretraining Language Models On Millions Of Synthetic Tabular Prediction Tasks Scales In-context ML (2025) • No Venue
  Dong et al.
• Pixels, Patterns, But No Poetry: To See The World Like Humans (2025) • No Venue
  Gao et al.
• Relationadapter: Learning And Transferring Visual Relation With Diffusion Transformers (2025) • No Venue
  Gong et al.
• Decoupled Global-local Alignment For Improving Compositional Understanding (2025) • No Venue
  Hu et al.
• Ultramemv2: Memory Networks Scaling To 120B Parameters With Superior Long-context Learning (2025) • No Venue
  Huang et al.
• When Thoughts Meet Facts: Reusable Reasoning For Long-context Lms (2025) • No Venue
  Jeong et al.
• Editverse: Unifying Image And Video Editing And Generation With In-context Learning (2025) • No Venue
  Ju et al.
• Token Reduction Should Go Beyond Efficiency In Generative Models -- From Vision, Language To Multimodality (2025) • No Venue
  Kong et al.
• C3PO: Critical-layer, Core-expert, Collaborative Pathway Optimization For Test-time Expert Re-mixing (2025) • No Venue
  Zhongyang Li, Ziyue Li, Tianyi Zhou
• Ic-effect: Precise And Efficient Video Effects Editing Via In-context Learning (2025) • No Venue
  Li et al.
• Repo: Language Models With Context Re-positioning (2025) • No Venue
  Huayang Li, Tianyu Zhao, Richard Sproat
• Vfxmaster: Unlocking Dynamic Visual Effect Generation Via In-context Learning (2025) • No Venue
  Li et al.
• Large Language Diffusion Models (2025) • No Venue
  Nie et al.
• Omnipsd: Layered PSD Generation With Diffusion Transformer (2025) • No Venue
  Liu et al.
• Xc-cache: Cross-attending To Cached Context For Efficient LLM Inference (2024) • No Venue
  Monteiro et al.
• Xland-100b: A Large-scale Multi-task Dataset For In-context Reinforcement Learning (2024) • No Venue
  Nikulin et al.
• Compositional Text-to-image Generation With Dense Blob Representations (2024) • No Venue
  Nie et al.
• A Controlled Study On Long Context Extension And Generalization In Llms (2024) • No Venue
  Lu et al.
• Audio Flamingo: A Novel Audio Language Model With Few-shot Learning And Dialogue Abilities (2024) • No Venue
  Kong et al.
• WILBUR: Adaptive In-context Learning For Robust And Accurate Web Agents (2024) • No Venue
  Lutz et al.
• Foundation Models For Music: A Survey (2024) • No Venue
  Ma et al.
• Spirit-lm: Interleaved Spoken And Written Language Model (2024) • No Venue
  Nguyen et al.
• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
  McKinzie et al.
• Mala-500: Massive Language Adaptation Of Large Language Models (2024) • No Venue
  Lin et al.
• Mibench: Evaluating Multimodal Large Language Models Over Multiple Images (2024) • No Venue
  Liu et al.
• Aligning Teacher With Student Preferences For Tailored Training Data Generation (2024) • No Venue
  Liu et al.
• Do Large Language Models Latently Perform Multi-hop Reasoning? (2024) • No Venue
  Yang et al.
• Making Text Embedders Few-shot Learners (2024) • No Venue
  Li et al.
• Can Mamba Learn How To Learn? A Comparative Study On In-context Learning Tasks (2024) • No Venue
  Park et al.
• Can Large Language Models Understand Context? (2024) • No Venue
  Zhu et al.
• Learning To Learn Faster From Human Feedback With Language Model Predictive Control (2024) • No Venue
  Liang et al.
• Beyond Examples: High-level Automated Reasoning Paradigm In In-context Learning Via MCTS (2024) • No Venue
  Wu et al.
• Long-context Llms Struggle With Long In-context Learning (2024) • No Venue
  Li et al.
• Omnicorpus: A Unified Multimodal Corpus Of 10 Billion-level Images Interleaved With Text (2024) • No Venue
  Li et al.
• Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel In Long-horizon Tasks (2024) • No Venue
  Li et al.
• In-context Editing: Learning Knowledge From Self-induced Distributions (2024) • No Venue
  Qi et al.
• Linear Transformers With Learnable Kernel Functions Are Better In-context Models (2024) • No Venue
  Aksenov et al.
• In-context Example Selection Via Similarity Search Improves Low-resource Machine Translation (2024) • No Venue
  Armel Zebaze, Benoît Sagot, Rachel Bawden
• Seed-tts: A Family Of High-quality Versatile Speech Generation Models (2024) • No Venue
  Anastassiou et al.
• Inference Scaling For Long-context Retrieval Augmented Generation (2024) • No Venue
  Yue et al.
• Revisiting In-context Learning With Long Context Language Models (2024) • No Venue
  Baek et al.
• Longbench V2: Towards Deeper Understanding And Reasoning On Realistic Long-context Multitasks (2024) • No Venue
  Bai et al.
• Diffusion Self-distillation For Zero-shot Customized Image Generation (2024) • No Venue
  Cai et al.
• Videoicl: Confidence-based Iterative In-context Learning For Out-of-distribution Video Understanding (2024) • No Venue
  Kim et al.
• MEDIC: Towards A Comprehensive Framework For Evaluating Llms In Clinical Applications (2024) • No Venue
  Kanithi et al.
• Capabilities Of Gemini Models In Medicine (2024) • No Venue
  Saab et al.
• The Impact Of Reasoning Step Length On Large Language Models (2024) • No Venue
  Jin et al.
• Everything Everywhere All At Once: Llms Can In-context Learn Multiple Tasks In Superposition (2024) • No Venue
  Xiong et al.
• Symdpo: Boosting In-context Learning Of Large Multimodal Models With Symbol Demonstration Direct Preference Optimization (2024) • No Venue
  Jia et al.
• Many-shot In-context Learning In Multimodal Foundation Models (2024) • No Venue
  Jiang et al.
• Scaling Diffusion Language Models Via Adaptation From Autoregressive Models (2024) • No Venue
  Gong et al.
• From Words To Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-context Examples (2024) • No Venue
  Vacareanu et al.
• Xgen-mm (BLIP-3): A Family Of Open Large Multimodal Models (2024) • No Venue
  Xue et al.
• Video As The New Language For Real-world Decision Making (2024) • No Venue
  Yang et al.
• Emergence Of Abstractions: Concept Encoding And Decoding Mechanism For In-context Learning In Transformers (2024) • No Venue
  Han et al.
• Sibyl: Simple Yet Effective Agent Framework For Complex Real-world Reasoning (2024) • No Venue
  Wang et al.
• How Far Are We From Intelligent Visual Deductive Reasoning? (2024) • No Venue
  Zhang et al.
• In-context Principle Learning From Mistakes (2024) • No Venue
  Zhang et al.
• Internlm-math: Open Math Large Language Models Toward Verifiable Reasoning (2024) • No Venue
  Ying et al.
• Differential Transformer (2024) • No Venue
  Ye et al.
• Ultraedit: Instruction-based Fine-grained Image Editing At Scale (2024) • No Venue
  Zhao et al.
• Bento: Benchmark Task Reduction With In-context Transferability (2024) • No Venue
  Zhao et al.
• Funaudiollm: Voice Understanding And Generation Foundation Models For Natural Interaction Between Humans And Llms (2024) • No Venue
  Tongyi Speechteam
• Spreadsheetllm: Encoding Spreadsheets For Large Language Models (2024) • No Venue
  Tian et al.
• X-prompt: Towards Universal In-context Image Generation In Auto-regressive Vision Language Foundation Models (2024) • No Venue
  Sun et al.
• Sketchagent: Language-driven Sequential Sketch Generation (2024) • No Venue
  Vinker et al.
• Moscar: A Large-scale Multilingual And Multimodal Document-level Corpus (2024) • No Venue
  Futeral et al.
• Causal Diffusion Transformers For Generative Modeling (2024) • No Venue
  Deng et al.
• Chain-of-table: Evolving Tables In The Reasoning Chain For Table Understanding (2024) • No Venue
  Wang et al.
• Lloco: Learning Long Contexts Offline (2024) • No Venue
  Tan et al.
• Llms In The Imaginarium: Tool Learning Through Simulated Trial And Error (2024) • No Venue
  Wang et al.
• Causallm Is Not Optimal For In-context Learning (2023) • No Venue
  Ding et al.
• Link-context Learning For Multimodal Llms (2023) • No Venue
  Tai et al.
• Is Chatgpt A Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation (2023) • Arxiv • 55 citations
  Fang et al.
• Learning To Retrieve In-context Examples For Large Language Models (2023) • No Venue
  Liang Wang, Nan Yang, Furu Wei
• Neural Codec Language Models Are Zero-shot Text To Speech Synthesizers (2023) • IEEE Transactions on Audio, Speech and Language Processing • 55 citations
  Wang et al.
• Language Modeling Is Compression (2023) • No Venue
  Delétang et al.
• Context-aware Meta-learning (2023) • No Venue
  Fifty et al.
• Sql-palm: Improved Large Language Modeladaptation For Text-to-sql (2023) • No Venue
  Sun et al.
• Augmenting Language Models With Long-term Memory (2023) • No Venue
  Wang et al.
• Mindagent: Emergent Gaming Interaction (2023) • No Venue
  Gong et al.
• Chatanything: Facetime Chat With Llm-enhanced Personas (2023) • No Venue
  Zhao et al.
• How Far Are Large Language Models From Agents With Theory-of-mind? (2023) • No Venue
  Zhou et al.
• Pre-training To Learn In Context (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Gu et al.
• RAVEN: In-context Learning With Retrieval Augmented Encoder-decoder Language Models (2023) • No Venue
  Huang et al.
• Lorahub: Efficient Cross-task Generalization Via Dynamic Lora Composition (2023) • No Venue
  Huang et al.
• A Survey On Multimodal Large Language Models (2023) • National Science Review • 340 citations
  Yin et al.
• How Well Does Gpt-4v(ision) Adapt To Distribution Shifts? A Preliminary Investigation (2023) • No Venue
  Han et al.
• In-context Pretraining: Language Modeling Beyond Document Boundaries (2023) • No Venue
  Shi et al.
• In-context Learning Creates Task Vectors (2023) • No Venue
  Roee Hendel, Mor Geva, Amir Globerson
• In-context Prompt Editing For Conditional Audio Generation (2023) • No Venue
  Chang et al.
• Language To Rewards For Robotic Skill Synthesis (2023) • No Venue
  Yu et al.
• Gated Recurrent Neural Networks Discover Attention (2023) • No Venue
  Zucchet et al.
• Large Language Models As General Pattern Machines (2023) • No Venue
  Mirchandani et al.
• VL-GPT: A Generative Pre-trained Transformer For Vision And Language Understanding And Generation (2023) • No Venue
  Zhu et al.
• Hyenadna: Long-range Genomic Sequence Modeling At Single Nucleotide Resolution (2023) • No Venue
  Nguyen et al.
• Calibrating Llm-based Evaluator (2023) • No Venue
  Liu et al.
• Uncovering Mesa-optimization Algorithms In Transformers (2023) • No Venue
  Oswald et al.
• Deja Vu: Contextual Sparsity For Efficient Llms At Inference Time (2023) • No Venue
  Liu et al.
• TART: A Plug-and-play Transformer Module For Task-agnostic Reasoning (2023) • No Venue
  Bhatia et al.
• Audioldm 2: Learning Holistic Audio Generation With Self-supervised Pretraining (2023) • No Venue
  Liu et al.
• Symbol Tuning Improves In-context Learning In Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Wei et al.
• JEN-1: Text-guided Universal Music Generation With Omnidirectional Diffusion Models (2023) • No Venue
  Li et al.
• MIMIC-IT: Multi-modal In-context Instruction Tuning (2023) • No Venue
  Li et al.
• Textbooks Are All You Need II: Phi-1.5 Technical Report (2023) • No Venue
  Li et al.
• Dolphins: Multimodal Language Model For Driving (2023) • No Venue
  Ma et al.
• Kosmos-2: Grounding Multimodal Large Language Models To The World (2023) • No Venue
  Peng et al.
• FLIRT: Feedback Loop In-context Red Teaming (2023) • No Venue
  Mehrabi et al.
• VILA: On Pre-training For Visual Language Models (2023) • No Venue
  Lin et al.
• Eureka: Human-level Reward Design Via Coding Large Language Models (2023) • No Venue
  Ma et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• Layoutprompter: Awaken The Design Ability Of Large Language Models (2023) • No Venue
  Lin et al.
• Active Example Selection For In-context Learning (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 72 citations
  Yiming Zhang, Shi Feng, Chenhao Tan
• Self-adaptive In-context Learning: An Information Compression Perspective For In-context Example Selection And Ordering (2022) • Arxiv • 14 citations
  Wu et al.
• Self-prompting Large Language Models For Zero-shot Open-domain QA (2022) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Li et al.
• UL2: Unifying Language Learning Paradigms (2022) • Arxiv • 97 citations
  Tay et al.
• Large Language Models Are Few(1)-shot Table Reasoners (2022) • Findings of the Association for Computational Linguistics: EACL 2023 • 47 citations
  Wenhu Chen
• On The Effect Of Pretraining Corpora On In-context Learning By A Large-scale Language Model (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 22 citations
  Shin et al.
• A Survey On In-context Learning (2022) • Arxiv • 244 citations
  Dong et al.
• Can Language Models Learn From Explanations In Context? (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 62 citations
  Lampinen et al.
• Dynamic Prompt Learning Via Policy Gradient For Semi-structured Mathematical Reasoning (2022) • Arxiv • 41 citations
  Lu et al.
• The Unreliability Of Explanations In Few-shot Prompting For Textual Reasoning (2022) • Arxiv • 52 citations
  Xi Ye, Greg Durrett
• Learning To Retrieve Prompts For In-context Learning (2021) • Arxiv • 10 citations
  Ohad Rubin, Jonathan Herzig, Jonathan Berant
• Metaicl: Learning To Learn In Context (2021) • Arxiv • 61 citations
  Min et al.
• What Changes Can Large-scale Language Models Bring? Intensive Study On Hyperclova: Billions-scale Korean Generative Pretrained Transformers (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 43 citations
  Kim et al.
• Pangu-\(α\): Large-scale Autoregressive Pretrained Chinese Language Models With Auto-parallel Computation (2021) • Arxiv • 94 citations
  Zeng et al.

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Model Architecture 923 papers #

• Beyond Hard Masks: Progressive Token Evolution For Diffusion Language Models (2026) • No Venue
  Zhong et al.
• Behavior Knowledge Merge In Reinforced Agentic Models (2026) • No Venue
  Yuan et al.
• HERMES: KV Cache As Hierarchical Memory For Efficient Streaming Video Understanding (2026) • No Venue
  Zhang et al.
• MHLA: Restoring Expressivity Of Linear Attention Via Token-level Multi-head (2026) • No Venue
  Zhang et al.
• Unix: Unifying Autoregression And Diffusion For Chest X-ray Understanding And Generation (2026) • No Venue
  Zhang et al.
• Parallel Context-of-experts Decoding For Retrieval Augmented Generation (2026) • No Venue
  Giulio Corallo, Paolo Papotti
• K-EXAONE Technical Report (2026) • No Venue
  Choi et al.
• Stable-diffcoder: Pushing The Frontier Of Code Diffusion Large Language Model (2026) • No Venue
  Fan et al.
• SALAD: Achieve High-sparsity Attention Via Efficient Linear Attention Tuning For Video Diffusion Transformer (2026) • No Venue
  Fang et al.
• Plenoptic Video Generation (2026) • No Venue
  Fu et al.
• Unicorn: Towards Self-improving Unified Multimodal Models Through Self-generated Supervision (2026) • No Venue
  Han et al.
• Qwen3-tts Technical Report (2026) • No Venue
  Hu et al.
• Snapgen++: Unleashing Diffusion Transformers For Efficient High-fidelity Image Generation On Edge Devices (2026) • No Venue
  Hu et al.
• Videoar: Autoregressive Video Generation Via Next-frame & Scale Prediction (2026) • No Venue
  Ji et al.
• Memory-v2v: Augmenting Video-to-video Diffusion Models With Memory (2026) • No Venue
  Lee et al.
• Qwen3-vl-embedding And Qwen3-vl-reranker: A Unified Framework For State-of-the-art Multimodal Retrieval And Ranking (2026) • No Venue
  Li et al.
• Agencybench: Benchmarking The Frontiers Of Autonomous Agents In 1m-token Real-world Contexts (2026) • No Venue
  Li et al.
• Ministral 3 (2026) • No Venue
  Liu et al.
• A Bertology View Of LLM Orchestrations: Token- And Layer-selective Probes For Efficient Single-pass Classification (2026) • No Venue
  Gonzalo Ariel Meyoyan, Luciano del Corro
• Boosting Latent Diffusion Models Via Disentangled Representation Alignment (2026) • No Venue
  Page et al.
• Solar Open Technical Report (2026) • No Venue
  Park et al.
• Typhoon ASR Real-time: Fastconformer-transducer For Thai Automatic Speech Recognition (2026) • No Venue
  Sirichotedumrong et al.
• Rethinking Composed Image Retrieval Evaluation: A Fine-grained Benchmark From Image Editing (2026) • No Venue
  Song et al.
• Elastic Attention: Test-time Adaptive Sparsity Ratios For Efficient Transformers (2026) • No Venue
  Tang et al.
• Falcon-h1r: Pushing The Reasoning Frontiers With A Hybrid Model For Efficient Test-time Scaling (2026) • No Venue
  Team et al.
• Longcat-flash-thinking-2601 Technical Report (2026) • No Venue
  Team et al.
• Cof-t2i: Video Models As Pure Visual Reasoners For Text-to-image Generation (2026) • No Venue
  Tong et al.
• The Illusion Of Specialization: Unveiling The Domain-invariant "standing Committee" In Mixture-of-experts Models (2026) • No Venue
  Wang et al.
• Mimo-v2-flash Technical Report (2026) • No Venue
  Xiao et al.
• Tag-moe: Task-aware Gating For Unified Generative Mixture-of-experts (2026) • No Venue
  Xu et al.
• Hifi-sr: A Unified Generative Transformer-convolutional Adversarial Network For High-fidelity Speech Super-resolution (2025) • No Venue
  Zhao et al.
• Insights Into Deepseek-v3: Scaling Challenges And Reflections On Hardware For AI Architectures (2025) • No Venue
  Zhao et al.
• Infllm-v2: Dense-sparse Switchable Attention For Seamless Short-to-long Adaptation (2025) • No Venue
  Zhao et al.
• Marrying Autoregressive Transformer And Diffusion With Multi-reference Autoregression (2025) • No Venue
  Zhen et al.
• Ultraimage: Rethinking Resolution Extrapolation In Image Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Ultravico: Breaking Extrapolation Limits In Video Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Paroattention: Pattern-aware Reordering For Efficient Sparse And Quantized Attention In Visual Generation Models (2025) • No Venue
  Zhao et al.
• Moss-speech: Towards True Speech-to-speech Models Without Text Guidance (2025) • No Venue
  Zhao et al.
• API Agents Vs. GUI Agents: Divergence And Convergence (2025) • No Venue
  Zhang et al.
• BANG: Dividing 3D Assets Via Generative Exploded Dynamics (2025) • No Venue
  Zhang et al.
• Both Semantics And Reconstruction Matter: Making Representation Encoders Ready For Text-to-image Generation And Editing (2025) • No Venue
  Zhang et al.
• Easycontrol: Adding Efficient And Flexible Control For Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Dreamvla: A Vision-language-action Model Dreamed With Comprehensive World Knowledge (2025) • No Venue
  Zhang et al.
• Bourbaki: Self-generated And Goal-conditioned Mdps For Theorem Proving (2025) • No Venue
  Zimmer et al.
• Streaming 4D Visual Geometry Transformer (2025) • No Venue
  Zhuo et al.
• Hybridnorm: Towards Stable And Efficient Transformer Training Via Hybrid Normalization (2025) • No Venue
  Zhuo et al.
• Recursive Language Models (2025) • No Venue
  Alex L. Zhang, Tim Kraska, Omar Khattab
• Waver: Wave Your Way To Lifelike Video Generation (2025) • No Venue
  Zhang et al.
• Training-free Efficient Video Generation Via Dynamic Token Carving (2025) • No Venue
  Zhang et al.
• Tora2: Motion And Appearance Customized Diffusion Transformer For Multi-entity Video Generation (2025) • No Venue
  Zhang et al.
• Tensor Product Attention Is All You Need (2025) • No Venue
  Zhang et al.
• Efficiently Reconstructing Dynamic Scenes One D4RT At A Time (2025) • No Venue
  Zhang et al.
• Llava-mini: Efficient Image And Video Large Multimodal Models With One Vision Token (2025) • No Venue
  Zhang et al.
• Group Relative Attention Guidance For Image Editing (2025) • No Venue
  Zhang et al.
• Pretraining Frame Preservation In Autoregressive Video Memory Compression (2025) • No Venue
  Zhang et al.
• Packing Input Frame Context In Next-frame Prediction Models For Video Generation (2025) • No Venue
  Lvmin Zhang, Maneesh Agrawala
• MUG-V 10B: High-efficiency Training Pipeline For Large Video Generation Models (2025) • No Venue
  Zhang et al.
• Locality-aware Parallel Decoding For Efficient Autoregressive Image Generation (2025) • No Venue
  Zhang et al.
• Falcon-h1: A Family Of Hybrid-head Language Models Redefining Efficiency And Performance (2025) • No Venue
  Zuo et al.
• Mixture Of Experts Made Intrinsically Interpretable (2025) • No Venue
  Yang et al.
• Mtv-inpaint: Multi-task Long Video Inpainting (2025) • No Venue
  Yang et al.
• Qwen3 Technical Report (2025) • No Venue
  Yang et al.
• Dynvfx: Augmenting Real Videos With Dynamic Content (2025) • No Venue
  Yatim et al.
• Table-r1: Inference-time Scaling For Table Reasoning (2025) • No Venue
  Yang et al.
• Wikiautogen: Towards Multi-modal Wikipedia-style Article Generation (2025) • No Venue
  Yang et al.
• Through-the-mask: Mask-based Motion Trajectories For Image-to-video Generation (2025) • No Venue
  Yariv et al.
• Reconstruction Vs. Generation: Taming Optimization Dilemma In Latent Diffusion Models (2025) • No Venue
  Jingfeng Yao, Xinggang Wang
• Primitiveanything: Human-crafted 3D Primitive Assembly Generation With Auto-regressive Transformer (2025) • No Venue
  Ye et al.
• Llasa: Scaling Train-time And Inference-time Compute For Llama-based Speech Synthesis (2025) • No Venue
  Ye et al.
• Omnivinci: Enhancing Architecture And Data For Omni-modal Understanding LLM (2025) • No Venue
  Ye et al.
• Shapellm-omni: A Native Multimodal LLM For 3D Generation And Understanding (2025) • No Venue
  Ye et al.
• Worldmm: Dynamic Multimodal Memory Agent For Long Video Reasoning (2025) • No Venue
  Yeo et al.
• Mixture Of Global And Local Experts With Diffusion Transformer For Controllable Face Generation (2025) • No Venue
  Zou et al.
• Renderformer: Transformer-based Neural Rendering Of Triangle Meshes With Global Illumination (2025) • No Venue
  Zeng et al.
• Rlinf-vla: A Unified And Efficient Framework For VLA+RL Training (2025) • No Venue
  Zang et al.
• Infinity-rope: Action-controllable Infinite Video Generation Emerges From Autoregressive Self-rollout (2025) • No Venue
  Yesiltepe et al.
• Magicinfinite: Generating Infinite Talking Videos With Your Words And Voice (2025) • No Venue
  Yi et al.
• Consistedit: Highly Consistent And Precise Training-free Visual Editing (2025) • No Venue
  Yin et al.
• REASONEDIT: Towards Reasoning-enhanced Image Editing Models (2025) • No Venue
  Yin et al.
• SAIL-VL2 Technical Report (2025) • No Venue
  Yin et al.
• Training-free Text-guided Color Editing With Multi-modal Diffusion Transformer (2025) • No Venue
  Yin et al.
• 4kagent: Agentic Any Image To 4K Super-resolution (2025) • No Venue
  Zuo et al.
• Introducing Visual Perception Token Into Multimodal Large Language Model (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
• How Far Are Vlms From Visual Spatial Intelligence? A Benchmark-driven Perspective (2025) • No Venue
  Yu et al.
• Omnialpha: A Sequence-to-sequence Framework For Unified Multi-task RGBA Generation (2025) • No Venue
  Yu et al.
• Minicpm-v 4.5: Cooking Efficient Mllms Via Architecture, Data, And Training Recipe (2025) • No Venue
  Yu et al.
• Pixeldit: Pixel Diffusion Transformers For Image Generation (2025) • No Venue
  Yu et al.
• Sliding Window Attention Adaptation (2025) • No Venue
  Yu et al.
• Softpick: No Attention Sink, No Massive Activations With Rectified Softmax (2025) • No Venue
  Zayd M. K. Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
• Efficientllm: Efficiency In Large Language Models (2025) • No Venue
  Yuan et al.
• Expert Race: A Flexible Routing Strategy For Scaling Diffusion Transformer With Mixture Of Experts (2025) • No Venue
  Yuan et al.
• Native Sparse Attention: Hardware-aligned And Natively Trainable Sparse Attention (2025) • No Venue
  Yuan et al.
• Ming-flash-omni: A Sparse, Unified Architecture For Multimodal Perception And Generation (2025) • No Venue
  Ai et al.
• Minimax-m1: Scaling Test-time Compute Efficiently With Lightning Attention (2025) • No Venue
  Minimax et al.
• Kimi-audio Technical Report (2025) • No Venue
  Kimiteam et al.
• Deepseek-v3.2: Pushing The Frontier Of Open Large Language Models (2025) • No Venue
  Deepseek-Ai et al.
• Every Activation Boosted: Scaling General Reasoner To 1 Trillion Open Language Foundation (2025) • No Venue
  Ling-Team et al.
• Step-3 Is Large Yet Affordable: Model-system Co-design For Cost-effective Decoding (2025) • No Venue
  Stepfun et al.
• Nemotron 3 Nano: Open, Efficient Mixture-of-experts Hybrid Mamba-transformer Model For Agentic Reasoning (2025) • No Venue
  Nvidia et al.
• NVIDIA Nemotron Nano V2 VL (2025) • No Venue
  Nvidia et al.
• Parameters Vs Flops: Scaling Laws For Optimal Sparsity For Mixture-of-experts Language Models (2025) • No Venue
  Abnar et al.
• Gated Associative Memory: A Parallel O(N) Architecture For Efficient Sequence Modeling (2025) • No Venue
  Rishiraj Acharya
• FS-DAG: Few Shot Domain Adapting Graph Networks For Visually Rich Document Understanding (2025) • No Venue
  Amit Agarwal, Srikant Panda, Kulbhushan Pachauri
• Dico: Revitalizing Convnets For Scalable And Efficient Diffusion Modeling (2025) • No Venue
  Ai et al.
• Fine-grained Perturbation Guidance Via Attention Head Selection (2025) • No Venue
  Ahn et al.
• Physics Of Language Models: Part 4.1, Architecture Design And The Magic Of Canon Layers (2025) • No Venue
  Zeyuan Allen-Zhu
• Toksuite: Measuring The Impact Of Tokenizer Choice On Language Model Behavior (2025) • No Venue
  Altıntaş et al.
• LFM2 Technical Report (2025) • No Venue
  Amini et al.
• Flexidit: Your Diffusion Transformer Can Easily Generate High-quality Samples With Less Compute (2025) • No Venue
  Anagnostidis et al.
• Chronos-2: From Univariate To Universal Forecasting (2025) • No Venue
  Ansari et al.
• Tabstar: A Foundation Tabular Model With Semantically Target-aware Representations (2025) • No Venue
  Alan Arazi, Eilam Shapira, Roi Reichart
• Hybrid Architectures For Language Models: Systematic Analysis And Design Insights (2025) • No Venue
  Bae et al.
• Eurobert: Scaling Multilingual Encoders For European Languages (2025) • No Venue
  Boizard et al.
• Qwen3-vl Technical Report (2025) • No Venue
  Bai et al.
• Intern-s1: A Scientific Multimodal Foundation Model (2025) • No Venue
  Bai et al.
• It's All Connected: A Journey Through Test-time Memorization, Attentional Bias, Retention, And Online Optimization (2025) • No Venue
  Behrouz et al.
• ATLAS: Learning To Optimally Memorize The Context At Test Time (2025) • No Venue
  Behrouz et al.
• FFN Fusion: Rethinking Sequential Computation In Large Language Models (2025) • No Venue
  Bercovich et al.
• Reflect, Retry, Reward: Self-improving Llms Via Reinforcement Learning (2025) • No Venue
  Bensal et al.
• Gs-dit: Advancing Video Generation With Pseudo 4D Gaussian Fields Through Efficient Dense 3D Point Tracking (2025) • No Venue
  Bian et al.
• Llada2.0: Scaling Up Diffusion Language Models To 100B (2025) • No Venue
  Bie et al.
• Riemannlora: A Unified Riemannian Framework For Ambiguity-free Lora Optimization (2025) • No Venue
  Bogachev et al.
• Less Is More: Training-free Sparse Attention With Global Locality For Efficient Reasoning (2025) • No Venue
  Yang et al.
• Go-with-the-flow: Motion-controllable Video Diffusion Models Using Real-time Warped Noise (2025) • No Venue
  Burgert et al.
• Hunyuanimage 3.0 Technical Report (2025) • No Venue
  Cao et al.
• Astra: Toward General-purpose Mobile Robots Via Hierarchical Multimodal Learning (2025) • No Venue
  Chen et al.
• Blip3-o: A Family Of Fully Open Unified Multimodal Models-architecture, Training And Dataset (2025) • No Venue
  Chen et al.
• Dit-air: Revisiting The Efficiency Of Diffusion Model Architecture Design In Text To Image Generation (2025) • No Venue
  Chen et al.
• Goku: Flow Based Video Generative Foundation Models (2025) • No Venue
  Chen et al.
• LAMIC: Layout-aware Multi-image Composition Via Scalability Of Multimodal Diffusion Transformer (2025) • No Venue
  Chen et al.
• Lumosflow: Motion-guided Long Video Generation (2025) • No Venue
  Chen et al.
• Mobe: Mixture-of-basis-experts For Compressing Moe-based Llms (2025) • No Venue
  Chen et al.
• Ouroboros-diffusion: Exploring Consistent Content Generation In Tuning-free Long Video Diffusion (2025) • No Venue
  Chen et al.
• Seedance 1.5 Pro: A Native Audio-visual Joint Generation Foundation Model (2025) • No Venue
  Chen et al.
• Sana-video: Efficient Video Generation With Block Linear Diffusion Transformer (2025) • No Venue
  Chen et al.
• S^2-guidance: Stochastic Self Guidance For Training-free Enhancement Of Diffusion Models (2025) • No Venue
  Chen et al.
• Sharegpt-4o-image: Aligning Multimodal Models With Gpt-4o-level Image Generation (2025) • No Venue
  Chen et al.
• Sparse-vdit: Unleashing The Power Of Sparse Attention To Accelerate Video Diffusion Transformers (2025) • No Venue
  Chen et al.
• Stronger Normalization-free Transformers (2025) • No Venue
  Chen et al.
• WINA: Weight Informed Neuron Activation For Accelerating Large Language Model Inference (2025) • No Venue
  Chen et al.
• Gold-medalist Performance In Solving Olympiad Geometry With Alphageometry2 (2025) • No Venue
  Chervonyi et al.
• Scaling Diffusion Transformers Efficiently Via Μp (2025) • No Venue
  Zheng et al.
• Instructvla: Vision-language-action Instruction Tuning From Understanding To Manipulation (2025) • No Venue
  Yang et al.
• From Code Foundation Models To Agents And Applications: A Practical Guide To Code Intelligence (2025) • No Venue
  Yang et al.
• Fast3r: Towards 3D Reconstruction Of 1000+ Images In One Forward Pass (2025) • No Venue
  Yang et al.
• Gpt-imgeval: A Comprehensive Benchmark For Diagnosing Gpt4o In Image Generation (2025) • No Venue
  Yan et al.
• Do Phd-level Llms Truly Grasp Elementary Addition? Probing Rule Learning Vs. Memorization In Large Language Models (2025) • No Venue
  Yan et al.
• Predicting The Order Of Upcoming Tokens Improves Language Modeling (2025) • No Venue
  Zayd M. K. Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
• Muddformer: Breaking Residual Bottlenecks In Transformers Via Multiway Dynamic Dense Connections (2025) • No Venue
  Xiao et al.
• Motionstreamer: Streaming Motion Generation Via Diffusion-based Autoregressive Model In Causal Latent Space (2025) • No Venue
  Xiao et al.
• Ui-genie: A Self-improving Approach For Iteratively Boosting Mllm-based Mobile GUI Agents (2025) • No Venue
  Xiao et al.
• Aworld: Dynamic Multi-agent System With Stable Maneuvering For Robust GAIA Problem Solving (2025) • No Venue
  Xie et al.
• Reconstruction Alignment Improves Unified Multimodal Models (2025) • No Venue
  Xie et al.
• Show-o2: Improved Native Unified Multimodal Models (2025) • No Venue
  Jinheng Xie, Zhenheng Yang, Mike Zheng Shou
• Deconstructing Attention: Investigating Design Principles For Effective Language Modeling (2025) • No Venue
  Huiyin Xue, Nafise Sadat Moosavi, Nikolaos Aletras
• Gigatok: Scaling Visual Tokenizers To 3 Billion Parameters For Autoregressive Image Generation (2025) • No Venue
  Xiong et al.
• From Reflection To Perfection: Scaling Inference-time Optimization For Text-to-image Diffusion Models Via Reflection Tuning (2025) • No Venue
  Zhuo et al.
• Dense Motion Captioning (2025) • No Venue
  Xu et al.
• Easyedit2: An Easy-to-use Steering Framework For Editing Large Language Models (2025) • No Venue
  Xu et al.
• Audio-flan: A Preliminary Release (2025) • No Venue
  Xue et al.
• Timeviper: A Hybrid Mamba-transformer Vision-language Model For Efficient Long Video Understanding (2025) • No Venue
  Xu et al.
• Withanyone: Towards Controllable And ID Consistent Image Generation (2025) • No Venue
  Xu et al.
• Qwen2.5-omni Technical Report (2025) • No Venue
  Xu et al.
• The End Of Manual Decoding: Towards Truly End-to-end Language Models (2025) • No Venue
  Wang et al.
• DDT: Decoupled Diffusion Transformer (2025) • No Venue
  Wang et al.
• Chain-of-experts: Unlocking The Communication Power Of Mixture-of-experts Models (2025) • No Venue
  Wang et al.
• A Systematic Analysis Of Hybrid Linear Attention (2025) • No Venue
  Wang et al.
• Grasp Any Region: Towards Precise, Contextual Pixel Understanding For Multimodal Llms (2025) • No Venue
  Wang et al.
• Fantasyportrait: Enhancing Multi-character Portrait Animation With Expression-augmented Diffusion Transformers (2025) • No Venue
  Wang et al.
• Game-tars: Pretrained Foundation Models For Scalable Generalist Multimodal Game Agents (2025) • No Venue
  Wang et al.
• Frame In-n-out: Unbounded Controllable Image-to-video Generation (2025) • No Venue
  Wang et al.
• Mgm-omni: Scaling Omni Llms To Personalized Long-horizon Speech (2025) • No Venue
  Wang et al.
• Multishotmaster: A Controllable Multi-shot Video Generation Framework (2025) • No Venue
  Wang et al.
• Part-x-mllm: Part-aware 3D Multimodal Large Language Model (2025) • No Venue
  Wang et al.
• Pixnerd: Pixel Neural Field Diffusion (2025) • No Venue
  Wang et al.
• RECALL: Representation-aligned Catastrophic-forgetting Alleviation Via Hierarchical Model Merging (2025) • No Venue
  Wang et al.
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  Songhua Liu, Zhenxiong Tan, Xinchao Wang
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  Phillip Y. Lee, Taehoon Yoon, Minhyuk Sung
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• Beyond A*: Better Planning With Transformers Via Search Dynamics Bootstrapping (2024) • No Venue
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  Zhifei Xie, Changqiao Wu
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  Yaniv Leviathan, Matan Kalman, Yossi Matias
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• Dual3d: Efficient And Consistent Text-to-3d Generation With Dual-mode Multi-view Latent Diffusion (2024) • No Venue
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  Zichao Li, Cihang Xie, Ekin Dogus Cubuk
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• Objectmate: A Recurrence Prior For Object Insertion And Subject-driven Generation (2024) • No Venue
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  Thomas Hanwen Zhu, Ruining Li, Tomas Jakab
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  Santosh V. Patapati
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• Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder For Fast, Memory Efficient, And Long Context Finetuning And Inference (2024) • No Venue
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• Visual Context Window Extension: A New Perspective For Long Video Understanding (2024) • No Venue
  Hongchen Wei, Zhenzhong Chen
• Skywork-moe: A Deep Dive Into Training Techniques For Mixture-of-experts Language Models (2024) • No Venue
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  Ziyue Li, Tianyi Zhou
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  Shantanu Acharya, Fei Jia, Boris Ginsburg
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• Why Does The Effective Context Length Of Llms Fall Short? (2024) • No Venue
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• Expanding Performance Boundaries Of Open-source Multimodal Models With Model, Data, And Test-time Scaling (2024) • No Venue
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  Nikita Balagansky, Ian Maksimov, Daniil Gavrilov
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• Mambamixer: Efficient Selective State Space Models With Dual Token And Channel Selection (2024) • No Venue
  Ali Behrouz, Michele Santacatterina, Ramin Zabih
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• Counting Ability Of Large Language Models And Impact Of Tokenization (2024) • No Venue
  Xiang Zhang, Juntai Cao, Chenyu You
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• Ditctrl: Exploring Attention Control In Multi-modal Diffusion Transformer For Tuning-free Multi-prompt Longer Video Generation (2024) • No Venue
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• Medusa: Simple LLM Inference Acceleration Framework With Multiple Decoding Heads (2024) • No Venue
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• EVLM: An Efficient Vision-language Model For Visual Understanding (2024) • No Venue
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  Ralambomihanta et al.
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• Tinyllava: A Framework Of Small-scale Large Multimodal Models (2024) • No Venue
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• SAM 2: Segment Anything In Images And Videos (2024) • No Venue
  Ravi et al.
• Beyondscene: Higher-resolution Human-centric Scene Generation With Pretrained Diffusion (2024) • No Venue
  Kim et al.
• Mixture-of-depths: Dynamically Allocating Compute In Transformer-based Language Models (2024) • No Venue
  Raposo et al.
• Towards Universal Soccer Video Understanding (2024) • No Venue
  Rao et al.
• Trans-tokenization And Cross-lingual Vocabulary Transfers: Language Adaptation Of Llms For Low-resource NLP (2024) • No Venue
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• Self-moe: Towards Compositional Large Language Models With Self-specialized Experts (2024) • No Venue
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• Fiddler: CPU-GPU Orchestration For Fast Inference Of Mixture-of-experts Models (2024) • No Venue
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• Efficient Diffusion Transformer Policies With Mixture Of Expert Denoisers For Multitask Learning (2024) • No Venue
  Reuss et al.
• Qwen2 Technical Report (2024) • No Venue
  Yang et al.
• Your Transformer Is Secretly Linear (2024) • No Venue
  Razzhigaev et al.
• Video Depth Without Video Models (2024) • No Venue
  Ke et al.
• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
  Kelly et al.
• Gemini 1.5: Unlocking Multimodal Understanding Across Millions Of Tokens Of Context (2024) • No Venue
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• DINO-X: A Unified Vision Model For Open-world Object Detection And Understanding (2024) • No Venue
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• Samba: Simple Hybrid State Space Models For Efficient Unlimited Context Language Modeling (2024) • No Venue
  Ren et al.
• RAPTOR: Recursive Abstractive Processing For Tree-organized Retrieval (2024) • No Venue
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• Fast High-resolution Image Synthesis With Latent Adversarial Diffusion Distillation (2024) • No Venue
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• Maggie: Masked Guided Gradual Human Instance Matting (2024) • No Venue
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• Transformerfam: Feedback Attention Is Working Memory (2024) • No Venue
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• Contrastive Preference Optimization: Pushing The Boundaries Of LLM Performance In Machine Translation (2024) • No Venue
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• Open-rag: Enhanced Retrieval-augmented Reasoning With Open-source Large Language Models (2024) • No Venue
  Islam et al.
• Mixture Of Nested Experts: Adaptive Processing Of Visual Tokens (2024) • No Venue
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• ODIN: A Single Model For 2D And 3D Perception (2024) • No Venue
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• Leveraging Open Knowledge For Advancing Task Expertise In Large Language Models (2024) • No Venue
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• Proactive Detection Of Voice Cloning With Localized Watermarking (2024) • No Venue
  Roman et al.
• Pegasus-v1 Technical Report (2024) • No Venue
  Jung et al.
• Compositional Video Generation As Flow Equalization (2024) • No Venue
  Xingyi Yang, Xinchao Wang
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  Yang et al.
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  Jin et al.
• Grandmaster-level Chess Without Search (2024) • No Venue
  Ruoss et al.
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  Xing et al.
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  Ryoo et al.
• Tandem Transformers For Inference Efficient Llms (2024) • No Venue
  S et al.
• Complexity Of Symbolic Representation In Working Memory Of Transformer Correlates With The Complexity Of A Task (2024) • No Venue
  Alsu Sagirova, Mikhail Burtsev
• Mixtral Of Experts (2024) • No Venue
  Jiang et al.
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  Xu et al.
• Videohallucer: Evaluating Intrinsic And Extrinsic Hallucinations In Large Video-language Models (2024) • No Venue
  Wang et al.
• Cognitively Inspired Energy-based World Models (2024) • No Venue
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• Monoformer: One Transformer For Both Diffusion And Autoregression (2024) • No Venue
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• Towards Retrieval Augmented Generation Over Large Video Libraries (2024) • No Venue
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• Dim: Diffusion Mamba For Efficient High-resolution Image Synthesis (2024) • No Venue
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• Logah: Predicting 774-million-parameter Transformers Using Graph Hypernetworks With 1/100 Parameters (2024) • No Venue
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• Hunyuan-large: An Open-source Moe Model With 52 Billion Activated Parameters By Tencent (2024) • No Venue
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• Exvideo: Extending Video Diffusion Models Via Parameter-efficient Post-tuning (2024) • No Venue
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• Be Yourself: Bounded Attention For Multi-subject Text-to-image Generation (2024) • No Venue
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• Transformers Are Ssms: Generalized Models And Efficient Algorithms Through Structured State Space Duality (2024) • No Venue
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• Gemma 2: Improving Open Language Models At A Practical Size (2024) • No Venue
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• Livespeech: Low-latency Zero-shot Text-to-speech Via Autoregressive Modeling Of Audio Discrete Codes (2024) • No Venue
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• Git: Towards Generalist Vision Transformer Through Universal Language Interface (2024) • No Venue
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  Abdelrahman Eldesokey, Peter Wonka
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  Jainaveen Sundaram, Ravishankar Iyer
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• The Llama 3 Herd Of Models (2024) • No Venue
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• An Interactive Agent Foundation Model (2024) • No Venue
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• Transformers Can Represent N-gram Language Models (2024) • No Venue
  Anej Svete, Ryan Cotterell
• Scalable Pre-training Of Large Autoregressive Image Models (2024) • No Venue
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• Ominicontrol: Minimal And Universal Control For Diffusion Transformer (2024) • No Venue
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• Vintern-1b: An Efficient Multimodal Large Language Model For Vietnamese (2024) • No Venue
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• Lloco: Learning Long Contexts Offline (2024) • No Venue
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• Let The Expert Stick To His Last: Expert-specialized Fine-tuning For Sparse Architectural Large Language Models (2024) • No Venue
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• Docgraphlm: Documental Graph Language Model For Information Extraction (2024) • No Venue
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• Hymba: A Hybrid-head Architecture For Small Language Models (2024) • No Venue
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• FAN: Fourier Analysis Networks (2024) • No Venue
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• HART: Efficient Visual Generation With Hybrid Autoregressive Transformer (2024) • No Venue
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• On The Limits Of Agency In Agent-based Models (2024) • No Venue
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• Visionllama: A Unified Llama Interface For Vision Tasks (2024) • No Venue
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• Switti: Designing Scale-wise Transformers For Text-to-image Synthesis (2024) • No Venue
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• GALA3D: Towards Text-to-3d Complex Scene Generation Via Layout-guided Generative Gaussian Splatting (2024) • No Venue
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• Magicvideo-v2: Multi-stage High-aesthetic Video Generation (2024) • No Venue
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• Longnet: Scaling Transformers To 1,000,000,000 Tokens (2023) • No Venue
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• JARVIS-1: Open-world Multi-task Agents With Memory-augmented Multimodal Language Models (2023) • No Venue
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• Vampnet: Music Generation Via Masked Acoustic Token Modeling (2023) • No Venue
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• BTLM-3B-8K: 7B Parameter Performance In A 3B Parameter Model (2023) • No Venue
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• LDM3D-VR: Latent Diffusion Model For 3D VR (2023) • No Venue
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• Internvid: A Large-scale Video-text Dataset For Multimodal Understanding And Generation (2023) • No Venue
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• Composable Function-preserving Expansions For Transformer Architectures (2023) • No Venue
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• Flacuna: Unleashing The Problem Solving Power Of Vicuna Using FLAN Fine-tuning (2023) • No Venue
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• Mobile V-moes: Scaling Down Vision Transformers Via Sparse Mixture-of-experts (2023) • No Venue
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• Docllm: A Layout-aware Generative Language Model For Multimodal Document Understanding (2023) • No Venue
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• A Recipe For Scaling Up Text-to-video Generation With Text-free Videos (2023) • No Venue
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• Retentive Network: A Successor To Transformer For Large Language Models (2023) • No Venue
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• Alpha-clip: A CLIP Model Focusing On Wherever You Want (2023) • No Venue
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• Qmoe: Practical Sub-1-bit Compression Of Trillion-parameter Models (2023) • No Venue
  Elias Frantar, Dan Alistarh
• 3D-LFM: Lifting Foundation Model (2023) • No Venue
  Mosam Dabhi, Laszlo A. Jeni, Simon Lucey
• Sparse Autoencoders Find Highly Interpretable Features In Language Models (2023) • No Venue
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• Flashfftconv: Efficient Convolutions For Long Sequences With Tensor Cores (2023) • No Venue
  Fu et al.
• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
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• Switchhead: Accelerating Transformers With Mixture-of-experts Attention (2023) • No Venue
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• Bitnet: Scaling 1-bit Transformers For Large Language Models (2023) • No Venue
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• RMT: Retentive Networks Meet Vision Transformers (2023) • No Venue
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• Optimized Network Architectures For Large Language Model Training With Billions Of Parameters (2023) • No Venue
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• Pangu-π: Enhancing Language Model Architectures Via Nonlinearity Compensation (2023) • No Venue
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• Adaptive Shells For Efficient Neural Radiance Field Rendering (2023) • No Venue
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• Restoreformer++: Towards Real-world Blind Face Restoration From Undegraded Key-value Pairs (2023) • No Venue
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• PUMA: Secure Inference Of Llama-7b In Five Minutes (2023) • No Venue
  Dong et al.
• Hierarchical Masked 3D Diffusion Model For Video Outpainting (2023) • No Venue
  Fan et al.
• Neurons In Large Language Models: Dead, N-gram, Positional (2023) • No Venue
  Elena Voita, Javier Ferrando, Christoforos Nalmpantis
• Mamba: Linear-time Sequence Modeling With Selective State Spaces (2023) • No Venue
  Albert Gu, Tri Dao
• Zebra: Extending Context Window With Layerwise Grouped Local-global Attention (2023) • No Venue
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• Audiopalm: A Large Language Model That Can Speak And Listen (2023) • No Venue
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• Motiondirector: Motion Customization Of Text-to-video Diffusion Models (2023) • No Venue
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• DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model (2023) • No Venue
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• Motiongpt: Human Motion As A Foreign Language (2023) • No Venue
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• Randomized Positional Encodings Boost Length Generalization Of Transformers (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 14 citations
  Ruoss et al.
• Image Captioners Are Scalable Vision Learners Too (2023) • No Venue
  Tschannen et al.
• Whisper-at: Noise-robust Automatic Speech Recognizers Are Also Strong General Audio Event Taggers (2023) • No Venue
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• Emernerf: Emergent Spatial-temporal Scene Decomposition Via Self-supervision (2023) • No Venue
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• Towards Practical Capture Of High-fidelity Relightable Avatars (2023) • No Venue
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• Octopus: Embodied Vision-language Programmer From Environmental Feedback (2023) • No Venue
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• Faithful Persona-based Conversational Dataset Generation With Large Language Models (2023) • No Venue
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• Language Models In Molecular Discovery (2023) • No Venue
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• Mosaic-sdf For 3D Generative Models (2023) • No Venue
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• Large Language Models Are Versatile Decomposers: Decompose Evidence And Questions For Table-based Reasoning (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 53 citations
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• Ip-adapter: Text Compatible Image Prompt Adapter For Text-to-image Diffusion Models (2023) • No Venue
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• TEAL: Tokenize And Embed ALL For Multi-modal Large Language Models (2023) • No Venue
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• RAVEN: In-context Learning With Retrieval Augmented Encoder-decoder Language Models (2023) • No Venue
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• Weight Subcloning: Direct Initialization Of Transformers Using Larger Pretrained Ones (2023) • No Venue
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• I2v-adapter: A General Image-to-video Adapter For Video Diffusion Models (2023) • No Venue
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• SOLAR 10.7B: Scaling Large Language Models With Simple Yet Effective Depth Up-scaling (2023) • No Venue
  Kim et al.
• Cotracker: It Is Better To Track Together (2023) • No Venue
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• Focused Transformer: Contrastive Training For Context Scaling (2023) • No Venue
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• Memory Augmented Language Models Through Mixture Of Word Experts (2023) • No Venue
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• Text2control3d: Controllable 3D Avatar Generation In Neural Radiance Fields Using Geometry-guided Text-to-image Diffusion Model (2023) • No Venue
  Sungwon Hwang, Junha Hyung, Jaegul Choo
• GIVT: Generative Infinite-vocabulary Transformers (2023) • No Venue
  Michael Tschannen, Cian Eastwood, Fabian Mentzer
• A Paradigm Shift In Machine Translation: Boosting Translation Performance Of Large Language Models (2023) • No Venue
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• A Real-world Webagent With Planning, Long Context Understanding, And Program Synthesis (2023) • No Venue
  Gur et al.
• Sketch-a-shape: Zero-shot Sketch-to-3d Shape Generation (2023) • No Venue
  Sanghi et al.
• INVE: Interactive Neural Video Editing (2023) • No Venue
  Huang et al.
• LARP: Language-agent Role Play For Open-world Games (2023) • No Venue
  Yan et al.
• Cached Transformers: Improving Transformers With Differentiable Memory Cache (2023) • No Venue
  Zhang et al.
• Statler: State-maintaining Language Models For Embodied Reasoning (2023) • No Venue
  Yoneda et al.
• Memorybank: Enhancing Large Language Models With Long-term Memory (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 88 citations
  Zhong et al.
• Cogagent: A Visual Language Model For GUI Agents (2023) • No Venue
  Hong et al.
• Segment And Caption Anything (2023) • No Venue
  Huang et al.
• Multimodal Neurons In Pretrained Text-only Transformers (2023) • No Venue
  Sarah Schwettmann, Neil Chowdhury, Antonio Torralba
• Motionlm: Multi-agent Motion Forecasting As Language Modeling (2023) • No Venue
  Seff et al.
• Fastervit: Fast Vision Transformers With Hierarchical Attention (2023) • No Venue
  Hatamizadeh et al.
• REPLUG: Retrieval-augmented Black-box Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 91 citations
  Shi et al.
• Gentron: Delving Deep Into Diffusion Transformers For Image And Video Generation (2023) • No Venue
  Chen et al.
• Extending Context Window Of Large Language Models Via Positional Interpolation (2023) • No Venue
  Chen et al.
• CLEX: Continuous Length Extrapolation For Large Language Models (2023) • No Venue
  Chen et al.
• Beyond Surface: Probing Llama Across Scales And Layers (2023) • No Venue
  Chen et al.
• Animatezero: Video Diffusion Models Are Zero-shot Image Animators (2023) • No Venue
  Yu et al.
• SILO Language Models: Isolating Legal Risk In A Nonparametric Datastore (2023) • No Venue
  Min et al.
• Sherpa3d: Boosting High-fidelity Text-to-3d Generation Via Coarse 3D Prior (2023) • No Venue
  Liu et al.
• Videopoet: A Large Language Model For Zero-shot Video Generation (2023) • No Venue
  Kondratyuk et al.
• Dreamhuman: Animatable 3D Avatars From Text (2023) • No Venue
  Kolotouros et al.
• Emergence Of Segmentation With Minimalistic White-box Transformers (2023) • No Venue
  Yu et al.
• From Sparse To Soft Mixtures Of Experts (2023) • No Venue
  Puigcerver et al.
• Robot Learning With Sensorimotor Pre-training (2023) • No Venue
  Radosavovic et al.
• Freecontrol: Training-free Spatial Control Of Any Text-to-image Diffusion Model With Any Condition (2023) • No Venue
  Mo et al.
• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 90 citations
  Lu et al.
• Unified-io 2: Scaling Autoregressive Multimodal Models With Vision, Language, Audio, And Action (2023) • No Venue
  Lu et al.
• Merlin:empowering Multimodal Llms With Foresight Minds (2023) • No Venue
  Yu et al.
• Pg-video-llava: Pixel Grounding Large Video-language Models (2023) • No Venue
  Munasinghe et al.
• Text Rendering Strategies For Pixel Language Models (2023) • No Venue
  Lotz et al.
• Quantizable Transformers: Removing Outliers By Helping Attention Heads Do Nothing (2023) • No Venue
  Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
• Rethinking Attention: Exploring Shallow Feed-forward Neural Networks As An Alternative To Attention Layers In Transformers (2023) • No Venue
  Bozic et al.
• Soundstorm: Efficient Parallel Audio Generation (2023) • No Venue
  Borsos et al.
• Drugchat: Towards Enabling Chatgpt-like Capabilities On Drug Molecule Graphs (2023) • No Venue
  Liang et al.
• Stemgen: A Music Generation Model That Listens (2023) • No Venue
  Parker et al.
• Nougat: Neural Optical Understanding For Academic Documents (2023) • No Venue
  Blecher et al.
• Dual-stream Diffusion Net For Text-to-video Generation (2023) • No Venue
  Liu et al.
• Customnet: Zero-shot Object Customization With Variable-viewpoints In Text-to-image Diffusion Models (2023) • No Venue
  Yuan et al.
• Video-llama: An Instruction-tuned Audio-visual Language Model For Video Understanding (2023) • No Venue
  Hang Zhang, Xin Li, Lidong Bing
• Kosmos-2.5: A Multimodal Literate Model (2023) • No Venue
  Lv et al.
• Deepcache: Accelerating Diffusion Models For Free (2023) • No Venue
  Xinyin Ma, Gongfan Fang, Xinchao Wang
• Matcha-tts: A Fast TTS Architecture With Conditional Flow Matching (2023) • No Venue
  Mehta et al.
• System 2 Attention (is Something You Might Need Too) (2023) • No Venue
  Jason Weston, Sainbayar Sukhbaatar
• Langsplat: 3D Language Gaussian Splatting (2023) • No Venue
  Qin et al.
• Meta-transformer: A Unified Framework For Multimodal Learning (2023) • No Venue
  Zhang et al.
• Dreamdiffusion: Generating High-quality Images From Brain EEG Signals (2023) • No Venue
  Bai et al.
• Next-chat: An LMM For Chat, Detection And Segmentation (2023) • No Venue
  Zhang et al.
• Loop Copilot: Conducting AI Ensembles For Music Generation And Iterative Editing (2023) • No Venue
  Zhang et al.
• The Hydra Effect: Emergent Self-repair In Language Model Computations (2023) • No Venue
  McGrath et al.
• One Wide Feedforward Is All You Need (2023) • No Venue
  Pires et al.
• Orthogonal Adaptation For Modular Customization Of Diffusion Models (2023) • No Venue
  Po et al.
• CCM: Adding Conditional Controls To Text-to-image Consistency Models (2023) • No Venue
  Xiao et al.
• Openba: An Open-sourced 15B Bilingual Asymmetric Seq2seq Model Pre-trained From Scratch (2023) • No Venue
  Li et al.
• Visual In-context Prompting (2023) • No Venue
  Li et al.
• Fusionframes: Efficient Architectural Aspects For Text-to-video Generation Pipeline (2023) • No Venue
  Arkhipkin et al.
• Domain-agnostic Tuning-encoder For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Arar et al.
• Kandinsky 3.0 Technical Report (2023) • No Venue
  Arkhipkin et al.
• Video Instance Matting (2023) • No Venue
  Li et al.
• Next-gpt: Any-to-any Multimodal LLM (2023) • No Venue
  Wu et al.
• Videodirectorgpt: Consistent Multi-scene Video Generation Via Llm-guided Planning (2023) • No Venue
  Lin et al.
• Univtg: Towards Unified Video-language Temporal Grounding (2023) • No Venue
  Lin et al.
• Mirasol3b: A Multimodal Autoregressive Model For Time-aligned And Contextual Modalities (2023) • No Venue
  Piergiovanni et al.
• RWKV: Reinventing Rnns For The Transformer Era (2023) • No Venue
  Peng et al.
• No Language Left Behind: Scaling Human-centered Machine Translation (2022) • Arxiv • 354 citations
  Team et al.
• Alexatm 20B: Few-shot Learning Using A Large-scale Multilingual Seq2seq Model (2022) • Arxiv • 38 citations
  Soltan et al.
• Multitask Prompted Training Enables Zero-shot Task Generalization (2021) • Arxiv • 560 citations
  Sanh et al.
• CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) • AI Open • 52 citations
  Zhang et al.
• Mt5: A Massively Multilingual Pre-trained Text-to-text Transformer (2020) • Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 666 citations
  Xue et al.
• Gshard: Scaling Giant Models With Conditional Computation And Automatic Sharding (2020) • Arxiv • 347 citations
  Lepikhin et al.
• Probing Pretrained Language Models For Lexical Semantics (2020) • Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) • 55 citations
  Vulić et al.
• Attention Is All You Need (2017) • Arxiv • 6472 citations
  Vaswani et al.

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Prompting 273 papers #

• PROGRESSLM: Towards Progress Reasoning In Vision-language Models (2026) • No Venue
  Zhang et al.
• Cov: Chain-of-view Prompting For Spatial Reasoning (2026) • No Venue
  Zhao et al.
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Medical SAM3: A Foundation Model For Universal Prompt-driven Medical Image Segmentation (2026) • No Venue
  Jiang et al.
• Controllable Memory Usage: Balancing Anchoring And Innovation In Long-term Human-agent Interaction (2026) • No Venue
  Tian et al.
• Robovip: Multi-view Video Generation With Visual Identity Prompting Augments Robot Manipulation (2026) • No Venue
  Wang et al.
• Render-of-thought: Rendering Textual Chain-of-thought As Images For Visual Latent Reasoning (2026) • No Venue
  Wang et al.
• Is Chain-of-thought Reasoning Of Llms A Mirage? A Data Distribution Lens (2025) • No Venue
  Zhao et al.
• Vlm^2-bench: A Closer Look At How Well Vlms Implicitly Link Explicit Matching Visual Cues (2025) • No Venue
  Zhang et al.
• Verbalized Sampling: How To Mitigate Mode Collapse And Unlock LLM Diversity (2025) • No Venue
  Zhang et al.
• In-context Edit: Enabling Instructional Image Editing With In-context Generation In Large Scale Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Prompt Orchestration Markup Language (2025) • No Venue
  Zhang et al.
• Pixel-sail: Single Transformer For Pixel-grounded Understanding (2025) • No Venue
  Zhang et al.
• MARS: A Multi-agent Framework Incorporating Socratic Guidance For Automated Prompt Optimization (2025) • No Venue
  Zhang et al.
• Optimizing Chain-of-thought Reasoners Via Gradient Variance Minimization In Rejection Sampling And RL (2025) • No Venue
  Yao et al.
• Hallucinations Can Improve Large Language Models In Drug Discovery (2025) • No Venue
  Shuzhou Yuan, Michael Färber
• Large Language Model Guided Self-debugging Code Generation (2025) • No Venue
  Muntasir Adnan, Zhiwei Xu, Carlos C. N. Kuhn
• Sketch-of-thought: Efficient LLM Reasoning With Adaptive Cognitive-inspired Sketching (2025) • No Venue
  Simon A. Aytes, Jinheon Baek, Sung Ju Hwang
• Multi-domain Explainability Of Preferences (2025) • No Venue
  Nitay Calderon, Liat Ein-Dor, Roi Reichart
• Microvqa: A Multimodal Reasoning Benchmark For Microscopy-based Scientific Research (2025) • No Venue
  Burgess et al.
• Blip3-o: A Family Of Fully Open Unified Multimodal Models-architecture, Training And Dataset (2025) • No Venue
  Chen et al.
• Iterresearch: Rethinking Long-horizon Agents Via Markovian State Reconstruction (2025) • No Venue
  Chen et al.
• From Code Foundation Models To Agents And Applications: A Practical Guide To Code Intelligence (2025) • No Venue
  Yang et al.
• Multimodal Inconsistency Reasoning (MMIR): A New Benchmark For Multimodal Reasoning Models (2025) • No Venue
  Yan et al.
• Logic-rl: Unleashing LLM Reasoning With Rule-based Reinforcement Learning (2025) • No Venue
  Xie et al.
• Can Large Vision Language Models Read Maps Like A Human? (2025) • No Venue
  Xing et al.
• From Reflection To Perfection: Scaling Inference-time Optimization For Text-to-image Diffusion Models Via Reflection Tuning (2025) • No Venue
  Zhuo et al.
• Biasfreebench: A Benchmark For Mitigating Bias In Large Language Model Responses (2025) • No Venue
  Xu et al.
• Reasongen-r1: Cot For Autoregressive Image Generation Models Through SFT And RL (2025) • No Venue
  Zhang et al.
• Evolving Prompts In-context: An Open-ended, Self-replicating Perspective (2025) • No Venue
  Jianyu Wang, Zhiqiang Hu, Lidong Bing
• Temporal Self-rewarding Language Models: Decoupling Chosen-rejected Via Past-future (2025) • No Venue
  Wang et al.
• Generative AI Act II: Test Time Scaling Drives Cognition Engineering (2025) • No Venue
  Xia et al.
• Visionary-r1: Mitigating Shortcuts In Visual Reasoning With Reinforcement Learning (2025) • No Venue
  Xia et al.
• What Generative Search Engines Like And How To Optimize Web Content Cooperatively (2025) • No Venue
  Wu et al.
• Effectively Controlling Reasoning Models Through Thinking Intervention (2025) • No Venue
  Wu et al.
• Webagent-r1: Training Web Agents Via End-to-end Multi-turn Reinforcement Learning (2025) • No Venue
  Wei et al.
• Cotox: Chain-of-thought-based Molecular Toxicity Reasoning And Prediction (2025) • No Venue
  Park et al.
• Fine-grained Detection Of Context-grounded Hallucinations Using Llms (2025) • No Venue
  Peisakhovsky et al.
• Vibe Coding Vs. Agentic Coding: Fundamentals And Practical Implications Of Agentic AI (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Agentrxiv: Towards Collaborative Autonomous Research (2025) • No Venue
  Samuel Schmidgall, Michael Moor
• Leveraging Large Language Models For Predictive Analysis Of Human Misery (2025) • No Venue
  Seal et al.
• Constitutional Classifiers: Defending Against Universal Jailbreaks Across Thousands Of Hours Of Red Teaming (2025) • No Venue
  Sharma et al.
• Deep Research: A Systematic Survey (2025) • No Venue
  Shi et al.
• SAM Audio: Segment Anything In Audio (2025) • No Venue
  Shi et al.
• Guided Decoding And Its Critical Role In Retrieval-augmented Generation (2025) • No Venue
  Uğur et al.
• Measuring General Intelligence With Generated Games (2025) • No Venue
  Verma et al.
• Enhancing Step-by-step And Verifiable Medical Reasoning In Mllms (2025) • No Venue
  Sun et al.
• Au-harness: An Open-source Toolkit For Holistic Evaluation Of Audio Llms (2025) • No Venue
  Surapaneni et al.
• Earthmind: Towards Multi-granular And Multi-sensor Earth Observation With Large Multimodal Models (2025) • No Venue
  Shu et al.
• System Prompt Optimization With Meta-learning (2025) • No Venue
  Yumin Choi, Jinheon Baek, Sung Ju Hwang
• Tool-star: Empowering Llm-brained Multi-tool Reasoner Via Reinforcement Learning (2025) • No Venue
  Dong et al.
• Evaluating Podcast Recommendations With Profile-aware Llm-as-a-judge (2025) • No Venue
  Fabbri et al.
• SSRL: Self-search Reinforcement Learning (2025) • No Venue
  Fan et al.
• Flux-reason-6m & Prism-bench: A Million-scale Text-to-image Reasoning Dataset And Comprehensive Benchmark (2025) • No Venue
  Fang et al.
• PHYSICS: Benchmarking Foundation Models On University-level Physics Problem Solving (2025) • No Venue
  Feng et al.
• Square: Sequential Question Answering Reasoning Engine For Enhanced Chain-of-thought In Large Language Models (2025) • No Venue
  Fleischer et al.
• Imperceptible Jailbreaking Against Large Language Models (2025) • No Venue
  Gao et al.
• RAPO++: Cross-stage Prompt Optimization For Text-to-video Generation Via Data Alignment And Test-time Scaling (2025) • No Venue
  Gao et al.
• Latcoder: Converting Webpage Design To Code With Layout-as-thought (2025) • No Venue
  Gui et al.
• Thinking-while-generating: Interleaving Textual Reasoning Throughout Visual Generation (2025) • No Venue
  Guo et al.
• Beyond The Last Answer: Your Reasoning Trace Uncovers More Than You Think (2025) • No Venue
  Hasan Abed Al Kader Hammoud, Hani Itani, Bernard Ghanem
• Cut2next: Generating Next Shot Via In-context Tuning (2025) • No Venue
  He et al.
• Decomposed Attention Fusion In Mllms For Training-free Video Reasoning Segmentation (2025) • No Venue
  Han et al.
• Omni-rgpt: Unifying Image And Video Region-level Understanding Via Token Marks (2025) • No Venue
  Heo et al.
• Jailbreaking With Universal Multi-prompts (2025) • No Venue
  Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen
• Cos: Chain-of-shot Prompting For Long Video Understanding (2025) • No Venue
  Hu et al.
• Loong: Synthesize Long Chain-of-thoughts At Scale Through Verifiers (2025) • No Venue
  Huang et al.
• Detect Anything Via Next Point Prediction (2025) • No Venue
  Jiang et al.
• T2I-R1: Reinforcing Image Generation With Collaborative Semantic-level And Token-level Cot (2025) • No Venue
  Jiang et al.
• Mme-cot: Benchmarking Chain-of-thought In Large Multimodal Models For Reasoning Quality, Robustness, And Efficiency (2025) • No Venue
  Jiang et al.
• Search-r1: Training Llms To Reason And Leverage Search Engines With Reinforcement Learning (2025) • No Venue
  Jin et al.
• Distilling LLM Agent Into Small Models With Retrieval And Code Tools (2025) • No Venue
  Kang et al.
• Taming Generative Video Models For Zero-shot Optical Flow Extraction (2025) • No Venue
  Kim et al.
• Rethinking Prompt Design For Inference-time Scaling In Text-to-visual Generation (2025) • No Venue
  Kim et al.
• Opentslm: Time-series Language Models For Reasoning Over Multivariate Medical Text- And Time-series Data (2025) • No Venue
  Langer et al.
• From Token To Action: State Machine Reasoning To Mitigate Overthinking In Information Retrieval (2025) • No Venue
  Dohyeon Lee, Yeonseok Jeong, Seung-Won Hwang
• 4D Langsplat: 4D Language Gaussian Splatting Via Multimodal Large Language Models (2025) • No Venue
  Li et al.
• START: Self-taught Reasoner With Tools (2025) • No Venue
  Li et al.
• Syzygy Of Thoughts: Improving LLM Cot With The Minimal Free Resolution (2025) • No Venue
  Li et al.
• Machine Bullshit: Characterizing The Emergent Disregard For Truth In Large Language Models (2025) • No Venue
  Liang et al.
• Fractured Chain-of-thought Reasoning (2025) • No Venue
  Liao et al.
• Metaladder: Ascending Mathematical Solution Quality Via Analogical-problem Reasoning Transfer (2025) • No Venue
  Lin et al.
• Can World Simulators Reason? Gen-vire: A Generative Visual Reasoning Benchmark (2025) • No Venue
  Liu et al.
• Yochameleon: Personalized Vision And Language Generation (2025) • No Venue
  Nguyen et al.
• The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks And Prompt Injections (2025) • No Venue
  Nasr et al.
• Hot: Highlighted Chain Of Thought For Referencing Supporting Facts From Inputs (2025) • No Venue
  Nguyen et al.
• Easy Dataset: A Unified And Extensible Framework For Synthesizing LLM Fine-tuning Data From Unstructured Documents (2025) • No Venue
  Miao et al.
• Position Of Uncertainty: A Cross-linguistic Study Of Positional Bias In Large Language Models (2025) • No Venue
  Mikhail et al.
• LLM As A Broken Telephone: Iterative Generation Distorts Information (2025) • No Venue
  Mohamed et al.
• Promptomatix: An Automatic Prompt Optimization Framework For Large Language Models (2025) • No Venue
  Murthy et al.
• Leveraging Self-attention For Input-dependent Soft Prompting In Llms (2025) • No Venue
  Ananth Muppidi, Abhilash Nandy, Sambaran Bandyopadhyay
• What Makes A Good Natural Language Prompt? (2025) • No Venue
  Long et al.
• Adacot: Pareto-optimal Adaptive Chain-of-thought Triggering Via Reinforcement Learning (2025) • No Venue
  Lou et al.
• Reasoning Models Can Be Effective Without Thinking (2025) • No Venue
  Ma et al.
• Deep Self-evolving Reasoning (2025) • No Venue
  Liu et al.
• Metafaith: Faithful Natural Language Uncertainty Expression In Llms (2025) • No Venue
  Liu et al.
• Rectifying LLM Thought From Lens Of Optimization (2025) • No Venue
  Liu et al.
• Can Llms Learn By Teaching? A Preliminary Study (2024) • No Venue
  Ning et al.
• PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge For Vlms (2024) • No Venue
  Nasiriany et al.
• User-llm: Efficient LLM Contextualization With User Embeddings (2024) • No Venue
  Ning et al.
• ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning (2024) • No Venue
  Mower et al.
• Videodrafter: Content-consistent Multi-scene Video Generation With LLM (2024) • No Venue
  Long et al.
• From Medprompt To O1: Exploration Of Run-time Strategies For Medical Challenge Problems And Beyond (2024) • No Venue
  Nori et al.
• Discovering Preference Optimization Algorithms With And For Large Language Models (2024) • No Venue
  Lu et al.
• Can Large Language Models Explore In-context? (2024) • No Venue
  Krishnamurthy et al.
• Whiteboard-of-thought: Thinking Step-by-step Across Modalities (2024) • No Venue
  Sachit Menon, Richard Zemel, Carl Vondrick
• Aria Everyday Activities Dataset (2024) • No Venue
  Lv et al.
• Improving Text-to-image Consistency Via Automatic Prompt Optimization (2024) • No Venue
  Mañas et al.
• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
  McKinzie et al.
• Prompting Depth Anything For 4K Resolution Accurate Metric Depth Estimation (2024) • No Venue
  Lin et al.
• Mind Your Step (by Step): Chain-of-thought Can Reduce Performance On Tasks Where Thinking Makes Humans Worse (2024) • No Venue
  Liu et al.
• Coarse Correspondence Elicit 3D Spacetime Understanding In Multimodal Language Model (2024) • No Venue
  Liu et al.
• Diffusiongpt: Llm-driven Text-to-image Generation System (2024) • No Venue
  Qin et al.
• Anim-director: A Large Multimodal Model Powered Agent For Controllable Animation Video Generation (2024) • No Venue
  Li et al.
• Promptriever: Instruction-trained Retrievers Can Be Prompted Like Language Models (2024) • No Venue
  Weller et al.
• Beyond Examples: High-level Automated Reasoning Paradigm In In-context Learning Via MCTS (2024) • No Venue
  Wu et al.
• Compositional 3d-aware Video Generation With LLM Director (2024) • No Venue
  Zhu et al.
• Turboedit: Instant Text-based Image Editing (2024) • No Venue
  Wu et al.
• Inst-it: Boosting Multimodal Instance Understanding Via Explicit Visual Prompt Instruction Tuning (2024) • No Venue
  Peng et al.
• Advprompter: Fast Adaptive Adversarial Prompting For Llms (2024) • No Venue
  Paulus et al.
• Spinning The Golden Thread: Benchmarking Long-form Generation In Language Models (2024) • No Venue
  Wu et al.
• Socialgpt: Prompting Llms For Social Relation Reasoning Via Greedy Segment Optimization (2024) • No Venue
  Li et al.
• Vmix: Improving Text-to-image Diffusion Model With Cross-attention Mixing Control (2024) • No Venue
  Wu et al.
• Visfocus: Prompt-guided Vision Encoders For Ocr-free Dense Document Understanding (2024) • No Venue
  Abramovich et al.
• Dilightnet: Fine-grained Lighting Control For Diffusion-based Image Generation (2024) • No Venue
  Zeng et al.
• DOTS: Learning To Reason Dynamically In Llms Via Optimal Reasoning Trajectories Search (2024) • No Venue
  Yue et al.
• Inference Scaling For Long-context Retrieval Augmented Generation (2024) • No Venue
  Yue et al.
• Notellm: A Retrievable Large Language Model For Note Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
  Zhang et al.
• From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning (2024) • No Venue
  Bai et al.
• Self-rewarding Language Models (2024) • No Venue
  Yuan et al.
• Perception Tokens Enhance Visual Reasoning In Multimodal Language Models (2024) • No Venue
  Bigverdi et al.
• EVF-SAM: Early Vision-language Fusion For Text-prompted Segment Anything Model (2024) • No Venue
  Zhang et al.
• ROCKET-1: Master Open-world Interaction With Visual-temporal Context Prompting (2024) • No Venue
  Cai et al.
• Enhancing Recommendation Diversity By Re-ranking With Large Language Models (2024) • ACM Transactions on Recommender Systems • 25 citations
  Diego Carraro, Derek Bridge
• Bringing Objects To Life: 4D Generation From 3D Objects (2024) • No Venue
  Rahamim et al.
• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
  Kelly et al.
• RALL-E: Robust Codec Language Modeling With Chain-of-thought Prompting For Text-to-speech Synthesis (2024) • No Venue
  Xin et al.
• Self-harmonized Chain Of Thought (2024) • No Venue
  Ziqi Jin, Wei Lu
• Ipadapter-instruct: Resolving Ambiguity In Image-based Conditioning Using Instruct Prompts (2024) • No Venue
  Rowles et al.
• E5-V: Universal Embeddings With Multimodal Large Language Models (2024) • No Venue
  Jiang et al.
• LML: Language Model Learning A Dataset For Data-augmented Prediction (2024) • No Venue
  Praneeth Vadlapati
• Audio Dialogues: Dialogues Dataset For Audio And Music Understanding (2024) • No Venue
  Goel et al.
• Moma: Multimodal LLM Adapter For Fast Personalized Image Generation (2024) • No Venue
  Song et al.
• Openmathinstruct-1: A 1.8 Million Math Instruction Tuning Dataset (2024) • No Venue
  Toshniwal et al.
• Sam2point: Segment Any 3D As Videos In Zero-shot And Promptable Manners (2024) • No Venue
  Guo et al.
• Magpie: Alignment Data Synthesis From Scratch By Prompting Aligned Llms With Nothing (2024) • No Venue
  Xu et al.
• The Prompt Report: A Systematic Survey Of Prompting Techniques (2024) • No Venue
  Schulhoff et al.
• List Items One By One: A New Data Source And Learning Paradigm For Multimodal Llms (2024) • No Venue
  Yan et al.
• To Believe Or Not To Believe Your LLM (2024) • No Venue
  Yadkori et al.
• Vidprom: A Million-scale Real Prompt-gallery Dataset For Text-to-video Diffusion Models (2024) • No Venue
  Wenhao Wang, Yi Yang
• Design2code: How Far Are We From Automating Front-end Engineering? (2024) • No Venue
  Si et al.
• Keyframer: Empowering Animation Design Using Large Language Models (2024) • No Venue
  Tiffany Tseng, Ruijia Cheng, Jeffrey Nichols
• Token-budget-aware LLM Reasoning (2024) • No Venue
  Han et al.
• Positionid: Llms Can Control Lengths, Copy And Paste With Explicit Positional Awareness (2024) • No Venue
  Wang et al.
• Large-scale Text-to-image Model With Inpainting Is A Zero-shot Subject-driven Image Generator (2024) • No Venue
  Shin et al.
• Mm-ego: Towards Building Egocentric Multimodal Llms (2024) • No Venue
  Ye et al.
• Omnicreator: Self-supervised Unified Generation With Universal Editing (2024) • No Venue
  Chen et al.
• Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery (2024) • No Venue
  Chen et al.
• Training-free Regional Prompting For Diffusion Transformers (2024) • No Venue
  Chen et al.
• In-context Principle Learning From Mistakes (2024) • No Venue
  Zhang et al.
• PAS: Data-efficient Plug-and-play Prompt Augmentation System (2024) • No Venue
  Zheng et al.
• Ghostwriter: Augmenting Collaborative Human-ai Writing Experiences Through Personalization And Agency (2024) • No Venue
  Yeh et al.
• Physics Of Language Models: Part 2.2, How To Learn From Mistakes On Grade-school Math Problems (2024) • No Venue
  Ye et al.
• Easyref: Omni-generalized Group Image Reference For Diffusion Models Via Multimodal LLM (2024) • No Venue
  Zong et al.
• Beyond Fine-tuning: Unleashing The Potential Of Continuous Pretraining For Clinical Llms (2024) • No Venue
  Christophe et al.
• Minstrel: Structural Prompt Generation With Multi-agents Coordination For Non-ai Experts (2024) • No Venue
  Wang et al.
• Toward Self-improvement Of Llms Via Imagination, Searching, And Criticizing (2024) • No Venue
  Tian et al.
• To Cot Or Not To Cot? Chain-of-thought Helps Mainly On Math And Symbolic Reasoning (2024) • No Venue
  Sprague et al.
• BRIGHT: A Realistic And Challenging Benchmark For Reasoning-intensive Retrieval (2024) • No Venue
  Su et al.
• RLVF: Learning From Verbal Feedback Without Overgeneralization (2024) • No Venue
  Stephan et al.
• Comfygen: Prompt-adaptive Workflows For Text-to-image Generation (2024) • No Venue
  Gal et al.
• In-context Imitation Learning Via Next-token Prediction (2024) • No Venue
  Fu et al.
• Natural Language Reinforcement Learning (2024) • No Venue
  Feng et al.
• Can Small Language Models Be Good Reasoners For Sequential Recommendation? (2024) • WWW '24: The ACM Web Conference 2024 • 25 citations
  Wang et al.
• Meta-prompting: Enhancing Language Models With Task-agnostic Scaffolding (2024) • No Venue
  Mirac Suzgun, Adam Tauman Kalai
• Retrievegpt: Merging Prompts And Mathematical Models For Enhanced Code-mixed Information Retrieval (2024) • No Venue
  Aniket Deroy, Subhankar Maity
• Zero-shot Next-item Recommendation Using Large Pretrained Language Models (2023) • Arxiv • 22 citations
  Lei Wang, Ee-Peng Lim
• Active Prompting With Chain-of-thought For Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 28 citations
  Diao et al.
• Everything Of Thoughts: Defying The Law Of Penrose Triangle For Thought Generation (2023) • No Venue
  Ding et al.
• Vampnet: Music Generation Via Masked Acoustic Token Modeling (2023) • No Venue
  Garcia et al.
• Chatgpt For Robotics: Design Principles And Model Abilities (2023) • No Venue
  Vemprala et al.
• Sql-palm: Improved Large Language Modeladaptation For Text-to-sql (2023) • No Venue
  Sun et al.
• Voyager: An Open-ended Embodied Agent With Large Language Models (2023) • No Venue
  Wang et al.
• Enable Language Models To Implicitly Learn Self-improvement From Data (2023) • No Venue
  Wang et al.
• Codechain: Towards Modular Code Generation Through Chain Of Self-revisions With Representative Sub-modules (2023) • No Venue
  Le et al.
• Language Models Can Be Logical Solvers (2023) • No Venue
  Feng et al.
• Large Language Models In The Workplace: A Case Study On Prompt Engineering For Job Type Classification (2023) • Lecture Notes in Computer Science • 47 citations
  Clavié et al.
• Prompting Large Language Models With Speech Recognition Abilities (2023) • No Venue
  Fathullah et al.
• Audiobox: Unified Audio Generation With Natural Language Prompts (2023) • No Venue
  Vyas et al.
• Reasoning Implicit Sentiment With Chain-of-thought Prompting (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 83 citations
  Fei et al.
• Unleashing Cognitive Synergy In Large Language Models: A Task-solving Agent Through Multi-persona Self-collaboration (2023) • No Venue
  Wang et al.
• Llm4vis: Explainable Visualization Recommendation Using Chatgpt (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 23 citations
  Wang et al.
• Struc-bench: Are Large Language Models Really Good At Generating Complex Structured Data? (2023) • No Venue
  Tang et al.
• Pathfinder: Guided Search Over Multi-step Reasoning Paths (2023) • No Venue
  Golovneva et al.
• Freshllms: Refreshing Large Language Models With Search Engine Augmentation (2023) • No Venue
  Vu et al.
• Large Language Models As Optimizers (2023) • No Venue
  Yang et al.
• Antgpt: Can Large Language Models Help Long-term Action Anticipation From Videos? (2023) • No Venue
  Zhao et al.
• Dreamdistribution: Prompt Distribution Learning For Text-to-image Diffusion Models (2023) • No Venue
  Zhao et al.
• Contrastive Chain-of-thought Prompting (2023) • No Venue
  Chia et al.
• Visual Chain Of Thought: Bridging Logical Gaps With Multimodal Infillings (2023) • Arxiv • 10 citations
  Rose et al.
• Motiongpt: Human Motion As A Foreign Language (2023) • No Venue
  Jiang et al.
• Solving Challenging Math Word Problems Using GPT-4 Code Interpreter With Code-based Self-verification (2023) • No Venue
  Zhou et al.
• How Far Are Large Language Models From Agents With Theory-of-mind? (2023) • No Venue
  Zhou et al.
• Neuroprompts: An Adaptive Framework To Optimize Prompts For Text-to-image Generation (2023) • No Venue
  Shachar Rosenman, Vasudev Lal, Phillip Howard
• Tab-cot: Zero-shot Tabular Chain Of Thought (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 12 citations
  Ziqi Jin, Wei Lu
• Adapting Large Language Models Via Reading Comprehension (2023) • No Venue
  Daixuan Cheng, Shaohan Huang, Furu Wei
• Vision-language Models Are Zero-shot Reward Models For Reinforcement Learning (2023) • No Venue
  Rocamonde et al.
• Large Language Models As Analogical Reasoners (2023) • No Venue
  Yasunaga et al.
• Tree Of Thoughts: Deliberate Problem Solving With Large Language Models (2023) • No Venue
  Yao et al.
• To See Is To Believe: Prompting GPT-4V For Better Visual Instruction Tuning (2023) • No Venue
  Wang et al.
• Set-of-mark Prompting Unleashes Extraordinary Visual Grounding In GPT-4V (2023) • No Venue
  Yang et al.
• MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action (2023) • Arxiv • 78 citations
  Yang et al.
• Prompt Engineering A Prompt Engineer (2023) • No Venue
  Ye et al.
• Recommender Systems In The Era Of Large Language Models (llms) (2023) • IEEE Transactions on Knowledge and Data Engineering • 216 citations
  Zhao et al.
• Connecting Large Language Models With Evolutionary Algorithms Yields Powerful Prompt Optimizers (2023) • No Venue
  Guo et al.
• Stay On Topic With Classifier-free Guidance (2023) • No Venue
  Sanchez et al.
• Is Chatgpt A Good Translator? Yes With GPT-4 As The Engine (2023) • Arxiv • 310 citations
  Jiao et al.
• Dspy: Compiling Declarative Language Model Calls Into Self-improving Pipelines (2023) • No Venue
  Khattab et al.
• Large Language Models Are Zero-shot Rankers For Recommender Systems (2023) • Lecture Notes in Computer Science • 167 citations
  Hou et al.
• Faithful Chain-of-thought Reasoning (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 72 citations
  Lyu et al.
• 3D-LLM: Injecting The 3D World Into Large Language Models (2023) • No Venue
  Hong et al.
• Skills-in-context Prompting: Unlocking Compositionality In Large Language Models (2023) • No Venue
  Chen et al.
• Exploring Human-like Translation Strategy With Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 47 citations
  He et al.
• ONCE: Boosting Content-based Recommendation With Both Open- And Closed-source Large Language Models (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 72 citations
  Liu et al.
• Question Decomposition Improves The Faithfulness Of Model-generated Reasoning (2023) • No Venue
  Radhakrishnan et al.
• Teaching Language Models To Self-improve Through Interactive Demonstrations (2023) • No Venue
  Yu et al.
• Scalable 3D Captioning With Pretrained Models (2023) • No Venue
  Luo et al.
• The Flan Collection: Designing Data And Methods For Effective Instruction Tuning (2023) • Arxiv • 109 citations
  Longpre et al.
• Llm-rec: Personalized Recommendation Via Prompting Large Language Models (2023) • No Venue
  Lyu et al.
• Principled Instructions Are All You Need For Questioning Llama-1/2, GPT-3.5/4 (2023) • No Venue
  Sondos Mahmoud Bsharat, Aidar Myrzakhan, Zhiqiang Shen
• Large Language Models As Tax Attorneys: A Case Study In Legal Capabilities Emergence (2023) • No Venue
  Nay et al.
• Collaborative Large Language Model For Recommender Systems (2023) • WWW '24: The ACM Web Conference 2024 • 62 citations
  Zhu et al.
• Large Language Models As General Pattern Machines (2023) • No Venue
  Mirchandani et al.
• Training Chain-of-thought Via Latent-variable Inference (2023) • No Venue
  Phan et al.
• Is Chatgpt A Good Recommender? A Preliminary Study (2023) • Arxiv • 44 citations
  Liu et al.
• Tell Your Model Where To Attend: Post-hoc Attention Steering For Llms (2023) • No Venue
  Zhang et al.
• Prompt, Generate, Then Cache: Cascade Of Foundation Models Makes Strong Few-shot Learners (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 127 citations
  Zhang et al.
• System-level Natural Language Feedback (2023) • No Venue
  Weizhe Yuan, Kyunghyun Cho, Jason Weston
• Wavjourney: Compositional Audio Creation With Large Language Models (2023) • No Venue
  Liu et al.
• Selfcheck: Using Llms To Zero-shot Check Their Own Step-by-step Reasoning (2023) • No Venue
  Ning Miao, Yee Whye Teh, Tom Rainforth
• Motiongpt: Finetuned Llms Are General-purpose Motion Generators (2023) • No Venue
  Zhang et al.
• Prompttts 2: Describing And Generating Voices With Text Prompt (2023) • No Venue
  Leng et al.
• From Sparse To Dense: GPT-4 Summarization With Chain Of Density Prompting (2023) • No Venue
  Adams et al.
• Gpt4motion: Scripting Physical Motions In Text-to-video Generation Via Blender-oriented GPT Planning (2023) • No Venue
  Lv et al.
• Visual In-context Prompting (2023) • No Venue
  Li et al.
• Hd-painter: High-resolution And Prompt-faithful Text-guided Image Inpainting With Diffusion Models (2023) • No Venue
  Manukyan et al.
• Layoutprompter: Awaken The Design Ability Of Large Language Models (2023) • No Venue
  Lin et al.
• De-diffusion Makes Text A Strong Cross-modal Interface (2023) • No Venue
  Wei et al.
• Agenttuning: Enabling Generalized Agent Abilities For Llms (2023) • No Venue
  Zeng et al.
• Star: Bootstrapping Reasoning With Reasoning (2022) • Arxiv • 113 citations
  Zelikman et al.
• Large Language Models Are Better Reasoners With Self-verification (2022) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 56 citations
  Weng et al.
• Reasoning With Language Model Prompting: A Survey (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 79 citations
  Qiao et al.
• Socratic Models: Composing Zero-shot Multimodal Reasoning With Language (2022) • Arxiv • 170 citations
  Zeng et al.
• Self-prompting Large Language Models For Zero-shot Open-domain QA (2022) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Li et al.
• Making Large Language Models Better Reasoners With Step-aware Verifier (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 41 citations
  Li et al.
• Program Of Thoughts Prompting: Disentangling Computation From Reasoning For Numerical Reasoning Tasks (2022) • Arxiv • 110 citations
  Chen et al.
• News Summarization And Evaluation In The Era Of GPT-3 (2022) • Arxiv • 180 citations
  Tanya Goyal, Junyi Jessy Li, Greg Durrett
• Towards Unified Conversational Recommender Systems Via Knowledge-enhanced Prompt Learning (2022) • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 125 citations
  Wang et al.
• UL2: Unifying Language Learning Paradigms (2022) • Arxiv • 97 citations
  Tay et al.
• Prompting GPT-3 To Be Reliable (2022) • Arxiv • 68 citations
  Si et al.
• Large Language Models Can Self-improve (2022) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 106 citations
  Huang et al.
• Large Language Models Are Few(1)-shot Table Reasoners (2022) • Findings of the Association for Computational Linguistics: EACL 2023 • 47 citations
  Wenhu Chen
• Large Language Models Are Reasoning Teachers (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 50 citations
  Namgyu Ho, Laura Schmid, Se-Young Yun
• Demystifying Prompts In Language Models Via Perplexity Estimation (2022) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 51 citations
  Gonen et al.
• Dynamic Prompt Learning Via Policy Gradient For Semi-structured Mathematical Reasoning (2022) • Arxiv • 41 citations
  Lu et al.
• Least-to-most Prompting Enables Complex Reasoning In Large Language Models (2022) • Arxiv • 317 citations
  Zhou et al.
• The Unreliability Of Explanations In Few-shot Prompting For Textual Reasoning (2022) • Arxiv • 52 citations
  Xi Ye, Greg Durrett
• Measuring And Narrowing The Compositionality Gap In Language Models (2022) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 117 citations
  Press et al.
• Pre-train, Prompt, And Predict: A Systematic Survey Of Prompting Methods In Natural Language Processing (2021) • ACM Computing Surveys • 2508 citations
  Liu et al.
• Prefix-tuning: Optimizing Continuous Prompts For Generation (2021) • Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) • 1994 citations
  Xiang Lisa Li, Percy Liang
• A General Language Assistant As A Laboratory For Alignment (2021) • Arxiv • 27 citations
  Askell et al.
• What Changes Can Large-scale Language Models Bring? Intensive Study On Hyperclova: Billions-scale Korean Generative Pretrained Transformers (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 43 citations
  Kim et al.
• The Power Of Scale For Parameter-efficient Prompt Tuning (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 92 citations
  Brian Lester, Rami Al-Rfou, Noah Constant

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— R —

RAG 177 papers #

• Parallel Context-of-experts Decoding For Retrieval Augmented Generation (2026) • No Venue
  Giulio Corallo, Paolo Papotti
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• NAACL: Noise-aware Verbal Confidence Calibration For Llms In RAG Systems (2026) • No Venue
  Liu et al.
• Agentic-r: Learning To Retrieve For Agentic Search (2026) • No Venue
  Liu et al.
• Vidore V3: A Comprehensive Evaluation Of Retrieval Augmented Generation In Complex Real-world Scenarios (2026) • No Venue
  Loison et al.
• Opendecoder: Open Large Language Model Decoding To Incorporate Document Quality In RAG (2026) • No Venue
  Mo et al.
• Knowme-bench: Benchmarking Person Understanding For Lifelong Digital Companions (2026) • No Venue
  Wu et al.
• End-to-end Agentic RAG System Training For Traceable Diagnostic Reasoning (2025) • No Venue
  Zheng et al.
• MIRIAD: Augmenting Llms With Millions Of Medical Query-response Pairs (2025) • No Venue
  Zheng et al.
• Neuro-symbolic Query Compiler (2025) • No Venue
  Zhang et al.
• LUMINA: Detecting Hallucinations In RAG System With Context-knowledge Signals (2025) • No Venue
  Min-Hsuan Yeh, Yixuan Li, Tanwi Mallick
• CLEAR: Error Analysis Via Llm-as-a-judge Made Easy (2025) • No Venue
  Yehudai et al.
• Universalrag: Retrieval-augmented Generation Over Multiple Corpora With Diverse Modalities And Granularities (2025) • No Venue
  Yeo et al.
• PRELUDE: A Benchmark Designed To Require Global Comprehension And Reasoning Over Long Contexts (2025) • No Venue
  Yu et al.
• Med-prm: Medical Reasoning Models With Stepwise, Guideline-verified Process Rewards (2025) • No Venue
  Yun et al.
• Ask In Any Modality: A Comprehensive Survey On Multimodal Retrieval-augmented Generation (2025) • No Venue
  Abootorabi et al.
• Personalized Graph-based Retrieval For Large Language Models (2025) • No Venue
  Au et al.
• Exploiting Instruction-following Retrievers For Malicious Information Retrieval (2025) • No Venue
  Parishad Behnamghader, Nicholas Meade, Siva Reddy
• Multi-task Retriever Fine-tuning For Domain-specific And Efficient RAG (2025) • No Venue
  Patrice Béchard, Orlando Marquez Ayala
• Video Simpleqa: Towards Factuality Evaluation In Large Video Language Models (2025) • No Venue
  Cao et al.
• Qilin: A Multimodal Information Retrieval Dataset With App-level User Sessions (2025) • No Venue
  Chen et al.
• Beyond RAG: Task-aware KV Cache Compression For Comprehensive Knowledge Reasoning (2025) • No Venue
  Corallo et al.
• Wikontic: Constructing Wikidata-aligned, Ontology-aware Knowledge Graphs With Large Language Models (2025) • No Venue
  Chepurova et al.
• Retrieval-augmented Large Language Models For Financial Time Series Forecasting (2025) • No Venue
  Xiao et al.
• Noderag: Structuring Graph-based RAG With Heterogeneous Nodes (2025) • No Venue
  Xu et al.
• CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark (2025) • No Venue
  Wang et al.
• Comorag: A Cognitive-inspired Memory-organized RAG For Stateful Long Narrative Reasoning (2025) • No Venue
  Wang et al.
• Mmlongbench: Benchmarking Long-context Vision-language Models Effectively And Thoroughly (2025) • No Venue
  Wang et al.
• MIRIX: Multi-agent Memory System For Llm-based Agents (2025) • No Venue
  Yu Wang, Xi Chen
• Sciver: Evaluating Foundation Models For Multimodal Scientific Claim Verification (2025) • No Venue
  Wang et al.
• Scholarcopilot: Training Large Language Models For Academic Writing With Accurate Citations (2025) • No Venue
  Wang et al.
• Omnithink: Expanding Knowledge Boundaries In Machine Writing Through Thinking (2025) • No Venue
  Xi et al.
• Webwalker: Benchmarking Llms In Web Traversal (2025) • No Venue
  Wu et al.
• Sitemb-v1.5: Improved Context-aware Dense Retrieval For Semantic Association And Long Story Comprehension (2025) • No Venue
  Wu et al.
• Think-on-graph 3.0: Efficient And Adaptive LLM Reasoning On Heterogeneous Graphs Via Multi-agent Dual-evolving Context Retrieval (2025) • No Venue
  Wu et al.
• Step-audio 2 Technical Report (2025) • No Venue
  Wu et al.
• Mmsearch-r1: Incentivizing Lmms To Search (2025) • No Venue
  Wu et al.
• Vidorag: Visual Document Retrieval-augmented Generation Via Dynamic Iterative Reasoning Agents (2025) • No Venue
  Wang et al.
• VRAG-RL: Empower Vision-perception-based RAG For Visually Rich Information Understanding Via Iterative Reasoning With Reinforcement Learning (2025) • No Venue
  Wang et al.
• Rank1: Test-time Compute For Reranking In Information Retrieval (2025) • No Venue
  Weller et al.
• UNIDOC-BENCH: A Unified Benchmark For Document-centric Multimodal RAG (2025) • No Venue
  Peng et al.
• AR-RAG: Autoregressive Retrieval Augmentation For Image Generation (2025) • No Venue
  Qi et al.
• Animeshooter: A Multi-shot Animation Dataset For Reference-guided Video Generation (2025) • No Venue
  Qiu et al.
• Thinking Beyond Tokens: From Brain-inspired Intelligence To Cognitive Foundations For Artificial General Intelligence And Its Societal Impact (2025) • No Venue
  Qureshi et al.
• Beyond Fact Retrieval: Episodic Memory For RAG With Generative Semantic Workspaces (2025) • No Venue
  Rajesh et al.
• Dota-rag: Dynamic Of Thought Aggregation RAG (2025) • No Venue
  Ruangtanusak et al.
• AI Agents Vs. Agentic AI: A Conceptual Taxonomy, Applications And Challenge (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Imagerag: Dynamic Image Retrieval For Reference-guided Image Generation (2025) • No Venue
  Shalev-Arkushin et al.
• Reasonir: Training Retrievers For Reasoning Tasks (2025) • No Venue
  Shao et al.
• Qwenlong-cprs: Towards Infty-llms With Dynamic Context Optimization (2025) • No Venue
  Shen et al.
• Are We On The Right Way For Assessing Document Retrieval-augmented Generation? (2025) • No Venue
  Shen et al.
• Searchrag: Can Search Engines Be Helpful For Llm-based Medical Question Answering? (2025) • No Venue
  Shi et al.
• Guided Decoding And Its Critical Role In Retrieval-augmented Generation (2025) • No Venue
  Uğur et al.
• HANRAG: Heuristic Accurate Noise-resistant Retrieval-augmented Generation For Multi-hop Question Answering (2025) • No Venue
  Sun et al.
• Grouprank: A Groupwise Reranking Paradigm Driven By Reinforcement Learning (2025) • No Venue
  Sun et al.
• Hiersearch: A Hierarchical Enterprise Deep Search Framework Integrating Local And Web Searches (2025) • No Venue
  Tan et al.
• Metachain: A Fully-automated And Zero-code Framework For LLM Agents (2025) • No Venue
  Jiabin Tang, Tianyu Fan, Chao Huang
• Code Graph Model (CGM): A Graph-integrated Large Language Model For Repository-level Software Engineering Tasks (2025) • No Venue
  Tao et al.
• Turk-lettucedetect: A Hallucination Detection Models For Turkish RAG Applications (2025) • No Venue
  Taş et al.
• Vision-guided Chunking Is All You Need: Enhancing RAG With Multimodal Document Understanding (2025) • No Venue
  Tripathi et al.
• Learn-by-interact: A Data-centric Framework For Self-adaptive Agents In Realistic Environments (2025) • No Venue
  Su et al.
• Mem0: Building Production-ready AI Agents With Scalable Long-term Memory (2025) • No Venue
  Chhikara et al.
• Command A: An Enterprise-ready Large Language Model (2025) • No Venue
  Cohere et al.
• Rezero: Enhancing LLM Search Ability By Trying One-more-time (2025) • No Venue
  Alan Dao, Thinh Le
• MV-RAG: Retrieval Augmented Multiview Diffusion (2025) • No Venue
  Yosef Dayani, Omer Benishu, Sagie Benaim
• PHYSICS: Benchmarking Foundation Models On University-level Physics Problem Solving (2025) • No Venue
  Feng et al.
• The Aloe Family Recipe For Open And Specialized Healthcare Llms (2025) • No Venue
  Garcia-Gasulla et al.
• Webwatcher: Breaking New Frontier Of Vision-language Deep Research Agent (2025) • No Venue
  Geng et al.
• Drugreasoner: Interpretable Drug Approval Prediction With A Reasoning-augmented Language Model (2025) • No Venue
  Ghaffarzadeh-Esfahani et al.
• Deeprag: Thinking To Retrieval Step By Step For Large Language Models (2025) • No Venue
  Guan et al.
• Rag-anything: All-in-one RAG Framework (2025) • No Venue
  Guo et al.
• From RAG To Memory: Non-parametric Continual Learning For Large Language Models (2025) • No Venue
  Gutiérrez et al.
• Mdocagent: A Multi-modal Multi-agent Framework For Document Understanding (2025) • No Venue
  Han et al.
• Clara: Bridging Retrieval And Generation With Continuous Latent Reasoning (2025) • No Venue
  He et al.
• Chronoplay: A Framework For Modeling Dual Dynamics And Authenticity In Game RAG Benchmarks (2025) • No Venue
  He et al.
• Memory In The Age Of AI Agents (2025) • No Venue
  Hu et al.
• Evaluating Memory In LLM Agents Via Incremental Multi-turn Interactions (2025) • No Venue
  Yuanzhe Hu, Yu Wang, Julian McAuley
• MCTS-RAG: Enhancing Retrieval-augmented Generation With Monte Carlo Tree Search (2025) • No Venue
  Hu et al.
• Spectrum Projection Score: Aligning Retrieved Summaries With Reader Models In Retrieval-augmented Generation (2025) • No Venue
  Hu et al.
• Reinforced Internal-external Knowledge Synergistic Reasoning For Efficient Adaptive Search Agent (2025) • No Venue
  Huang et al.
• Wikipedia In The Era Of Llms: Evolution And Risks (2025) • No Venue
  Huang et al.
• Videorag: Retrieval-augmented Generation Over Video Corpus (2025) • No Venue
  Jeong et al.
• When Thoughts Meet Facts: Reusable Reasoning For Long-context Lms (2025) • No Venue
  Jeong et al.
• S3: You Don't Need That Much Data To Train A Search Agent Via RL (2025) • No Venue
  Jiang et al.
• Lettucedetect: A Hallucination Detection Framework For RAG Applications (2025) • No Venue
  Ádám Kovács, Gábor Recski
• Even Small Reasoners Should Quote Their Sources: Introducing The Pleias-rag Model Family (2025) • No Venue
  Langlais et al.
• Llave: Large Language And Vision Embedding Models With Hardness-weighted Contrastive Learning (2025) • No Venue
  Lan et al.
• Experience Is The Best Teacher: Grounding Vlms For Robotics Through Self-generated Memory (2025) • No Venue
  Lan et al.
• Rearag: Knowledge-guided Reasoning Enhances Factuality Of Large Reasoning Models With Iterative Retrieval Augmented Generation (2025) • No Venue
  Lee et al.
• More Documents, Same Length: Isolating The Challenge Of Multiple Documents In RAG (2025) • No Venue
  Levy et al.
• CRINN: Contrastive Reinforcement Learning For Approximate Nearest Neighbor Search (2025) • No Venue
  Li et al.
• Deepcode: Open Agentic Coding (2025) • No Venue
  Li et al.
• Mindscape-aware Retrieval Augmented Generation For Improved Long Context Understanding (2025) • No Venue
  Li et al.
• Memos: A Memory OS For AI System (2025) • No Venue
  Li et al.
• Search-o1: Agentic Search-enhanced Large Reasoning Models (2025) • No Venue
  Li et al.
• Webweaver: Structuring Web-scale Evidence With Dynamic Outlines For Open-ended Deep Research (2025) • No Venue
  Li et al.
• Dataflow: An Llm-driven Framework For Unified Data Preparation And Workflow Automation In The Era Of Data-centric AI (2025) • No Venue
  Liang et al.
• Saferag: Benchmarking Security In Retrieval-augmented Generation Of Large Language Model (2025) • No Venue
  Liang et al.
• Telerag: Efficient Retrieval-augmented Generation Inference With Lookahead Retrieval (2025) • No Venue
  Lin et al.
• Longemotion: Measuring Emotional Intelligence Of Large Language Models In Long-context Interaction (2025) • No Venue
  Liu et al.
• Deepmmsearch-r1: Empowering Multimodal Llms In Multimodal Web Search (2025) • No Venue
  Narayan et al.
• Ruccod: Towards Automated ICD Coding In Russian (2025) • No Venue
  Nesterov et al.
• Improving Multi-step RAG With Hypergraph-based Memory For Long-context Complex Relational Modeling (2025) • No Venue
  Zhou et al.
• Vlm2vec-v2: Advancing Multimodal Embedding For Videos, Images, And Visual Documents (2025) • No Venue
  Meng et al.
• Quco-rag: Quantifying Uncertainty From The Pre-training Corpus For Dynamic Retrieval-augmented Generation (2025) • No Venue
  Min et al.
• Search Self-play: Pushing The Frontier Of Agent Capability Without Supervision (2025) • No Venue
  Lu et al.
• Executable Knowledge Graphs For Replicating AI Research (2025) • No Venue
  Luo et al.
• Agent Lightning: Train ANY AI Agents With Reinforcement Learning (2025) • No Venue
  Luo et al.
• A Survey Of Context Engineering For Large Language Models (2025) • No Venue
  Mei et al.
• Hard Negative Mining For Domain-specific Retrieval In Enterprise Systems (2025) • No Venue
  Meghwani et al.
• Wikivideo: Article Generation From Multiple Videos (2025) • No Venue
  Martin et al.
• Deliberation On Priors: Trustworthy Reasoning Of Large Language Models On Knowledge Graphs (2025) • No Venue
  Ma et al.
• Generative Representational Instruction Tuning (2024) • No Venue
  Muennighoff et al.
• Grouse: A Benchmark To Evaluate Evaluators In Grounded Question Answering (2024) • No Venue
  Muller et al.
• Fact, Fetch, And Reason: A Unified Evaluation Of Retrieval-augmented Generation (2024) • No Venue
  Krishna et al.
• Summary Of A Haystack: A Challenge To Long-context Llms And RAG Systems (2024) • No Venue
  Laban et al.
• In Search Of Needles In A 10M Haystack: Recurrent Memory Finds What Llms Miss (2024) • No Venue
  Kuratov et al.
• Babilong: Testing The Limits Of Llms With Long Context Reasoning-in-a-haystack (2024) • No Venue
  Kuratov et al.
• Medtrinity-25m: A Large-scale Multimodal Dataset With Multigranular Annotations For Medicine (2024) • No Venue
  Xie et al.
• Evaluating Very Long-term Conversational Memory Of LLM Agents (2024) • No Venue
  Maharana et al.
• SKETCH: Structured Knowledge Enhanced Text Comprehension For Holistic Retrieval (2024) • No Venue
  Mahalingam et al.
• Omnidocbench: Benchmarking Diverse PDF Document Parsing With Comprehensive Annotations (2024) • No Venue
  Ouyang et al.
• Bielik 7B V0.1: A Polish Language Model -- Development, Insights, And Evaluation (2024) • No Venue
  Ociepa et al.
• Granite Guardian (2024) • No Venue
  Padhi et al.
• Chatqa: Building GPT-4 Level Conversational QA Models (2024) • No Venue
  Liu et al.
• Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models (2024) • No Venue
  Xia et al.
• Memorag: Moving Towards Next-gen RAG Via Memory-inspired Knowledge Discovery (2024) • No Venue
  Qian et al.
• RULE: Reliable Multimodal RAG For Factuality In Medical Vision Language Models (2024) • No Venue
  Xia et al.
• Retrollm: Empowering Large Language Models To Retrieve Fine-grained Evidence Within Generation (2024) • No Venue
  Li et al.
• Structrag: Boosting Knowledge Intensive Reasoning Of Llms Via Inference-time Hybrid Information Structurization (2024) • No Venue
  Li et al.
• OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation (2024) • No Venue
  Zhang et al.
• RAFT: Adapting Language Model To Domain Specific RAG (2024) • No Venue
  Zhang et al.
• Federated Recommendation Via Hybrid Retrieval Augmented Generation (2024) • 2024 IEEE International Conference on Big Data (BigData) • 10 citations
  Zeng et al.
• Onegen: Efficient One-pass Unified Generation And Retrieval For Llms (2024) • No Venue
  Zhang et al.
• Arigraph: Learning Knowledge Graph World Models With Episodic Memory For LLM Agents (2024) • No Venue
  Anokhin et al.
• Inference Scaling For Long-context Retrieval Augmented Generation (2024) • No Venue
  Yue et al.
• Boosting Healthcare Llms Through Retrieved Context (2024) • No Venue
  Jordi Bayarri-Planas, Ashwin Kumar Gururajan, Dario Garcia-Gasulla
• Text2sql Is Not Enough: Unifying AI And Databases With TAG (2024) • No Venue
  Biswal et al.
• Visrag: Vision-based Retrieval-augmented Generation On Multi-modality Documents (2024) • No Venue
  Yu et al.
• Evaluating Rag-fusion With Ragelo: An Automated Elo-based Framework (2024) • No Venue
  Zackary Rackauckas, Arthur Câmara, Jakub Zavrel
• CRAG -- Comprehensive RAG Benchmark (2024) • No Venue
  Yang et al.
• Gemini 1.5: Unlocking Multimodal Understanding Across Millions Of Tokens Of Context (2024) • No Venue
  Reid et al.
• RAPTOR: Recursive Abstractive Processing For Tree-organized Retrieval (2024) • No Venue
  Sarthi et al.
• Open-rag: Enhanced Retrieval-augmented Reasoning With Open-source Large Language Models (2024) • No Venue
  Islam et al.
• Writing In The Margins: Better Inference Pattern For Long Context Retrieval (2024) • No Venue
  Russak et al.
• Longrag: Enhancing Retrieval-augmented Generation With Long-context Llms (2024) • No Venue
  Ziyan Jiang, Xueguang Ma, Wenhu Chen
• Chatqa 2: Bridging The Gap To Proprietary Llms In Long Context And RAG Capabilities (2024) • No Venue
  Xu et al.
• Weaver: Foundation Models For Creative Writing (2024) • No Venue
  Wang et al.
• Omnieval: An Omnidirectional And Automatic RAG Evaluation Benchmark In Financial Domain (2024) • No Venue
  Wang et al.
• Agentpoison: Red-teaming LLM Agents Via Poisoning Memory Or Knowledge Bases (2024) • No Venue
  Chen et al.
• Internet Of Agents: Weaving A Web Of Heterogeneous Agents For Collaborative Intelligence (2024) • No Venue
  Chen et al.
• Octopus V2: On-device Language Model For Super Agent (2024) • No Venue
  Wei Chen, Zhiyuan Li
• Region-aware Text-to-image Generation Via Hard Binding And Soft Refinement (2024) • No Venue
  Chen et al.
• Vision Search Assistant: Empower Vision-language Models As Multimodal Search Engines (2024) • No Venue
  Zhang et al.
• Openresearcher: Unleashing AI For Accelerated Scientific Research (2024) • No Venue
  Zheng et al.
• Seakr: Self-aware Knowledge Retrieval For Adaptive Retrieval Augmented Generation (2024) • No Venue
  Yao et al.
• Meta-chunking: Learning Efficient Text Segmentation Via Logical Perception (2024) • No Venue
  Zhao et al.
• CORAL: Benchmarking Multi-turn Conversational Retrieval-augmentation Generation (2024) • No Venue
  Cheng et al.
• Finch: Prompt-guided Key-value Cache Compression (2024) • No Venue
  Giulio Corallo, Paolo Papotti
• M3docrag: Multi-modal Retrieval Is What You Need For Multi-page Multi-document Understanding (2024) • No Venue
  Cho et al.
• From Rags To Rich Parameters: Probing How Language Models Utilize External Knowledge Over Parametric Information For Factual Queries (2024) • No Venue
  Wadhwa et al.
• Leave No Document Behind: Benchmarking Long-context Llms With Extended Multi-doc QA (2024) • No Venue
  Wang et al.
• Towards Retrieval Augmented Generation Over Large Video Libraries (2024) • No Venue
  Yannis Tevissen, Khalil Guetari, Frédéric Petitpont
• Similarity Is Not All You Need: Endowing Retrieval Augmented Generation With Multi Layered Thoughts (2024) • No Venue
  Gan et al.
• Autorag-hp: Automatic Online Hyper-parameter Tuning For Retrieval-augmented Generation (2024) • No Venue
  Fu et al.
• RAG Foundry: A Framework For Enhancing Llms For Retrieval Augmented Generation (2024) • No Venue
  Fleischer et al.
• A Silver Bullet Or A Compromise For Full Attention? A Comprehensive Study Of Gist Token-based Context Compression (2024) • No Venue
  Deng et al.
• L-citeeval: Do Long-context Models Truly Leverage Context For Responding? (2024) • No Venue
  Tang et al.
• Dreamrunner: Fine-grained Storytelling Video Generation With Retrieval-augmented Motion Adaptation (2024) • No Venue
  Wang et al.
• Visdom: Multi-document QA With Visually Rich Elements Using Multimodal Retrieval-augmented Generation (2024) • No Venue
  Suri et al.
• Htmlrag: HTML Is Better Than Plain Text For Modeling Retrieved Knowledge In RAG Systems (2024) • No Venue
  Tan et al.
• Toward General Instruction-following Alignment For Retrieval-augmented Generation (2024) • No Venue
  Dong et al.
• Retrieval-augmented Generation For Large Language Models: A Survey (2023) • Arxiv • 13 citations
  Gao et al.
• SILO Language Models: Isolating Legal Risk In A Nonparametric Datastore (2023) • No Venue
  Min et al.
• Self-rag: Learning To Retrieve, Generate, And Critique Through Self-reflection (2023) • No Venue
  Asai et al.
• Context Tuning For Retrieval Augmented Generation (2023) • No Venue
  Anantha et al.
• Retrieval-augmented Generation For Knowledge-intensive NLP Tasks (2020) • Arxiv • 18 citations
  Lewis et al.

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Reinforcement Learning 959 papers #

• Samtok: Representing Any Mask With Two Words (2026) • No Venue
  Zhou et al.
• AT^2PO: Agentic Turn-based Policy Optimization Via Tree Search (2026) • No Venue
  Zong et al.
• Your Group-relative Advantage Is Biased (2026) • No Venue
  Yang et al.
• Toward Efficient Agents: Memory, Tool Learning, And Planning (2026) • No Venue
  Yang et al.
• Behavior Knowledge Merge In Reinforced Agentic Models (2026) • No Venue
  Yuan et al.
• Learning To Discover At Test Time (2026) • No Venue
  Yuksekgonul et al.
• Think3d: Thinking With Space For Spatial Reasoning (2026) • No Venue
  Zhang et al.
• Arenarl: Scaling RL For Open-ended Agents Via Tournament-based Relative Ranking (2026) • No Venue
  Zhang et al.
• Chaining The Evidence: Robust Reinforcement Learning For Deep Search Agents With Citation-aware Rubric Rewards (2026) • No Venue
  Zhang et al.
• Nextflow: Unified Sequential Modeling Activates Multimodal Understanding And Generation (2026) • No Venue
  Zhang et al.
• Roi-reasoning: Rational Optimization For Inference Via Pre-computation Meta-cognition (2026) • No Venue
  Muyang Zhao, Qi Qi, Hao Sun
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Webgym: Scaling Training Environments For Visual Web Agents With Realistic Tasks (2026) • No Venue
  Bai et al.
• Cogflow: Bridging Perception And Reasoning Through Knowledge Internalization For Visual Mathematical Problem Solving (2026) • No Venue
  Chen et al.
• Llm-in-sandbox Elicits General Agentic Intelligence (2026) • No Venue
  Cheng et al.
• Entropy-adaptive Fine-tuning: Resolving Confident Conflicts To Mitigate Forgetting (2026) • No Venue
  Diao et al.
• Agentocr: Reimagining Agent History Via Optical Self-compression (2026) • No Venue
  Feng et al.
• Translategemma Technical Report (2026) • No Venue
  Finkelstein et al.
• Endless Terminals: Scaling RL Environments For Terminal Agents (2026) • No Venue
  Gandhi et al.
• Dreamid-v:bridging The Image-to-video Gap For High-fidelity Face Swapping Via Diffusion Transformer (2026) • No Venue
  Guo et al.
• Dancing In Chains: Strategic Persuasion In Academic Rebuttal Via Theory Of Mind (2026) • No Venue
  Zhitao He, Zongwei Lyu, Yi R Fung
• Collaborative Multi-agent Test-time Reinforcement Learning For Reasoning (2026) • No Venue
  Hu et al.
• Pacore: Learning To Scale Test-time Compute With Parallel Coordinated Reasoning (2026) • No Venue
  Hu et al.
• Rewarding The Rare: Uniqueness-aware RL For Creative Problem Solving In Llms (2026) • No Venue
  Hu et al.
• STEP3-VL-10B Technical Report (2026) • No Venue
  Huang et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Reasoning Models Generate Societies Of Thought (2026) • No Venue
  Kim et al.
• Advances And Frontiers Of Llm-based Issue Resolution In Software Engineering: A Comprehensive Survey (2026) • No Venue
  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• BAPO: Boundary-aware Policy Optimization For Reliable Agentic Search (2026) • No Venue
  Liu et al.
• GDPO: Group Reward-decoupled Normalization Policy Optimization For Multi-reward RL Optimization (2026) • No Venue
  Liu et al.
• Skinflow: Efficient Information Transmission For Open Dermatological Diagnosis Via Dynamic Visual Encoding And Staged RL (2026) • No Venue
  Liu et al.
• The Reasoning-creativity Trade-off: Toward Creativity-driven Problem Solving (2026) • No Venue
  Max Ruiz Luyten, Mihaela van Der Schaar
• Toolsafe: Enhancing Tool Invocation Safety Of Llm-based Agents Via Proactive Step-level Guardrail And Feedback (2026) • No Venue
  Mou et al.
• The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential In Diffusion Language Models (2026) • No Venue
  Ni et al.
• SOP: A Scalable Online Post-training System For Vision-language-action Models (2026) • No Venue
  Pan et al.
• Matchtir: Fine-grained Supervision For Tool-integrated Reasoning Via Bipartite Matching (2026) • No Venue
  Qu et al.
• Aligning Text, Code, And Vision: A Multi-objective Reinforcement Learning Framework For Text-to-visualization (2026) • No Venue
  Rahman et al.
• LSRIF: Logic-structured Reinforcement Learning For Instruction Following (2026) • No Venue
  Ren et al.
• Envscaler: Scaling Tool-interactive Environments For LLM Agent Via Programmatic Synthesis (2026) • No Venue
  Song et al.
• Adareasoner: Dynamic Tool Orchestration For Iterative Visual Reasoning (2026) • No Venue
  Song et al.
• VAR RL Done Right: Tackling Asynchronous Policy Conflicts In Visual Autoregressive Generation (2026) • No Venue
  Sun et al.
• Teaching Models To Teach Themselves: Reasoning At The Edge Of Learnability (2026) • No Venue
  Sundaram et al.
• Talk2move: Reinforcement Learning For Text-instructed Object-level Geometric Transformation In Scenes (2026) • No Venue
  Tan et al.
• Multiplex Thinking: Reasoning Via Token-wise Branch-and-merge (2026) • No Venue
  Tang et al.
• Longcat-flash-thinking-2601 Technical Report (2026) • No Venue
  Team et al.
• Gametalk: Training Llms For Strategic Conversation (2026) • No Venue
  Victor Conchello Vendrell, Max Ruiz Luyten, Mihaela van Der Schaar
• Urban Socio-semantic Segmentation With Vision-language Reasoning (2026) • No Venue
  Wang et al.
• Agentic Reasoning For Large Language Models (2026) • No Venue
  Wei et al.
• Atlas: Orchestrating Heterogeneous Models And Tools For Multi-domain Complex Reasoning (2026) • No Venue
  Wu et al.
• X-coder: Advancing Competitive Programming With Fully Synthetic Tasks, Solutions, And Tests (2026) • No Venue
  Wu et al.
• Jet-rl: Enabling On-policy FP8 Reinforcement Learning With Unified Training And Rollout Precision Flow (2026) • No Venue
  Xi et al.
• Mimo-v2-flash Technical Report (2026) • No Venue
  Xiao et al.
• The Confidence Dichotomy: Analyzing And Mitigating Miscalibration In Tool-use Agents (2026) • No Venue
  Xuan et al.
• First Return, Entropy-eliciting Explore (2025) • No Venue
  Zheng et al.
• End-to-end Agentic RAG System Training For Traceable Diagnostic Reasoning (2025) • No Venue
  Zheng et al.
• Diffusionnft: Online Diffusion Reinforcement With Forward Process (2025) • No Venue
  Zheng et al.
• Hunyuan-mt Technical Report (2025) • No Venue
  Zheng et al.
• Achieving Olympia-level Geometry Large Language Model Agent Via Complexity Boosting Reinforcement Learning (2025) • No Venue
  Zhao et al.
• Absolute Zero: Reinforced Self-play Reasoning With Zero Data (2025) • No Venue
  Zhao et al.
• Chemdfm-r: An Chemical Reasoner LLM Enhanced With Atomized Chemical Knowledge (2025) • No Venue
  Zhao et al.
• Geometric-mean Policy Optimization (2025) • No Venue
  Zhao et al.
• Learning To Reason Without External Rewards (2025) • No Venue
  Zhao et al.
• Inpainting-guided Policy Optimization For Diffusion Large Language Models (2025) • No Venue
  Zhao et al.
• Stabilizing Reinforcement Learning With Llms: Formulation And Practices (2025) • No Venue
  Zheng et al.
• Stronger Together: On-policy Reinforcement Learning For Collaborative Llms (2025) • No Venue
  Zhao et al.
• Repurposing Synthetic Data For Fine-grained Search Agent Supervision (2025) • No Venue
  Zhao et al.
• R1-omni: Explainable Omni-multimodal Emotion Recognition With Reinforcing Learning (2025) • No Venue
  Jiaxing Zhao, Xihan Wei, Liefeng Bo
• MM-HELIX: Boosting Multimodal Long-chain Reflective Reasoning With Holistic Platform And Adaptive Hybrid Policy Optimization (2025) • No Venue
  Zhao et al.
• One Token To Fool Llm-as-a-judge (2025) • No Venue
  Zhao et al.
• Group Sequence Policy Optimization (2025) • No Venue
  Zheng et al.
• Agent Models: Internalizing Chain-of-action Generation Into Reasoning Models (2025) • No Venue
  Zhang et al.
• 100 Days After Deepseek-r1: A Survey On Replication Studies And More Directions For Reasoning Language Models (2025) • No Venue
  Zhang et al.
• BTL-UI: Blink-think-link Reasoning Model For GUI Agent (2025) • No Venue
  Zhang et al.
• Basereward: A Strong Baseline For Multimodal Reward Model (2025) • No Venue
  Zhang et al.
• Deeptheorem: Advancing LLM Reasoning For Theorem Proving Through Natural Language And Reinforcement Learning (2025) • No Venue
  Zhang et al.
• Chasing The Tail: Effective Rubric-based Reward Modeling For Large Language Model Post-training (2025) • No Venue
  Zhang et al.
• COOPER: A Unified Model For Cooperative Perception And Reasoning In Spatial Intelligence (2025) • No Venue
  Zhang et al.
• Bourbaki: Self-generated And Goal-conditioned Mdps For Theorem Proving (2025) • No Venue
  Zimmer et al.
• Timelens: Rethinking Video Temporal Grounding With Multimodal Llms (2025) • No Venue
  Zhang et al.
• RLFR: Extending Reinforcement Learning For Llms With Flow Environment (2025) • No Venue
  Zhang et al.
• Thyme: Think Beyond Images (2025) • No Venue
  Zhang et al.
• Trivia: Self-supervised Fine-tuning Of Vision-language Models For Table Recognition (2025) • No Venue
  Zhang et al.
• Tinyllava-video-r1: Towards Smaller Lmms For Video Reasoning (2025) • No Venue
  Zhang et al.
• REARANK: Reasoning Re-ranking Agent Via Reinforcement Learning (2025) • No Venue
  Zhang et al.
• Infoagent: Advancing Autonomous Information-seeking Agents (2025) • No Venue
  Zhang et al.
• R1-reward: Training Multimodal Reward Model Through Stable Reinforcement Learning (2025) • No Venue
  Zhang et al.
• Process-based Self-rewarding Language Models (2025) • No Venue
  Zhang et al.
• Openmmreasoner: Pushing The Frontiers For Multimodal Reasoning With An Open And General Recipe (2025) • No Venue
  Zhang et al.
• Memory As Action: Autonomous Context Curation For Long-horizon Agentic Tasks (2025) • No Venue
  Zhang et al.
• Pairuni: Pairwise Training For Unified Multimodal Language Models (2025) • No Venue
  Zheng et al.
• TTRL: Test-time Reinforcement Learning (2025) • No Venue
  Zuo et al.
• Mindjourney: Test-time Scaling With World Models For Spatial Reasoning (2025) • No Venue
  Yang et al.
• Machine Mental Imagery: Empower Multimodal Reasoning With Latent Visual Tokens (2025) • No Venue
  Yang et al.
• Longvt: Incentivizing "thinking With Long Videos" Via Native Tool Calling (2025) • No Venue
  Yang et al.
• Mmada: Multimodal Large Diffusion Language Models (2025) • No Venue
  Yang et al.
• Steering Vision-language-action Models As Anti-exploration: A Test-time Scaling Approach (2025) • No Venue
  Yang et al.
• Reasonflux: Hierarchical LLM Reasoning Via Scaling Thought Templates (2025) • No Venue
  Yang et al.
• R1-onevision: Advancing Generalized Multimodal Reasoning Through Cross-modal Formalization (2025) • No Venue
  Yang et al.
• Thinking With Images Via Self-calling Agent (2025) • No Venue
  Yang et al.
• Table-r1: Inference-time Scaling For Table Reasoning (2025) • No Venue
  Yang et al.
• Ui2code^n: A Visual Language Model For Test-time Scalable Interactive Ui-to-code Generation (2025) • No Venue
  Yang et al.
• Zerogui: Automating Online GUI Learning At Zero Human Cost (2025) • No Venue
  Yang et al.
• Visionthink: Smart And Efficient Vision Language Model Via Reinforcement Learning (2025) • No Venue
  Yang et al.
• Visual Spatial Tuning (2025) • No Venue
  Yang et al.
• Optimizing Chain-of-thought Reasoners Via Gradient Variance Minimization In Rejection Sampling And RL (2025) • No Venue
  Yao et al.
• Training Language Models To Generate Quality Code With Program Analysis Feedback (2025) • No Venue
  Yao et al.
• A Multi-dimensional Constraint Framework For Evaluating And Improving Instruction Following In Large Language Models (2025) • No Venue
  Ye et al.
• Feedback-driven Tool-use Improvements In Large Language Models Via Automated Build Environments (2025) • No Venue
  Ye et al.
• VLA-R1: Enhancing Reasoning In Vision-language-action Models (2025) • No Venue
  Ye et al.
• Demystifying Long Chain-of-thought Reasoning In Llms (2025) • No Venue
  Yeo et al.
• Tattoo: Tool-grounded Thinking PRM For Test-time Scaling In Tabular Reasoning (2025) • No Venue
  Zou et al.
• Rlinf-vla: A Unified And Efficient Framework For VLA+RL Training (2025) • No Venue
  Zang et al.
• Multi-swe-bench: A Multilingual Benchmark For Issue Resolving (2025) • No Venue
  Zan et al.
• Internlm-xcomposer2.5-reward: A Simple Yet Effective Multi-modal Reward Model (2025) • No Venue
  Zang et al.
• Reasoning Vectors: Transferring Chain-of-thought Capabilities Via Task Arithmetic (2025) • No Venue
  Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Bernard Ghanem
• Reinforcing Multi-turn Reasoning In LLM Agents Via Turn-level Credit Assignment (2025) • No Venue
  Zeng et al.
• Agentic Jigsaw Interaction Learning For Enhancing Visual Perception And Reasoning In Vision-language Models (2025) • No Venue
  Zeng et al.
• ACECODER: Acing Coder RL Via Automated Test-case Synthesis (2025) • No Venue
  Zeng et al.
• Done Is Better Than Perfect: Unlocking Efficient Reasoning By Structured Multi-turn Decomposition (2025) • No Venue
  Zeng et al.
• Simplerl-zoo: Investigating And Taming Zero Reinforcement Learning For Open Base Models In The Wild (2025) • No Venue
  Zeng et al.
• Satori-swe: Evolutionary Test-time Scaling For Sample-efficient Software Engineering (2025) • No Venue
  Zeng et al.
• RLVE: Scaling Up Reinforcement Learning For Language Models With Adaptive Verifiable Environments (2025) • No Venue
  Zeng et al.
• Actial: Activate Spatial Reasoning Ability Of Multimodal Large Language Models (2025) • No Venue
  Zhan et al.
• Uitron: Foundational GUI Agent With Advanced Perception And Planning (2025) • No Venue
  Zeng et al.
• A Vision-language-action-critic Model For Robotic Real-world Reinforcement Learning (2025) • No Venue
  Zhai et al.
• Exgrpo: Learning To Reason From Experience (2025) • No Venue
  Zhan et al.
• Vision-r1: Evolving Human-free Alignment In Large Vision-language Models Via Vision-guided Reinforcement Learning (2025) • No Venue
  Zhan et al.
• Evaluating Parameter Efficient Methods For RLVR (2025) • No Venue
  Yin et al.
• Spatial Mental Modeling From Limited Views (2025) • No Venue
  Yin et al.
• Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures (2025) • No Venue
  Ying et al.
• A Practical Two-stage Recipe For Mathematical Llms: Maximizing Accuracy With SFT And Efficiency With Reinforcement Learning (2025) • No Venue
  Hiroshi Yoshihara, Taiki Yamaguchi, Yuichi Inoue
• DAPO: An Open-source LLM Reinforcement Learning System At Scale (2025) • No Venue
  Yu et al.
• Aworld: Orchestrating The Training Recipe For Agentic AI (2025) • No Venue
  Yu et al.
• Demystifying Reinforcement Learning In Agentic Reasoning (2025) • No Venue
  Yu et al.
• Every Question Has Its Own Value: Reinforcement Learning With Explicit Human Values (2025) • No Venue
  Yu et al.
• RLPR: Extrapolating RLVR To General Domains Without Verifiers (2025) • No Venue
  Yu et al.
• Medreseacher-r1: Expert-level Medical Deep Researcher Via A Knowledge-informed Trajectory Synthesis Framework (2025) • No Venue
  Yu et al.
• Minicpm-v 4.5: Cooking Efficient Mllms Via Architecture, Data, And Training Recipe (2025) • No Venue
  Yu et al.
• QUASAR: Quantum Assembly Code Generation Using Tool-augmented Llms Via Agentic RL (2025) • No Venue
  Yu et al.
• Sotopia-rl: Reward Design For Social Intelligence (2025) • No Venue
  Yu et al.
• Agent-r: Training Language Model Agents To Reflect Via Iterative Self-training (2025) • No Venue
  Yuan et al.
• Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective (2025) • No Venue
  Zimmer et al.
• From F(x) And G(x) To F(g(x)): Llms Learn New Skills In RL By Composing Old Ones (2025) • No Venue
  Yuan et al.
• Vl-cogito: Progressive Curriculum Reinforcement Learning For Advanced Multimodal Reasoning (2025) • No Venue
  Yuan et al.
• Reasonflux-prm: Trajectory-aware Prms For Long Chain-of-thought Reasoning In Llms (2025) • No Venue
  Zou et al.
• Don't Overthink It: A Survey Of Efficient R1-style Large Reasoning Models (2025) • No Venue
  Yue et al.
• Does Reinforcement Learning Really Incentivize Reasoning Capacity In Llms Beyond The Base Model? (2025) • No Venue
  Yue et al.
• Evolving Language Models Without Labels: Majority Drives Selection, Novelty Promotes Variation (2025) • No Venue
  Zhou et al.
• Towards Faithful And Controllable Personalization Via Critique-post-edit Reinforcement Learning (2025) • No Venue
  Zhu et al.
• Minimax-m1: Scaling Test-time Compute Efficiently With Lightning Attention (2025) • No Venue
  Minimax et al.
• Competitive Programming With Large Reasoning Models (2025) • No Venue
  Openai et al.
• Magistral (2025) • No Venue
  Mistral-Ai et al.
• Deepseek-v3.2: Pushing The Frontier Of Open Large Language Models (2025) • No Venue
  Deepseek-Ai et al.
• World Simulation With Video Foundation Models For Physical AI (2025) • No Venue
  Nvidia et al.
• Skywork R1V2: Multimodal Hybrid Reinforcement Learning For Reasoning (2025) • No Venue
  Chris et al.
• VAPO: Efficient And Reliable Reinforcement Learning For Advanced Reasoning Tasks (2025) • No Venue
  Yuyue et al.
• Phi-4-reasoning Technical Report (2025) • No Venue
  Abdin et al.
• GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning (2025) • No Venue
  Agrawal et al.
• The Markovian Thinker (2025) • No Venue
  Aghajohari et al.
• The Promise Of RL For Autoregressive Image Editing (2025) • No Venue
  Ahmadi et al.
• The Best Of N Worlds: Aligning Reinforcement Learning With Best-of-n Sampling Via Max@k Optimisation (2025) • No Venue
  Bagirov et al.
• Rethinking Reflection In Pre-training (2025) • No Venue
  Ai et al.
• NEMOTRON-CROSSTHINK: Scaling Self-learning Beyond Math Reasoning (2025) • No Venue
  Akter et al.
• Sharing Is Caring: Efficient LM Post-training With Collective RL Experience Sharing (2025) • No Venue
  Amico et al.
• Kandinsky 5.0: A Family Of Foundation Models For Image And Video Generation (2025) • No Venue
  Arkhipkin et al.
• Swe-rebench: An Automated Pipeline For Task Collection And Decontaminated Evaluation Of Software Engineering Agents (2025) • No Venue
  Badertdinov et al.
• Cadrille: Multi-modal CAD Reconstruction With Online Reinforcement Learning (2025) • No Venue
  Kolodiazhnyi et al.
• Intern-s1: A Scientific Multimodal Foundation Model (2025) • No Venue
  Bai et al.
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025) • No Venue
  Bai et al.
• Univg-r1: Reasoning Guided Universal Visual Grounding With Reinforcement Learning (2025) • No Venue
  Bai et al.
• Reasoning Language Models: A Blueprint (2025) • No Venue
  Besta et al.
• Reflect, Retry, Reward: Self-improving Llms Via Reinforcement Learning (2025) • No Venue
  Bensal et al.
• Llama-nemotron: Efficient Reasoning Models (2025) • No Venue
  Bercovich et al.
• Hail To The Thief: Exploring Attacks And Defenses In Decentralised GRPO (2025) • No Venue
  Nikolay Blagoev, Oğuzhan Ersoy, Lydia Yiyu Chen
• Shorter But Not Worse: Frugal Reasoning Via Easy Samples As Length Regularizers In Math RLVR (2025) • No Venue
  Bounhar et al.
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  Bredis et al.
• Soft Tokens, Hard Truths (2025) • No Venue
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• Training-free Group Relative Policy Optimization (2025) • No Venue
  Cai et al.
• Smartsnap: Proactive Evidence Seeking For Self-verifying Agents (2025) • No Venue
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• Webscale-rl: Automated Data Pipeline For Scaling RL Data To Pretraining Levels (2025) • No Venue
  Cen et al.
• Scaling Open-ended Reasoning To Predict The Future (2025) • No Venue
  Chandak et al.
• THOR: Tool-integrated Hierarchical Optimization Via RL For Mathematical Reasoning (2025) • No Venue
  Chang et al.
• Acereason-nemotron: Advancing Math And Code Reasoning Through Reinforcement Learning (2025) • No Venue
  Chen et al.
• A^2FM: An Adaptive Agent Foundation Model For Tool-aware Hybrid Reasoning (2025) • No Venue
  Chen et al.
• Advancing Multimodal Reasoning: From Optimized Cold Start To Staged Reinforcement Learning (2025) • No Venue
  Chen et al.
• Blip3o-next: Next Frontier Of Native Image Generation (2025) • No Venue
  Chen et al.
• ERA: Transforming Vlms Into Embodied Agents Via Embodied Prior Learning And Online Reinforcement Learning (2025) • No Venue
  Chen et al.
• Enigmata: Scaling Logical Reasoning In Large Language Models With Synthetic Verifiable Puzzles (2025) • No Venue
  Chen et al.
• Flash-dmd: Towards High-fidelity Few-step Image Generation With Efficient Distillation And Joint Reinforcement Learning (2025) • No Venue
  Chen et al.
• Exploring The Effect Of Reinforcement Learning On Video Understanding: Insights From Seed-bench-r1 (2025) • No Venue
  Chen et al.
• Exploration V.s. Exploitation: Rethinking RLVR Through Clipping, Entropy, And Spurious Reward (2025) • No Venue
  Chen et al.
• Geopqa: Bridging The Visual Perception Gap In Mllms For Geometric Reasoning (2025) • No Venue
  Chen et al.
• G1: Bootstrapping Perception And Reasoning Abilities Of Vision-language Model Via Reinforcement Learning (2025) • No Venue
  Chen et al.
• GRPO-CARE: Consistency-aware Reinforcement Learning For Multimodal Reasoning (2025) • No Venue
  Chen et al.
• Iterresearch: Rethinking Long-horizon Agents Via Markovian State Reconstruction (2025) • No Venue
  Chen et al.
• Judgelrm: Large Reasoning Models As A Judge (2025) • No Venue
  Chen et al.
• Mico: Multi-image Contrast For Reinforcement Visual Reasoning (2025) • No Venue
  Chen et al.
• RM-R1: Reward Modeling As Reasoning (2025) • No Venue
  Chen et al.
• Pass@k Training For Adaptively Balancing Exploration And Exploitation Of Large Reasoning Models (2025) • No Venue
  Chen et al.
• P1: Mastering Physics Olympiads With Reinforcement Learning (2025) • No Venue
  Chen et al.
• Research: Learning To Reason With Search For Llms Via Reinforcement Learning (2025) • No Venue
  Chen et al.
• Spacetools: Tool-augmented Spatial Reasoning Via Double Interactive RL (2025) • No Venue
  Chen et al.
• Seedance 1.5 Pro: A Native Audio-visual Joint Generation Foundation Model (2025) • No Venue
  Chen et al.
• Seed-prover 1.5: Mastering Undergraduate-level Theorem Proving Via Learning From Experience (2025) • No Venue
  Chen et al.
• SFT Or RL? An Early Investigation Into Training R1-like Reasoning Large Vision-language Models (2025) • No Venue
  Chen et al.
• SPC: Evolving Self-play Critic Via Adversarial Games For LLM Reasoning (2025) • No Venue
  Chen et al.
• Ui-ins: Enhancing GUI Grounding With Multi-perspective Instruction-as-reasoning (2025) • No Venue
  Chen et al.
• Π_rl: Online RL Fine-tuning For Flow-based Vision-language-action Models (2025) • No Venue
  Chen et al.
• Agent-r1: Training Powerful LLM Agents With End-to-end Reinforcement Learning (2025) • No Venue
  Cheng et al.
• Reasoning With Exploration: An Entropy Perspective (2025) • No Venue
  Cheng et al.
• Optimizing Length Compression In Large Reasoning Models (2025) • No Venue
  Cheng et al.
• Revisiting Reinforcement Learning For LLM Reasoning From A Cross-domain Perspective (2025) • No Venue
  Cheng et al.
• Prosperity Before Collapse: How Far Can Off-policy RL Reach With Stale Data On Llms? (2025) • No Venue
  Haizhong Zheng, Jiawei Zhao, Bedi Chen
• Parallel-r1: Towards Parallel Thinking Via Reinforcement Learning (2025) • No Venue
  Zheng et al.
• Humanomniv2: From Understanding To Omni-modal Reasoning With Context (2025) • No Venue
  Yang et al.
• From Code Foundation Models To Agents And Applications: A Practical Guide To Code Intelligence (2025) • No Venue
  Yang et al.
• Deepcritic: Deliberate Critique With Large Language Models (2025) • No Venue
  Yang et al.
• DCPO: Dynamic Clipping Policy Optimization (2025) • No Venue
  Yang et al.
• ARIA: Training Language Agents With Intention-driven Reward Aggregation (2025) • No Venue
  Yang et al.
• Can Understanding And Generation Truly Benefit Together -- Or Just Coexist? (2025) • No Venue
  Yan et al.
• Simpletir: End-to-end Reinforcement Learning For Multi-turn Tool-integrated Reasoning (2025) • No Venue
  Xue et al.
• General Agentic Memory Via Deep Research (2025) • No Venue
  Yan et al.
• Learning To Reason Under Off-policy Guidance (2025) • No Venue
  Yan et al.
• Re:form -- Reducing Human Priors In Scalable Formal Software Verification With RL In Llms: A Preliminary Study On Dafny (2025) • No Venue
  Yan et al.
• Kwai Keye-vl 1.5 Technical Report (2025) • No Venue
  Yang et al.
• Verifybench: Benchmarking Reference-based Reward Systems For Large Language Models (2025) • No Venue
  Yan et al.
• Soft-grpo: Surpassing Discrete-token LLM Reinforcement Learning Via Gumbel-reparameterized Soft-thinking Policy Optimization (2025) • No Venue
  Zhi Zheng, Wee Sun Lee
• Pretrainzero: Reinforcement Active Pretraining (2025) • No Venue
  Xing et al.
• Logic-rl: Unleashing LLM Reasoning With Rule-based Reinforcement Learning (2025) • No Venue
  Xie et al.
• Towards System 2 Reasoning In Llms: Learning How To Think With Meta Chain-of-though (2025) • No Venue
  Xiang et al.
• Interleaved Reasoning For Large Language Models Via Reinforcement Learning (2025) • No Venue
  Xie et al.
• Play To Generalize: Learning To Reason Through Game Play (2025) • No Venue
  Xie et al.
• Teaching Language Models To Critique Via Reinforcement Learning (2025) • No Venue
  Xie et al.
• Caprl: Stimulating Dense Image Caption Capabilities Via Reinforcement Learning (2025) • No Venue
  Xing et al.
• Surrogate Signals From Format And Length: Reinforcement Learning For Solving Mathematical Problems Without Ground Truth Answers (2025) • No Venue
  Xin et al.
• Scaling Up Multi-turn Off-policy RL And Multi-agent Tree Search For LLM Step-provers (2025) • No Venue
  Xin et al.
• Self-rewarding Correction For Mathematical Reasoning (2025) • No Venue
  Xiong et al.
• Flag-trader: Fusion Llm-agent With Gradient-based Reinforcement Learning For Financial Trading (2025) • No Venue
  Xiong et al.
• A Minimalist Approach To LLM Reasoning: From Rejection Sampling To Reinforce (2025) • No Venue
  Xiong et al.
• Reinforce-ada: An Adaptive Sampling Framework For Reinforce-style LLM Training (2025) • No Venue
  Xiong et al.
• Stepwiser: Stepwise Generative Judges For Wiser Reasoning (2025) • No Venue
  Xiong et al.
• Reasongen-r1: Cot For Autoregressive Image Generation Models Through SFT And RL (2025) • No Venue
  Zhang et al.
• Dancegrpo: Unleashing GRPO On Visual Generation (2025) • No Venue
  Xue et al.
• Comas: Co-evolving Multi-agent Systems Via Interaction Rewards (2025) • No Venue
  Xue et al.
• Visulogic: A Benchmark For Evaluating Visual Reasoning In Multi-modal Large Language Models (2025) • No Venue
  Xu et al.
• Tiny Model, Big Logic: Diversity-driven Optimization Elicits Large-model Reasoning Ability In Vibethinker-1.5b (2025) • No Venue
  Xu et al.
• Thinking-free Policy Initialization Makes Distilled Reasoning Models More Effective And Efficient Reasoners (2025) • No Venue
  Xu et al.
• Tinyv: Reducing False Negatives In Verification Improves RL For LLM Reasoning (2025) • No Venue
  Xu et al.
• Visual Planning: Let's Think Only With Images (2025) • No Venue
  Xu et al.
• Towards Large Reasoning Models: A Survey Of Reinforced Reasoning With Large Language Models (2025) • No Venue
  Xu et al.
• Mpbench: A Comprehensive Multimodal Reasoning Benchmark For Process Errors Identification (2025) • No Venue
  Xu et al.
• Single-stream Policy Optimization (2025) • No Venue
  Zhongwen Xu, Zihan Ding
• Probing Scientific General Intelligence Of Llms With Scientist-aligned Workflows (2025) • No Venue
  Xu et al.
• Phi-4-mini-reasoning: Exploring The Limits Of Small Reasoning Language Models In Math (2025) • No Venue
  Xu et al.
• Mind The Gap: Bridging Thought Leap For Improved Chain-of-thought Tuning (2025) • No Venue
  Xu et al.
• ASPO: Asymmetric Importance Sampling Policy Optimization (2025) • No Venue
  Wang et al.
• Adatooler-v: Adaptive Tool-use For Images And Videos (2025) • No Venue
  Wang et al.
• Benefits And Pitfalls Of Reinforcement Learning For Language Model Planning: A Theoretical Perspective (2025) • No Venue
  Wang et al.
• Chem-r: Learning To Reason As A Chemist (2025) • No Venue
  Wang et al.
• Co-evolving LLM Coder And Unit Tester Via Reinforcement Learning (2025) • No Venue
  Wang et al.
• DUMP: Automated Distribution-level Curriculum Learning For Rl-based LLM Post-training (2025) • No Venue
  Wang et al.
• Diversity-enhanced Reasoning For Subjective Questions (2025) • No Venue
  Wang et al.
• Emergent Hierarchical Reasoning In Llms Through Reinforcement Learning (2025) • No Venue
  Wang et al.
• Game-tars: Pretrained Foundation Models For Scalable Generalist Multimodal Game Agents (2025) • No Venue
  Wang et al.
• Geovista: Web-augmented Agentic Visual Reasoning For Geolocalization (2025) • No Venue
  Wang et al.
• Let It Flow: Agentic Crafting On Rock And Roll, Building The ROME Model Within An Open Agentic Learning Ecosystem (2025) • No Venue
  Wang et al.
• Infimed-orbit: Aligning Llms On Open-ended Complex Tasks Via Rubric-based Incremental Training (2025) • No Venue
  Wang et al.
• Information Gain-based Policy Optimization: A Simple And Effective Approach For Multi-turn LLM Agents (2025) • No Venue
  Wang et al.
• Learning To Align, Aligning To Learn: A Unified Approach For Self-optimized Alignment (2025) • No Venue
  Wang et al.
• Internvl3.5: Advancing Open-source Multimodal Models In Versatility, Reasoning, And Efficiency (2025) • No Venue
  Wang et al.
• Jigsaw-r1: A Study Of Rule-based Visual Reinforcement Learning With Jigsaw Puzzles (2025) • No Venue
  Wang et al.
• Loongrl:reinforcement Learning For Advanced Reasoning Over Long Contexts (2025) • No Venue
  Wang et al.
• Llava-critic-r1: Your Critic Model Is Secretly A Strong Policy Model (2025) • No Venue
  Wang et al.
• Mem-α: Learning Memory Construction Via Reinforcement Learning (2025) • No Venue
  Wang et al.
• Monet: Reasoning In Latent Visual Space Beyond Images And Language (2025) • No Venue
  Wang et al.
• Nemotron-cascade: Scaling Cascaded Reinforcement Learning For General-purpose Reasoning Models (2025) • No Venue
  Wang et al.
• Octothinker: Mid-training Incentivizes Reinforcement Learning Scaling (2025) • No Venue
  Wang et al.
• OTC: Optimal Tool Calls Via Reinforcement Learning (2025) • No Venue
  Wang et al.
• RAGEN: Understanding Self-evolution In LLM Agents Via Multi-turn Reinforcement Learning (2025) • No Venue
  Wang et al.
• Pref-grpo: Pairwise Preference Reward-based GRPO For Stable Text-to-image Reinforcement Learning (2025) • No Venue
  Wang et al.
• Perception-aware Policy Optimization For Multimodal Reasoning (2025) • No Venue
  Wang et al.
• Reinforcement Learning For Reasoning In Large Language Models With One Training Example (2025) • No Venue
  Wang et al.
• Revolutionizing Reinforcement Learning Framework For Diffusion Large Language Models (2025) • No Venue
  Wang et al.
• Resa: Transparent Reasoning Models Via Saes (2025) • No Venue
  Wang et al.
• Reverse-engineered Reasoning For Open-ended Generation (2025) • No Venue
  Wang et al.
• RLVER: Reinforcement Learning With Verifiable Emotion Rewards For Empathetic Agents (2025) • No Venue
  Wang et al.
• Scireasoner: Laying The Scientific Reasoning Ground Across Disciplines (2025) • No Venue
  Wang et al.
• Simplear: Pushing The Frontier Of Autoregressive Visual Generation Through Pretraining, SFT, And RL (2025) • No Venue
  Wang et al.
• Temporal Self-rewarding Language Models: Decoupling Chosen-rejected Via Past-future (2025) • No Venue
  Wang et al.
• SPG: Sandwiched Policy Gradient For Masked Diffusion Language Models (2025) • No Venue
  Wang et al.
• Stabilizing Knowledge, Promoting Reasoning: Dual-token Constraints For RLVR (2025) • No Venue
  Wang et al.
• Technical Report Of Telechat2, Telechat2.5 And T1 (2025) • No Venue
  Wang et al.
• Vl-rethinker: Incentivizing Self-reflection Of Vision-language Models With Reinforcement Learning (2025) • No Venue
  Wang et al.
• VEM: Environment-free Exploration For Training GUI Agent With Value Environment Model (2025) • No Venue
  Zheng et al.
• Agent0: Unleashing Self-evolving Agents From Zero Data Via Tool-integrated Reasoning (2025) • No Venue
  Xia et al.
• Visionary-r1: Mitigating Shortcuts In Visual Reasoning With Reinforcement Learning (2025) • No Venue
  Xia et al.
• Agentgym-rl: Training LLM Agents For Long-horizon Decision Making Through Multi-turn Reinforcement Learning (2025) • No Venue
  Xi et al.
• BAPO: Stabilizing Off-policy Reinforcement Learning For Llms Via Balanced Policy Optimization With Adaptive Clipping (2025) • No Venue
  Xi et al.
• Critique-rl: Training Language Models For Critiquing Through Two-stage Reinforcement Learning (2025) • No Venue
  Xi et al.
• Visualquality-r1: Reasoning-induced Image Quality Assessment Via Reinforcement Learning To Rank (2025) • No Venue
  Wu et al.
• Reinforcement Learning In Vision: A Survey (2025) • No Venue
  Wu et al.
• Reasoning Or Memorization? Unreliable Results Of Reinforcement Learning Due To Data Contamination (2025) • No Venue
  Wu et al.
• Quantile Advantage Estimation For Entropy-safe Reasoning (2025) • No Venue
  Wu et al.
• Recode: Updating Code API Knowledge With Reinforcement Learning (2025) • No Venue
  Wu et al.
• Rewarddance: Reward Scaling In Visual Generation (2025) • No Venue
  Wu et al.
• EPO: Entropy-regularized Policy Optimization For LLM Agents Reinforcement Learning (2025) • No Venue
  Wujiang et al.
• Webdancer: Towards Autonomous Information Seeking Agency (2025) • No Venue
  Wu et al.
• Free Lunch Alignment Of Text-to-image Diffusion Models Without Preference Image Pairs (2025) • No Venue
  Xian et al.
• Rlvr-world: Training World Models With Reinforcement Learning (2025) • No Venue
  Wu et al.
• Sailing AI By The Stars: A Survey Of Learning From Rewards In Post-training And Test-time Scaling Of Large Language Models (2025) • No Venue
  Xiaobao Wu
• Visual Jigsaw Post-training Improves Mllms (2025) • No Venue
  Wu et al.
• The Invisible Leash: Why RLVR May Not Escape Its Origin (2025) • No Venue
  Wu et al.
• Synthrl: Scaling Visual Reasoning With Verifiable Data Synthesis (2025) • No Venue
  Wu et al.
• Superwriter: Reflection-driven Long-form Generation With Large Language Models (2025) • No Venue
  Wu et al.
• Step-audio 2 Technical Report (2025) • No Venue
  Wu et al.
• J1: Incentivizing Thinking In Llm-as-a-judge Via Reinforcement Learning (2025) • No Venue
  Whitehouse et al.
• Deepsearch: Overcome The Bottleneck Of Reinforcement Learning With Verifiable Rewards Via Monte Carlo Tree Search (2025) • No Venue
  Wu et al.
• Aha Moment Revisited: Are Vlms Truly Capable Of Self Verification In Inference-time Scaling? (2025) • No Venue
  Wu et al.
• OPV: Outcome-based Process Verifier For Efficient Long Chain-of-thought Verification (2025) • No Venue
  Wu et al.
• On The Generalization Of SFT: A Reinforcement Learning Perspective With Reward Rectification (2025) • No Venue
  Wu et al.
• Native Parallel Reasoner: Reasoning In Parallelism Via Self-distilled Reinforcement Learning (2025) • No Venue
  Wu et al.
• Multiplayer Nash Preference Optimization (2025) • No Venue
  Wu et al.
• Mmsearch-r1: Incentivizing Lmms To Search (2025) • No Venue
  Wu et al.
• Longwriter-zero: Mastering Ultra-long Text Generation Via Reinforcement Learning (2025) • No Venue
  Wu et al.
• LAPO: Internalizing Reasoning Efficiency Via Length-adaptive Policy Optimization (2025) • No Venue
  Wu et al.
• It Takes Two: Your GRPO Is Secretly DPO (2025) • No Venue
  Wu et al.
• Editreward: A Human-aligned Reward Model For Instruction-guided Image Editing (2025) • No Venue
  Wu et al.
• Time Is A Feature: Exploiting Temporal Dynamics In Diffusion Language Models (2025) • No Venue
  Wang et al.
• Think Or Not? Selective Reasoning Via Reinforcement Learning For Vision-language Models (2025) • No Venue
  Wang et al.
• Tina: Tiny Reasoning Models Via Lora (2025) • No Venue
  Wang et al.
• Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation And Methodology (2025) • No Venue
  Wang et al.
• UI-TARS-2 Technical Report: Advancing GUI Agent With Multi-turn Reinforcement Learning (2025) • No Venue
  Wang et al.
• Unified Reward Model For Multimodal Understanding And Generation (2025) • No Venue
  Wang et al.
• Vicrit: A Verifiable Reinforcement Learning Proxy Task For Visual Perception In Vlms (2025) • No Venue
  Wang et al.
• Unleashing The Reasoning Potential Of Pre-trained Llms By Critique Fine-tuning On One Problem (2025) • No Venue
  Wang et al.
• Vision-zero: Scalable VLM Self-improvement Via Strategic Gamified Self-play (2025) • No Venue
  Wang et al.
• Worldpm: Scaling Human Preference Modeling (2025) • No Venue
  Wang et al.
• Vr-thinker: Boosting Video Reward Models Through Thinking-with-image Reasoning (2025) • No Venue
  Wang et al.
• VRAG-RL: Empower Vision-perception-based RAG For Visually Rich Information Understanding Via Iterative Reasoning With Reinforcement Learning (2025) • No Venue
  Wang et al.
• World Modeling Makes A Better Planner: Dual Preference Optimization For Embodied Task Planning (2025) • No Venue
  Wang et al.
• Laser: Reinforcement Learning With Last-token Self-rewarding (2025) • No Venue
  Yang et al.
• Look Before You Leap: A Gui-critic-r1 Model For Pre-operative Error Diagnosis In GUI Automation (2025) • No Venue
  Wanyan et al.
• Advancing Multimodal Reasoning Via Reinforcement Learning With Cold Start (2025) • No Venue
  Wei et al.
• Postercopilot: Toward Layout Reasoning And Controllable Editing For Professional Graphic Design (2025) • No Venue
  Wei et al.
• Open Vision Reasoner: Transferring Linguistic Cognitive Behavior For Visual Reasoning (2025) • No Venue
  Wei et al.
• Unsupervised Post-training For Multi-modal LLM Reasoning Via GRPO (2025) • No Venue
  Wei et al.
• Truthrl: Incentivizing Truthful Llms Via Reinforcement Learning (2025) • No Venue
  Wei et al.
• SWE-RL: Advancing LLM Reasoning Via Reinforcement Learning On Open Software Evolution (2025) • No Venue
  Wei et al.
• Webagent-r1: Training Web Agents Via End-to-end Multi-turn Reinforcement Learning (2025) • No Venue
  Wei et al.
• SIRI: Scaling Iterative Reinforcement Learning With Interleaved Compression (2025) • No Venue
  Wen et al.
• Reinforcement Learning With Verifiable Rewards Implicitly Incentivizes Correct Reasoning In Base Llms (2025) • No Venue
  Wen et al.
• Light-r1: Curriculum SFT, DPO And RL For Long COT From Scratch And Beyond (2025) • No Venue
  Wen et al.
• Conan: Progressive Learning To Reason Like A Detective Over Multi-scale Visual Evidence (2025) • No Venue
  Ouyang et al.
• Pre-dpo: Improving Data Utilization In Direct Preference Optimization Using A Guiding Reference Model (2025) • No Venue
  Pan et al.
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  Team et al.
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  Team et al.
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  Team et al.
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  Team et al.
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  Team et al.
• Mimo: Unlocking The Reasoning Potential Of Language Model -- From Pretraining To Posttraining (2025) • No Venue
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• Ego-r1: Chain-of-tool-thought For Ultra-long Egocentric Video Reasoning (2025) • No Venue
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• More Thought, Less Accuracy? On The Dual Nature Of Reasoning In Vision-language Models (2025) • No Venue
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  Toby Simonds, Akira Yoshiyama
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  Shreyas Singh, Kunal Singh, Pradeep Moturi
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• Fastcurl: Curriculum Reinforcement Learning With Progressive Context Extension For Efficient Training R1-like Reasoning Models (2025) • No Venue
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• RL Makes Mllms See Better Than SFT (2025) • No Venue
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  Nikita Sorokin, Ivan Sedykh, Valentin Malykh
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  Stephen Chung, Wenyu Du, Jie Fu
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  Gongfan Fang, Xinyin Ma, Xinchao Wang
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• Rewardmap: Tackling Sparse Rewards In Fine-grained Visual Reasoning Via Multi-stage Reinforcement Learning (2025) • No Venue
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• Memory In The Age Of AI Agents (2025) • No Venue
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  Hu et al.
• Brorl: Scaling Reinforcement Learning Via Broadened Exploration (2025) • No Venue
  Hu et al.
• Lmgame-bench: How Good Are Llms At Playing Games? (2025) • No Venue
  Hu et al.
• Text2world: Benchmarking Large Language Models For Symbolic World Model Generation (2025) • No Venue
  Hu et al.
• Repair-r1: Better Test Before Repair (2025) • No Venue
  Haichuan Hu, Xiaochen Xie, Quanjun Zhang
• Quest: Incentivizing Llms To Generate Difficult Problems (2025) • No Venue
  Hu et al.
• REINFORCE++: A Simple And Efficient Approach For Aligning Large Language Models (2025) • No Venue
  Jian Hu
• Vision-r1: Incentivizing Reasoning Capability In Multimodal Large Language Models (2025) • No Venue
  Huang et al.
• Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability Of LLM Reasoning (2025) • No Venue
  Huan et al.
• High-resolution Visual Reasoning Via Multi-turn Grounding-based Reinforcement Learning (2025) • No Venue
  Huang et al.
• Adactrl: Towards Adaptive And Controllable Reasoning Via Difficulty-aware Budgeting (2025) • No Venue
  Huang et al.
• 3D-R1: Enhancing Reasoning In 3D Vlms For Unified Scene Understanding (2025) • No Venue
  Ting Huang, Zeyu Zhang, Hao Tang
• R-zero: Self-evolving Reasoning LLM From Zero Data (2025) • No Venue
  Huang et al.
• Lean And Mean: Decoupled Value Policy Optimization With Global Value Guidance (2025) • No Venue
  Huang et al.
• Loong: Synthesize Long Chain-of-thoughts At Scale Through Verifiers (2025) • No Venue
  Huang et al.
• Low-probability Tokens Sustain Exploration In Reinforcement Learning With Verifiable Reward (2025) • No Venue
  Huang et al.
• Qerl: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning For Llms (2025) • No Venue
  Huang et al.
• Spotlight On Token Perception For Multimodal Reinforcement Learning (2025) • No Venue
  Huang et al.
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  Huang et al.
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  Huang et al.
• SPAM: Spike-aware Adam With Momentum Reset For Stable LLM Training (2025) • No Venue
  Huang et al.
• Thinkact: Vision-language-action Reasoning Via Reinforced Visual Latent Planning (2025) • No Venue
  Huang et al.
• Taming Hallucinations: Boosting Mllms' Video Understanding Via Counterfactual Video Generation (2025) • No Venue
  Huang et al.
• Active-o3: Empowering Multimodal Large Language Models With Active Perception Via GRPO (2025) • No Venue
  Zhu et al.
• Convsearch-r1: Enhancing Query Reformulation For Conversational Search With Reasoning Via Reinforcement Learning (2025) • No Venue
  Zhu et al.
• Dirl: An Efficient Post-training Framework For Diffusion Language Models (2025) • No Venue
  Zhu et al.
• Flowrl: Matching Reward Distributions For LLM Reasoning (2025) • No Venue
  Zhu et al.
• Emergent Temporal Abstractions In Autoregressive Models Enable Hierarchical Reinforcement Learning (2025) • No Venue
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  Jeddi et al.
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  Ji et al.
• Almost Surely Safe Alignment Of Large Language Models At Inference-time (2025) • No Venue
  Ji et al.
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  Ji et al.
• Wavreward: Spoken Dialogue Models With Generalist Reward Evaluators (2025) • No Venue
  Ji et al.
• Dianjin-r1: Evaluating And Enhancing Financial Reasoning In Large Language Models (2025) • No Venue
  Zhu et al.
• Think Only When You Need With Large Hybrid-reasoning Models (2025) • No Venue
  Jiang et al.
• Meta-rl Induces Exploration In Language Agents (2025) • No Venue
  Jiang et al.
• Alphadrive: Unleashing The Power Of Vlms In Autonomous Driving Via Reinforcement Learning And Reasoning (2025) • No Venue
  Jiang et al.
• T2I-R1: Reinforcing Image Generation With Collaborative Semantic-level And Token-level Cot (2025) • No Venue
  Jiang et al.
• R-4B: Incentivizing General-purpose Auto-thinking Capability In Mllms Via Bi-mode Annealing And Reinforce Learning (2025) • No Venue
  Jiang et al.
• S3: You Don't Need That Much Data To Train A Search Agent Via RL (2025) • No Venue
  Jiang et al.
• VLM-R^3: Region Recognition, Reasoning, And Refinement For Enhanced Multimodal Chain-of-thought (2025) • No Venue
  Jiang et al.
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  Jiang et al.
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  Jiang et al.
• VIDEOP2R: Video Understanding From Perception To Reasoning (2025) • No Venue
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• Omni-reward: Towards Generalist Omni-modal Reward Modeling With Free-form Preferences (2025) • No Venue
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• Mergemix: A Unified Augmentation Paradigm For Visual And Multi-modal Understanding (2025) • No Venue
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  Jin et al.
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  Jing et al.
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  Aayush Karan, Yilun Du
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  Zhu et al.
• Meta-awareness Enhances Reasoning Models: Self-alignment Reinforcement Learning (2025) • No Venue
  Yoonjeon Kim, Doohyuk Jang, Eunho Yang
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  Kim et al.
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• Mini-o3: Scaling Up Reasoning Patterns And Interaction Turns For Visual Search (2025) • No Venue
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  Byung-Kwan Lee, Yu-Chiang Frank Wang, Ryo Hachiuma
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  Lee et al.
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  Leng et al.
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  Li et al.
• Attention Illuminates LLM Reasoning: The Preplan-and-anchor Rhythm Enables Fine-grained Policy Optimization (2025) • No Venue
  Li et al.
• Autotriton: Automatic Triton Programming With Reinforcement Learning In Llms (2025) • No Venue
  Li et al.
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  Li et al.
• DRIVE: Data Curation Best Practices For Reinforcement Learning With Verifiable Reward In Competitive Code Generation (2025) • No Venue
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  Li et al.
• Miromind-m1: An Open-source Advancement In Mathematical Reasoning Via Context-aware Multi-stage Policy Optimization (2025) • No Venue
  Li et al.
• Implicit Actor Critic Coupling Via A Supervised Learning Framework For RLVR (2025) • No Venue
  Li et al.
• Deepagent: A General Reasoning Agent With Scalable Toolsets (2025) • No Venue
  Li et al.
• Cort: Code-integrated Reasoning Within Thinking (2025) • No Venue
  Li et al.
• CRINN: Contrastive Reinforcement Learning For Approximate Nearest Neighbor Search (2025) • No Venue
  Li et al.
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  Li et al.
• Editthinker: Unlocking Iterative Reasoning For Any Image Editor (2025) • No Venue
  Li et al.
• Judging With Confidence: Calibrating Autoraters To Preference Distributions (2025) • No Venue
  Li et al.
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  Li et al.
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  Li et al.
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  Li et al.
• Knapsack RL: Unlocking Exploration Of Llms Via Optimizing Budget Allocation (2025) • No Venue
  Li et al.
• Optimus-3: Towards Generalist Multimodal Minecraft Agents With Scalable Task Experts (2025) • No Venue
  Li et al.
• Mol-r1: Towards Explicit Long-cot Reasoning In Molecule Discovery (2025) • No Venue
  Li et al.
• Perception, Reason, Think, And Plan: A Survey On Large Multimodal Reasoning Models (2025) • No Venue
  Li et al.
• Relook: Vision-grounded RL With A Multimodal LLM Critic For Agentic Web Coding (2025) • No Venue
  Li et al.
• Reinforcement Learning On Pre-training Data (2025) • No Venue
  Li et al.
• REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning In Long-form Video Understanding (2025) • No Venue
  Li et al.
• Revseg: Incentivizing The Reasoning Chain For Video Segmentation With Reinforcement Learning (2025) • No Venue
  Li et al.
• STAR-R1: Spatial Transformation Reasoning By Reinforcing Multimodal Llms (2025) • No Venue
  Li et al.
• Simplevla-rl: Scaling VLA Training Via Reinforcement Learning (2025) • No Venue
  Li et al.
• Self-rewarding Vision-language Model Via Reasoning Decomposition (2025) • No Venue
  Li et al.
• Search-o1: Agentic Search-enhanced Large Reasoning Models (2025) • No Venue
  Li et al.
• Test-time Preference Optimization: On-the-fly Alignment Via Iterative Textual Feedback (2025) • No Venue
  Li et al.
• Staying In The Sweet Spot: Responsive Reasoning Evolution Via Capability-adaptive Hint Scaffolding (2025) • No Venue
  Li et al.
• Swarmsys: Decentralized Swarm-inspired Agents For Scalable And Adaptive Reasoning (2025) • No Venue
  Li et al.
• Tempsamp-r1: Effective Temporal Sampling With Reinforcement Fine-tuning For Video Llms (2025) • No Venue
  Li et al.
• Videochat-r1: Enhancing Spatio-temporal Perception Via Reinforcement Fine-tuning (2025) • No Venue
  Li et al.
• Uni-moe-2.0-omni: Scaling Language-centric Omnimodal Large Model With Advanced Moe, Training And Data (2025) • No Venue
  Li et al.
• Treepo: Bridging The Gap Of Policy Optimization And Efficacy And Inference Efficiency With Heuristic Tree-based Modeling (2025) • No Venue
  Li et al.
• Turn-ppo: Turn-level Advantage Estimation With PPO For Improved Multi-turn RL In Agentic Llms (2025) • No Venue
  Li et al.
• Uniworld-v2: Reinforce Image Editing With Diffusion Negative-aware Finetuning And MLLM Implicit Feedback (2025) • No Venue
  Li et al.
• Veripo: Cultivating Long Reasoning In Video-llms Via Verifier-gudied Iterative Policy Optimization (2025) • No Venue
  Li et al.
• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
  Zhou et al.
• Webthinker: Empowering Large Reasoning Models With Deep Research Capability (2025) • No Venue
  Li et al.
• VLA-RFT: Vision-language-action Reinforcement Fine-tuning With Verified Rewards In World Simulators (2025) • No Venue
  Li et al.
• Websailor-v2: Bridging The Chasm To Proprietary Agents Via Synthetic Data And Scalable Reinforcement Learning (2025) • No Venue
  Li et al.
• Zebra-cot: A Dataset For Interleaved Vision Language Reasoning (2025) • No Venue
  Li et al.
• Wirelessmathlm: Teaching Mathematical Reasoning For Llms In Wireless Communications With Reinforcement Learning (2025) • No Venue
  Li et al.
• Beyond Pass@1: Self-play With Variational Problem Synthesis Sustains RLVR (2025) • No Venue
  Liang et al.
• Euclid's Gift: Enhancing Spatial Perception And Reasoning In Vision-language Models Via Geometric Surrogate Tasks (2025) • No Venue
  Lian et al.
• Threadweaver: Adaptive Threading For Efficient Parallel Reasoning In Language Models (2025) • No Venue
  Lian et al.
• Sws: Self-aware Weakness-driven Problem Synthesis In Reinforcement Learning For LLM Reasoning (2025) • No Venue
  Liang et al.
• Modomodo: Multi-domain Data Mixtures For Multimodal LLM Reinforcement Learning (2025) • No Venue
  Liang et al.
• Can Llms Guide Their Own Exploration? Gradient-guided Reinforcement Learning For LLM Reasoning (2025) • No Venue
  Liang et al.
• Machine Bullshit: Characterizing The Emergent Disregard For Truth In Large Language Models (2025) • No Venue
  Liang et al.
• RLHS: Mitigating Misalignment In RLHF With Hindsight Simulation (2025) • No Venue
  Liang et al.
• Think In Games: Learning To Reason In Games Via Reinforcement Learning With Large Language Models (2025) • No Venue
  Liao et al.
• EHR-R1: A Reasoning-enhanced Foundational Language Model For Electronic Health Record Analysis (2025) • No Venue
  Liao et al.
• Improved Visual-spatial Reasoning Via R1-zero-like Training (2025) • No Venue
  Liao et al.
• VOGUE: Guiding Exploration With Visual Uncertainty Improves Multimodal Reasoning (2025) • No Venue
  Liu et al.
• Boundary-guided Policy Optimization For Memory-efficient RL Of Diffusion Large Language Models (2025) • No Venue
  Lin et al.
• Understanding Tool-integrated Reasoning (2025) • No Venue
  Heng Lin, Zhongwen Xu
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  Lin et al.
• Embrace-3k: Embodied Reasoning And Action In Complex Environments (2025) • No Venue
  Lin et al.
• Jarvisart: Liberating Human Artistic Creativity Via An Intelligent Photo Retouching Agent (2025) • No Venue
  Lin et al.
• Flow-grpo: Training Flow Matching Models Via Online RL (2025) • No Venue
  Liu et al.
• Acereason-nemotron 1.1: Advancing Math And Code Reasoning Through SFT And RL Synergy (2025) • No Venue
  Liu et al.
• Agent0-vl: Exploring Self-evolving Agent For Tool-integrated Vision-language Reasoning (2025) • No Venue
  Liu et al.
• Can Large Language Models Capture Human Annotator Disagreements? (2025) • No Venue
  Ni et al.
• Deepmmsearch-r1: Empowering Multimodal Llms In Multimodal Web Search (2025) • No Venue
  Narayan et al.
• Mlgym: A New Framework And Benchmark For Advancing AI Research Agents (2025) • No Venue
  Nathani et al.
• The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks And Prompt Injections (2025) • No Venue
  Nasr et al.
• Sfr-deepresearch: Towards Effective Reinforcement Learning For Autonomously Reasoning Single Agents (2025) • No Venue
  Nguyen et al.
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  Meng et al.
• Multi-agent Tool-integrated Policy Optimization (2025) • No Venue
  Mo et al.
• GUI-360: A Comprehensive Dataset And Benchmark For Computer-using Agents (2025) • No Venue
  Mu et al.
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  Mukherjee et al.
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  Zhou et al.
• Reinforced Visual Perception With Tools (2025) • No Venue
  Zhou et al.
• SWEET-RL: Training Multi-turn LLM Agents On Collaborative Reasoning Tasks (2025) • No Venue
  Zhou et al.
• X-reasoner: Towards Generalizable Reasoning Across Modalities And Domains (2025) • No Venue
  Liu et al.
• Webexplorer: Explore And Evolve For Training Long-horizon Web Agents (2025) • No Venue
  Liu et al.
• Self-challenging Language Model Agents (2025) • No Venue
  Zhou et al.
• Reasoning Palette: Modulating Reasoning Via Latent Contextualization For Controllable Exploration For (v)lms (2025) • No Venue
  Long et al.
• Seeing, Listening, Remembering, And Reasoning: A Multimodal Agent With Long-term Memory (2025) • No Venue
  Long et al.
• Adacot: Pareto-optimal Adaptive Chain-of-thought Triggering Via Reinforcement Learning (2025) • No Venue
  Lou et al.
• Av-reasoner: Improving And Benchmarking Clue-grounded Audio-visual Counting For Mllms (2025) • No Venue
  Lu et al.
• Don't Just Fine-tune The Agent, Tune The Environment (2025) • No Venue
  Lu et al.
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  Lu et al.
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  Lu et al.
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  Lu et al.
• R-horizon: How Far Can Your Large Reasoning Model Really Go In Breadth And Depth? (2025) • No Venue
  Lu et al.
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  Lu et al.
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  Luo et al.
• Reinforcing General Reasoning Without Verifiers (2025) • No Venue
  Zhou et al.
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  Yihong Luo, Tianyang Hu, Jing Tang
• Through The Valley: Path To Effective Long Cot Training For Small Language Models (2025) • No Venue
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• Towards A Unified View Of Large Language Model Post-training (2025) • No Venue
  Lv et al.
• The Climb Carves Wisdom Deeper Than The Summit: On The Noisy Rewards In Learning To Reason (2025) • No Venue
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• Hierarchical Budget Policy Optimization For Adaptive Reasoning (2025) • No Venue
  Lyu et al.
• Exploring The Limit Of Outcome Reward For Learning Mathematical Reasoning (2025) • No Venue
  Lyu et al.
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• Language Models Can Self-improve At State-value Estimation For Better Search (2025) • No Venue
  Ethan Mendes, Alan Ritter
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  Weijia Mao, Zhenheng Yang, Mike Zheng Shou
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• General-reasoner: Advancing LLM Reasoning Across All Domains (2025) • No Venue
  Ma et al.
• One RL To See Them All: Visual Triple Unified Reinforcement Learning (2025) • No Venue
  Ma et al.
• SQL-R1: Training Natural Language To SQL Reasoning Model By Reinforcement Learning (2025) • No Venue
  Ma et al.
• S^2R: Teaching Llms To Self-verify And Self-correct Via Reinforcement Learning (2025) • No Venue
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• Attention As A Compass: Efficient Exploration For Process-supervised RL In Reasoning Models (2025) • No Venue
  Liu et al.
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• CPGD: Toward Stable Rule-based Reinforcement Learning For Language Models (2025) • No Venue
  Liu et al.
• Compassverifier: A Unified And Robust Verifier For Llms Evaluation And Outcome Reward (2025) • No Venue
  Liu et al.
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  Liu et al.
• Logical Reasoning In Large Language Models: A Survey (2025) • No Venue
  Liu et al.
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  Liu et al.
• Infigui-g1: Advancing GUI Grounding With Adaptive Exploration Policy Optimization (2025) • No Venue
  Liu et al.
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  Sijia Liu, Niklas Muennighoff, Kawin Ethayarajh
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• Learn To Reason Efficiently With Adaptive Length-based Reward Shaping (2025) • No Venue
  Liu et al.
• Iterative Value Function Optimization For Guided Decoding (2025) • No Venue
  Liu et al.
• Marsrl: Advancing Multi-agent Reasoning System Via Reinforcement Learning With Agentic Pipeline Parallelism (2025) • No Venue
  Liu et al.
• Longvideoagent: Multi-agent Reasoning With Long Videos (2025) • No Venue
  Liu et al.
• Noisyrollout: Reinforcing Visual Reasoning With Data Augmentation (2025) • No Venue
  Liu et al.
• Part I: Tricks Or Traps? A Deep Dive Into RL For LLM Reasoning (2025) • No Venue
  Liu et al.
• Openrubrics: Towards Scalable Synthetic Rubric Generation For Reward Modeling And LLM Alignment (2025) • No Venue
  Liu et al.
• Othink-mr1: Stimulating Multimodal Generalized Reasoning Capabilities Via Dynamic Reinforcement Learning (2025) • No Venue
  Liu et al.
• Visionreasoner: Unified Visual Perception And Reasoning Via Reinforcement Learning (2025) • No Venue
  Liu et al.
• SPIRAL: Self-play On Zero-sum Games Incentivizes Reasoning Via Multi-agent Multi-turn Reinforcement Learning (2025) • No Venue
  Liu et al.
• Prorl: Prolonged Reinforcement Learning Expands Reasoning Boundaries In Large Language Models (2025) • No Venue
  Liu et al.
• Rectifying LLM Thought From Lens Of Optimization (2025) • No Venue
  Liu et al.
• Reasonrank: Empowering Passage Ranking With Strong Reasoning Ability (2025) • No Venue
  Liu et al.
• SPICE: Self-play In Corpus Environments Improves Reasoning (2025) • No Venue
  Liu et al.
• Skywork-reward-v2: Scaling Preference Data Curation Via Human-ai Synergy (2025) • No Venue
  Liu et al.
• Shotbench: Expert-level Cinematic Understanding In Vision-language Models (2025) • No Venue
  Liu et al.
• Spatial-ssrl: Enhancing Spatial Understanding Via Self-supervised Reinforcement Learning (2025) • No Venue
  Liu et al.
• SPARK: Synergistic Policy And Reward Co-evolving Framework (2025) • No Venue
  Liu et al.
• Time-r1: Towards Comprehensive Temporal Reasoning In Llms (2025) • No Venue
  Liu et al.
• Synlogic: Synthesizing Verifiable Reasoning Data At Scale For Learning Logical Reasoning And Beyond (2025) • No Venue
  Liu et al.
• Understanding R1-zero-like Training: A Critical Perspective (2025) • No Venue
  Liu et al.
• Xland-100b: A Large-scale Multi-task Dataset For In-context Reinforcement Learning (2024) • No Venue
  Nikulin et al.
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• Understanding And Diagnosing Deep Reinforcement Learning (2024) • No Venue
  Ezgi Korkmaz
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• Can Large Language Models Explore In-context? (2024) • No Venue
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  Kumar et al.
• TÜLU 3: Pushing Frontiers In Open Language Model Post-training (2024) • No Venue
  Lambert et al.
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• Reft: Reasoning With Reinforced Fine-tuning (2024) • No Venue
  Luong et al.
• Xwin-lm: Strong And Scalable Alignment Practice For Llms (2024) • No Venue
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• RL For Consistency Models: Faster Reward Guided Text-to-image Generation (2024) • No Venue
  Oertell et al.
• Strategist: Learning Strategic Skills By Llms Via Bi-level Tree Search (2024) • No Venue
  Light et al.
• FLAME: Factuality-aware Alignment For Large Language Models (2024) • No Venue
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• Critical Tokens Matter: Token-level Contrastive Estimation Enhence Llm's Reasoning Capability (2024) • No Venue
  Lin et al.
• BALROG: Benchmarking Agentic LLM And VLM Reasoning On Games (2024) • No Venue
  Paglieri et al.
• One Initialization To Rule Them All: Fine-tuning Via Explained Variance Adaptation (2024) • No Venue
  Paischer et al.
• Skywork-reward: Bag Of Tricks For Reward Modeling In Llms (2024) • No Venue
  Liu et al.
• Sample-efficient Alignment For Llms (2024) • No Venue
  Liu et al.
• Rm-bench: Benchmarking Reward Models Of Language Models With Subtlety And Style (2024) • No Venue
  Liu et al.
• Proofread: Fixes All Errors With One Tap (2024) • No Venue
  Liu et al.
• Lipo: Listwise Preference Optimization Through Learning-to-rank (2024) • No Venue
  Liu et al.
• Iterative Length-regularized Direct Preference Optimization: A Case Study On Improving 7B Language Models To GPT-4 Level (2024) • No Venue
  Liu et al.
• Acemath: Advancing Frontier Math Reasoning With Post-training And Reward Modeling (2024) • No Venue
  Liu et al.
• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• In Deep Reinforcement Learning, A Pruned Network Is A Good Network (2024) • No Venue
  Johan Obando-Ceron, Aaron Courville, Pablo Samuel Castro
• Rewardbench: Evaluating Reward Models For Language Modeling (2024) • No Venue
  Lambert et al.
• A Preliminary Study Of O1 In Medicine: Are We Closer To An AI Doctor? (2024) • No Venue
  Xie et al.
• Do Llms Have Political Correctness? Analyzing Ethical Biases And Jailbreak Vulnerabilities In AI Systems (2024) • No Venue
  Isack Lee, Haebin Seong
• Parrot: Pareto-optimal Multi-reward Reinforcement Learning Framework For Text-to-image Generation (2024) • No Venue
  Lee et al.
• Webrl: Training LLM Web Agents Via Self-evolving Online Curriculum Reinforcement Learning (2024) • No Venue
  Qi et al.
• Aligning Large Language Models Via Self-steering Optimization (2024) • No Venue
  Xiang et al.
• Language Models Learn To Mislead Humans Via RLHF (2024) • No Venue
  Wen et al.
• Ensembling Large Language Models With Process Reward-guided Tree Search For Better Complex Reasoning (2024) • No Venue
  Park et al.
• Diffusion Augmented Agents: A Framework For Efficient Exploration And Transfer Learning (2024) • No Venue
  Palo et al.
• Controllable Text Generation For Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• Ivideogpt: Interactive Videogpts Are Scalable World Models (2024) • No Venue
  Wu et al.
• Self-play Preference Optimization For Language Model Alignment (2024) • No Venue
  Wu et al.
• Mix-ln: Unleashing The Power Of Deeper Layers By Combining Pre-ln And Post-ln (2024) • No Venue
  Pengxiang Li, Lu Yin, Shiwei Liu
• Agentgym: Evolving Large Language Model-based Agents Across Diverse Environments (2024) • No Venue
  Xi et al.
• Openai O1 System Card (2024) • No Venue
  Openai et al.
• Qwen2.5 Technical Report (2024) • No Venue
  Qwen et al.
• O1-coder: An O1 Replication For Coding (2024) • No Venue
  Zhang et al.
• Yi-lightning Technical Report (2024) • No Venue
  Ai et al.
• Understanding Alignment In Multimodal Llms: A Comprehensive Study (2024) • No Venue
  Amirloo et al.
• Seed-tts: A Family Of High-quality Versatile Speech Generation Models (2024) • No Venue
  Anastassiou et al.
• Longreward: Improving Long-context Large Language Models With AI Feedback (2024) • No Venue
  Zhang et al.
• Digirl: Training In-the-wild Device-control Agents With Autonomous Reinforcement Learning (2024) • No Venue
  Bai et al.
• Self-rewarding Language Models (2024) • No Venue
  Yuan et al.
• Fintral: A Family Of GPT-4 Level Multimodal Financial Large Language Models (2024) • No Venue
  Bhatia et al.
• Advancing LLM Reasoning Generalists With Preference Trees (2024) • No Venue
  Yuan et al.
• Critic-v: VLM Critics Help Catch VLM Errors In Multimodal Reasoning (2024) • No Venue
  Zhang et al.
• Direct Preference Optimization Of Video Large Multimodal Models From Language Model Reward (2024) • No Venue
  Zhang et al.
• Internlm2 Technical Report (2024) • No Venue
  Cai et al.
• Value-incentivized Preference Optimization: A Unified Approach To Online And Offline RLHF (2024) • No Venue
  Cen et al.
• Free^2guide: Gradient-free Path Integral Control For Enhancing Text-to-video Generation With Large Vision-language Models (2024) • No Venue
  Jaemin Kim, Bryan S Kim, Jong Chul Ye
• Cognitive Map For Language Models: Optimal Planning Via Verbally Representing The World Model (2024) • No Venue
  Kim et al.
• WARP: On The Benefits Of Weight Averaged Rewarded Policies (2024) • No Venue
  Ramé et al.
• Offline Regularised Reinforcement Learning For Large Language Models Alignment (2024) • No Venue
  Richemond et al.
• WARM: On The Benefits Of Weight Averaged Reward Models (2024) • No Venue
  Ramé et al.
• Vineppo: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment (2024) • No Venue
  Kazemnejad et al.
• WPO: Enhancing RLHF With Weighted Preference Optimization (2024) • No Venue
  Zhou et al.
• Yaart: Yet Another ART Rendering Technology (2024) • No Venue
  Kastryulin et al.
• Sleeper Agents: Training Deceptive Llms That Persist Through Safety Training (2024) • No Venue
  Hubinger et al.
• Reward Steering With Evolutionary Heuristics For Decoding-time Alignment (2024) • No Venue
  Hung et al.
• Modulated Intervention Preference Optimization (MIPO): Keep The Easy, Refine The Difficult (2024) • No Venue
  Cheolhun Jang
• Direct Nash Optimization: Teaching Language Models To Self-improve With General Preferences (2024) • No Venue
  Rosset et al.
• Learn Your Reference Model For Real Good Alignment (2024) • No Venue
  Gorbatovski et al.
• Alignment Faking In Large Language Models (2024) • No Venue
  Greenblatt et al.
• Direct Language Model Alignment From Online AI Feedback (2024) • No Venue
  Guo et al.
• A Large Recurrent Action Model: Xlstm Enables Fast Inference For Robotics Tasks (2024) • No Venue
  Schmied et al.
• BOND: Aligning Llms With Best-of-n Distillation (2024) • No Venue
  Sessa et al.
• Transforming And Combining Rewards For Aligning Large Language Models (2024) • No Venue
  Wang et al.
• Show, Don't Tell: Aligning Language Models With Demonstrated Feedback (2024) • No Venue
  Shaikh et al.
• Deepseekmath: Pushing The Limits Of Mathematical Reasoning In Open Language Models (2024) • No Venue
  Shao et al.
• Margin-aware Preference Optimization For Aligning Diffusion Models Without Reference (2024) • No Venue
  Hong et al.
• Nemo-aligner: Scalable Toolkit For Efficient Model Alignment (2024) • No Venue
  Shen et al.
• Pokéllmon: A Human-parity Agent For Pokémon Battles With Large Language Models (2024) • No Venue
  Sihao Hu, Tiansheng Huang, Ling Liu
• Video As The New Language For Real-world Decision Making (2024) • No Venue
  Yang et al.
• New Desiderata For Direct Preference Optimization (2024) • No Venue
  Xiangkun Hu, Tong He, David Wipf
• Openrlhf: An Easy-to-use, Scalable And High-performance RLHF Framework (2024) • No Venue
  Hu et al.
• PERL: Parameter Efficient Reinforcement Learning From Human Feedback (2024) • No Venue
  Sidahmed et al.
• Shortcircuit: Alphazero-driven Circuit Design (2024) • No Venue
  Tsaras et al.
• Teaching Large Language Models To Reason With Reinforcement Learning (2024) • No Venue
  Havrilla et al.
• Bootstrapping Llm-based Task-oriented Dialogue Agents Via Self-talk (2024) • No Venue
  Ulmer et al.
• Secrets Of RLHF In Large Language Models Part II: Reward Modeling (2024) • No Venue
  Wang et al.
• Surveying The Effects Of Quality, Diversity, And Complexity In Synthetic Data From Large Language Models (2024) • No Venue
  Havrilla et al.
• Mdpo: Conditional Preference Optimization For Multimodal Large Language Models (2024) • No Venue
  Wang et al.
• Offline Reinforcement Learning For LLM Multi-step Reasoning (2024) • No Venue
  Wang et al.
• Glore: When, Where, And How To Improve LLM Reasoning Via Global And Local Refinements (2024) • No Venue
  Havrilla et al.
• Popalign: Diversifying Contrasting Patterns For A More Comprehensive Alignment (2024) • No Venue
  Wang et al.
• Improve Vision Language Model Chain-of-thought Reasoning (2024) • No Venue
  Zhang et al.
• Bootstrapping Language Models With DPO Implicit Rewards (2024) • No Venue
  Chen et al.
• Huatuogpt-o1, Towards Medical Complex Reasoning With Llms (2024) • No Venue
  Chen et al.
• ODIN: Disentangled Reward Mitigates Hacking In RLHF (2024) • No Venue
  Chen et al.
• Llama-berry: Pairwise Optimization For O1-like Olympiad-level Mathematical Reasoning (2024) • No Venue
  Zhang et al.
• Direct Preference Optimization Using Sparse Feature-level Constraints (2024) • No Venue
  Yin et al.
• Self-exploring Language Models: Active Preference Elicitation For Online Alignment (2024) • No Venue
  Zhang et al.
• ICE-GRT: Instruction Context Enhancement By Generative Reinforcement Based Transformers (2024) • No Venue
  Zheng et al.
• Mistral-c2f: Coarse To Fine Actor For Analytical And Reasoning Enhancement In RLHF And Effective-merged Llms (2024) • No Venue
  Chen Zheng, Ke Sun, Xun Zhou
• Marco-o1: Towards Open Reasoning Models For Open-ended Solutions (2024) • No Venue
  Zhao et al.
• Videgothink: Assessing Egocentric Video Understanding Capabilities For Embodied AI (2024) • No Venue
  Cheng et al.
• Diffusion Models Are Real-time Game Engines (2024) • No Venue
  Valevski et al.
• RLVF: Learning From Verbal Feedback Without Overgeneralization (2024) • No Venue
  Stephan et al.
• Emma-x: An Embodied Multimodal Action Model With Grounded Chain Of Thought And Look-ahead Spatial Reasoning (2024) • No Venue
  Sun et al.
• PRDP: Proximal Reward Difference Prediction For Large-scale Reward Finetuning Of Diffusion Models (2024) • No Venue
  Deng et al.
• Flow-dpo: Improving LLM Mathematical Reasoning Through Online Multi-agent Learning (2024) • No Venue
  Yihe Deng, Paul Mineiro
• Natural Language Reinforcement Learning (2024) • No Venue
  Feng et al.
• Stop Regressing: Training Value Functions Via Classification For Scalable Deep RL (2024) • No Venue
  Farebrother et al.
• Helpsteer2: Open-source Dataset For Training Top-performing Reward Models (2024) • No Venue
  Wang et al.
• Efficient Exploration For Llms (2024) • No Venue
  Dwaracherla et al.
• Scaling Instructable Agents Across Many Simulated Worlds (2024) • No Venue
  Team et al.
• Stepcoder: Improve Code Generation With Reinforcement Learning From Compiler Feedback (2024) • No Venue
  Dou et al.
• Openbezoar: Small, Cost-effective And Open Models Trained On Mixes Of Instruction Data (2024) • No Venue
  Dissanayake et al.
• Understanding The Performance Gap Between Online And Offline Alignment Algorithms (2024) • No Venue
  Tang et al.
• RLHF Workflow: From Reward Modeling To Online RLHF (2024) • No Venue
  Dong et al.
• Self-improving Robust Preference Optimization (2024) • No Venue
  Choi et al.
• Foundational Autoraters: Taming Large Language Models For Better Automatic Evaluation (2024) • No Venue
  Vu et al.
• Musicrl: Aligning Music Generation To Human Preferences (2024) • No Venue
  Cideron et al.
• Everything Of Thoughts: Defying The Law Of Penrose Triangle For Thought Generation (2023) • No Venue
  Ding et al.
• Enable Language Models To Implicitly Learn Self-improvement From Data (2023) • No Venue
  Wang et al.
• Safe RLHF: Safe Reinforcement Learning From Human Feedback (2023) • No Venue
  Dai et al.
• Aligning Large Multimodal Models With Factually Augmented RLHF (2023) • No Venue
  Sun et al.
• Robogen: Towards Unleashing Infinite Data For Automated Robot Learning Via Generative Simulation (2023) • No Venue
  Wang et al.
• Diffusion Model Alignment Using Direct Preference Optimization (2023) • No Venue
  Wallace et al.
• Mindstorms In Natural Language-based Societies Of Mind (2023) • Arxiv • 14 citations
  Zhuge et al.
• Pangu-agent: A Fine-tunable Generalist Agent With Structured Reasoning (2023) • No Venue
  Christianos et al.
• Axiomatic Preference Modeling For Longform Question Answering (2023) • No Venue
  Rosset et al.
• Vision-language Models Are Zero-shot Reward Models For Reinforcement Learning (2023) • No Venue
  Rocamonde et al.
• Retroformer: Retrospective Large Language Agents With Policy Gradient Optimization (2023) • No Venue
  Yao et al.
• Octopus: Embodied Vision-language Programmer From Environmental Feedback (2023) • No Venue
  Yang et al.
• Deepspeed-chat: Easy, Fast And Affordable RLHF Training Of Chatgpt-like Models At All Scales (2023) • No Venue
  Yao et al.
• A Comprehensive Capability Analysis Of GPT-3 And GPT-3.5 Series Models (2023) • Arxiv • 183 citations
  Ye et al.
• Detecting And Preventing Hallucinations In Large Vision Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 99 citations
  Anisha Gunjal, Jihan Yin, Erhan Bas
• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
  Zheng et al.
• Using Human Feedback To Fine-tune Diffusion Models Without Any Reward Model (2023) • No Venue
  Yang et al.
• Efficient RLHF: Reducing The Memory Usage Of PPO (2023) • No Venue
  Santacroce et al.
• A Long Way To Go: Investigating Length Correlations In RLHF (2023) • No Venue
  Singhal et al.
• Secrets Of RLHF In Large Language Models Part I: PPO (2023) • No Venue
  Zheng et al.
• Reflexion: Language Agents With Verbal Reinforcement Learning (2023) • Arxiv • 251 citations
  Shinn et al.
• RLCD: Reinforcement Learning From Contrast Distillation For Language Model Alignment (2023) • No Venue
  Yang et al.
• Pangu-coder2: Boosting Large Language Models For Code With Ranking Feedback (2023) • No Venue
  Shen et al.
• Rich Human Feedback For Text-to-image Generation (2023) • No Venue
  Liang et al.
• Unleashing The Power Of Pre-trained Language Models For Offline Reinforcement Learning (2023) • No Venue
  Shi et al.
• Q-transformer: Scalable Offline Reinforcement Learning Via Autoregressive Q-functions (2023) • No Venue
  Chebotar et al.
• Contrastive Prefence Learning: Learning From Human Feedback Without RL (2023) • No Venue
  Hejna et al.
• Open Problems And Fundamental Limitations Of Reinforcement Learning From Human Feedback (2023) • No Venue
  Casper et al.
• RLHF-V: Towards Trustworthy Mllms Via Behavior Alignment From Fine-grained Correctional Human Feedback (2023) • No Venue
  Yu et al.
• Nash Learning From Human Feedback (2023) • No Venue
  Munos et al.
• Weak-to-strong Generalization: Eliciting Strong Capabilities With Weak Supervision (2023) • No Venue
  Burns et al.
• Controlled Decoding From Language Models (2023) • No Venue
  Mudgal et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• RLAIF: Scaling Reinforcement Learning From Human Feedback With AI Feedback (2023) • No Venue
  Lee et al.
• YAYI 2: Multilingual Open-source Large Language Models (2023) • No Venue
  Luo et al.
• PASTA: Pretrained Action-state Transformer Agents (2023) • No Venue
  Boige et al.
• Statistical Rejection Sampling Improves Preference Optimization (2023) • No Venue
  Liu et al.
• LASER: LLM Agent With State-space Exploration For Web Navigation (2023) • No Venue
  Ma et al.
• Vision-language Models As A Source Of Rewards (2023) • No Venue
  Baumli et al.
• Lora Fine-tuning Efficiently Undoes Safety Training In Llama 2-chat 70B (2023) • No Venue
  Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
• Towards A Unified Agent With Foundation Models (2023) • No Venue
  Palo et al.
• Qwen Technical Report (2023) • No Venue
  Bai et al.
• Silkie: Preference Distillation For Large Visual Language Models (2023) • No Venue
  Li et al.
• On-policy Distillation Of Language Models: Learning From Self-generated Mistakes (2023) • No Venue
  Agarwal et al.
• FP8-LM: Training FP8 Large Language Models (2023) • No Venue
  Peng et al.
• Tuna: Instruction Tuning Using Feedback From Large Language Models (2023) • No Venue
  Li et al.
• Eureka: Human-level Reward Design Via Coding Large Language Models (2023) • No Venue
  Ma et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• RL4F: Generating Natural Language Feedback With Reinforcement Learning For Repairing Model Outputs (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 20 citations
  Akyürek et al.
• Rest Meets React: Self-improvement For Multi-step Reasoning LLM Agent (2023) • No Venue
  Aksitov et al.
• Stabilizing RLHF Through Advantage Model And Selective Rehearsal (2023) • No Venue
  Peng et al.
• Active Example Selection For In-context Learning (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 72 citations
  Yiming Zhang, Shi Feng, Chenhao Tan
• Improving Alignment Of Dialogue Agents Via Targeted Human Judgements (2022) • Arxiv • 130 citations
  Glaese et al.
• Dynamic Prompt Learning Via Policy Gradient For Semi-structured Mathematical Reasoning (2022) • Arxiv • 41 citations
  Lu et al.

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Safety & Alignment 446 papers #

• Inference-time Physics Alignment Of Video Generative Models With Latent World Models (2026) • No Venue
  Yuan et al.
• Locate, Steer, And Improve: A Practical Survey Of Actionable Mechanistic Interpretability In Large Language Models (2026) • No Venue
  Zhang et al.
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Et-agent: Incentivizing Effective Tool-integrated Reasoning Agent Via Behavior Calibration (2026) • No Venue
  Yifei Chen, Guanting Dong, Zhicheng Dou
• COMPASS: A Framework For Evaluating Organization-specific Policy Alignment In Llms (2026) • No Venue
  Choi et al.
• An Empirical Study On Preference Tuning Generalization And Diversity Under Domain Shift (2026) • No Venue
  Constantinos Karouzos, Xingwei Tan, Nikolaos Aletras
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• Meeplelm: A Virtual Playtester Simulating Diverse Subjective Experiences (2026) • No Venue
  Li et al.
• Agentdog: A Diagnostic Guardrail Framework For AI Agent Safety And Security (2026) • No Venue
  Liu et al.
• Profit: Leveraging High-value Signals In SFT Via Probability-guided Token Selection (2026) • No Venue
  Liu et al.
• The Assistant Axis: Situating And Stabilizing The Default Persona Of Language Models (2026) • No Venue
  Lu et al.
• A Safety Report On GPT-5.2, Gemini 3 Pro, Qwen3-vl, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, And Seedream 4.5 (2026) • No Venue
  Ma et al.
• Paper2rebuttal: A Multi-agent Framework For Transparent Author Response Assistance (2026) • No Venue
  Ma et al.
• A Bertology View Of LLM Orchestrations: Token- And Layer-selective Probes For Efficient Single-pass Classification (2026) • No Venue
  Gonzalo Ariel Meyoyan, Luciano del Corro
• Toolsafe: Enhancing Tool Invocation Safety Of Llm-based Agents Via Proactive Step-level Guardrail And Feedback (2026) • No Venue
  Mou et al.
• Memobrain: Executive Memory As An Agentic Brain For Reasoning (2026) • No Venue
  Hongjin Qian, Zhao Cao, Zheng Liu
• Aligning Agentic World Models Via Knowledgeable Experience Learning (2026) • No Venue
  Ren et al.
• VAR RL Done Right: Tackling Asynchronous Policy Conflicts In Visual Autoregressive Generation (2026) • No Venue
  Sun et al.
• Openrt: An Open-source Red Teaming Framework For Multimodal Llms (2026) • No Venue
  Wang et al.
• Atlas: Orchestrating Heterogeneous Models And Tools For Multi-domain Complex Reasoning (2026) • No Venue
  Wu et al.
• Tag-moe: Task-aware Gating For Unified Generative Mixture-of-experts (2026) • No Venue
  Xu et al.
• Qwen3guard Technical Report (2025) • No Venue
  Zhao et al.
• Omnialign-v: Towards Enhanced Alignment Of Mllms With Human Preference (2025) • No Venue
  Zhao et al.
• CCD: Mitigating Hallucinations In Radiology Mllms Via Clinical Contrastive Decoding (2025) • No Venue
  Zhang et al.
• Reasoning Over Boundaries: Enhancing Specification Alignment Via Test-time Delibration (2025) • No Venue
  Zhang et al.
• Socioverse: A World Model For Social Simulation Powered By LLM Agents And A Pool Of 10 Million Real-world Users (2025) • No Venue
  Zhang et al.
• Verbalized Sampling: How To Mitigate Mode Collapse And Unlock LLM Diversity (2025) • No Venue
  Zhang et al.
• TARS: Minmax Token-adaptive Preference Strategy For Hallucination Reduction In Mllms (2025) • No Venue
  Zhang et al.
• MM-RLHF: The Next Step Forward In Multimodal LLM Alignment (2025) • No Venue
  Zhang et al.
• Inverse Ifeval: Can Llms Unlearn Stubborn Training Conventions To Follow Real Instructions? (2025) • No Venue
  Zhang et al.
• Mlrc-bench: Can Language Agents Solve Machine Learning Research Challenges? (2025) • No Venue
  Zhang et al.
• Metamind: Modeling Human Social Thoughts With Metacognitive Multi-agent Systems (2025) • No Venue
  Zhang et al.
• Moose-chem2: Exploring LLM Limits In Fine-grained Scientific Hypothesis Discovery Via Hierarchical Search (2025) • No Venue
  Yang et al.
• Revisiting Multi-agent Debate As Test-time Scaling: A Systematic Study Of Conditional Effectiveness (2025) • No Venue
  Yang et al.
• Sceneweaver: All-in-one 3D Scene Synthesis With An Extensible And Self-reflective Agent (2025) • No Venue
  Yang et al.
• Are Reasoning Models More Prone To Hallucination? (2025) • No Venue
  Yao et al.
• Ψ-sampler: Initial Particle Sampling For Smc-based Inference-time Reward Alignment In Score Models (2025) • No Venue
  Yoon et al.
• Vision-r1: Evolving Human-free Alignment In Large Vision-language Models Via Vision-guided Reinforcement Learning (2025) • No Venue
  Zhan et al.
• Recgpt Technical Report (2025) • No Venue
  Yi et al.
• Too Good To Be Bad: On The Failure Of Llms To Role-play Villains (2025) • No Venue
  Yi et al.
• Aligning Multimodal LLM With Human Preference: A Survey (2025) • No Venue
  Yu et al.
• Every Question Has Its Own Value: Reinforcement Learning With Explicit Human Values (2025) • No Venue
  Yu et al.
• Guided Self-evolving Llms With Minimal Human Supervision (2025) • No Venue
  Yu et al.
• World Simulation With Video Foundation Models For Physical AI (2025) • No Venue
  Nvidia et al.
• Ask In Any Modality: A Comprehensive Survey On Multimodal Retrieval-augmented Generation (2025) • No Venue
  Abootorabi et al.
• Emergent Misalignment Via In-context Learning: Narrow In-context Examples Can Produce Broadly Misaligned Llms (2025) • No Venue
  Afonin et al.
• Ultraif: Advancing Instruction Following From The Wild (2025) • No Venue
  An et al.
• R3: Robust Rubric-agnostic Reward Models (2025) • No Venue
  Anugraha et al.
• O3-mini Vs Deepseek-r1: Which One Is Safer? (2025) • No Venue
  Arrieta et al.
• CRISP: Persistent Concept Unlearning Via Sparse Autoencoders (2025) • No Venue
  Ashuach et al.
• Extracting Alignment Data In Open Models (2025) • No Venue
  Barbero et al.
• Guardians Of The Agentic System: Preventing Many Shots Jailbreak With Agentic System (2025) • No Venue
  Barua et al.
• Exploiting Instruction-following Retrievers For Malicious Information Retrieval (2025) • No Venue
  Parishad Behnamghader, Nicholas Meade, Siva Reddy
• Value Drifts: Tracing Value Alignment During LLM Post-training (2025) • No Venue
  Bhatia et al.
• Llada2.0: Scaling Up Diffusion Language Models To 100B (2025) • No Venue
  Bie et al.
• Hail To The Thief: Exploring Attacks And Defenses In Decentralised GRPO (2025) • No Venue
  Nikolay Blagoev, Oğuzhan Ersoy, Lydia Yiyu Chen
• Why Do Multi-agent LLM Systems Fail? (2025) • No Venue
  Cemri et al.
• Condor: Enhance LLM Alignment With Knowledge-driven Data Synthesis And Refinement (2025) • No Venue
  Cao et al.
• Rewardsds: Aligning Score Distillation Via Reward-weighted Sampling (2025) • No Venue
  Itay Chachy, Guy Yariv, Sagie Benaim
• Mitigating Object And Action Hallucinations In Multimodal Llms Via Self-augmented Contrastive Alignment (2025) • No Venue
  Chang et al.
• Where LLM Agents Fail And How They Can Learn From Failures (2025) • No Venue
  Zhu et al.
• Flash-dmd: Towards High-fidelity Few-step Image Generation With Efficient Distillation And Joint Reinforcement Learning (2025) • No Venue
  Chen et al.
• Exploration V.s. Exploitation: Rethinking RLVR Through Clipping, Entropy, And Spurious Reward (2025) • No Venue
  Chen et al.
• Longpo: Long Context Self-evolution Of Large Language Models Through Short-to-long Preference Optimization (2025) • No Venue
  Chen et al.
• BARREL: Boundary-aware Reasoning For Factual And Reliable Lrms (2025) • No Venue
  Yang et al.
• Gpt-imgeval: A Comprehensive Benchmark For Diagnosing Gpt4o In Image Generation (2025) • No Venue
  Yan et al.
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  Dahye Kim, Deepti Ghadiyaram
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  Yoonjeon Kim, Doohyuk Jang, Eunho Yang
• Towards Safety Reasoning In Llms: Ai-agentic Deliberation For Policy-embedded Cot Data Creation (2025) • No Venue
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• Token Reduction Should Go Beyond Efficiency In Generative Models -- From Vision, Language To Multimodality (2025) • No Venue
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• The Curious Case Of Analogies: Investigating Analogical Reasoning In Large Language Models (2025) • No Venue
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• Why Safeguarded Ships Run Aground? Aligned Large Language Models' Safety Mechanisms Tend To Be Anchored In The Template Region (2025) • No Venue
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• Offtopiceval: When Large Language Models Enter The Wrong Chat, Almost Always! (2025) • No Venue
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• Audiotrust: Benchmarking The Multifaceted Trustworthiness Of Audio Large Language Models (2025) • No Venue
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• Can Llms Estimate Student Struggles? Human-ai Difficulty Alignment With Proficiency Simulation For Item Difficulty Prediction (2025) • No Venue
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• Have We Unified Image Generation And Understanding Yet? An Empirical Study Of Gpt-4o's Image Generation Ability (2025) • No Venue
  Ning Li, Jingran Zhang, Justin Cui
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• Mixgrpo: Unlocking Flow-based GRPO Efficiency With Mixed ODE-SDE (2025) • No Venue
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• Who's Your Judge? On The Detectability Of Llm-generated Judgments (2025) • No Venue
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• Advances And Challenges In Foundation Agents: From Brain-inspired Intelligence To Evolutionary, Collaborative, And Safe Systems (2025) • No Venue
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  David Noever, Forrest McKee
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• VISTA: A Test-time Self-improving Video Generation Agent (2025) • No Venue
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• Language Surgery In Multilingual Large Language Models (2025) • No Venue
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• Ovis2.5 Technical Report (2025) • No Venue
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• Rethinking Diverse Human Preference Learning Through Principal Component Analysis (2025) • No Venue
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• Openomni: Large Language Models Pivot Zero-shot Omnimodal Alignment Across Language With Real-time Self-aware Emotional Speech Synthesis (2025) • No Venue
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  Sijia Liu, Niklas Muennighoff, Kawin Ethayarajh
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• Olmotrace: Tracing Language Model Outputs Back To Trillions Of Training Tokens (2025) • No Venue
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• Openrubrics: Towards Scalable Synthetic Rubric Generation For Reward Modeling And LLM Alignment (2025) • No Venue
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• Skywork-reward-v2: Scaling Preference Data Curation Via Human-ai Synergy (2025) • No Venue
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• Hybrid Preferences: Learning To Route Instances For Human Vs. AI Feedback (2024) • No Venue
  Miranda et al.
• Aurora-m: The First Open Source Multilingual Language Model Red-teamed According To The U.S. Executive Order (2024) • No Venue
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• Step-controlled DPO: Leveraging Stepwise Error For Enhanced Mathematical Reasoning (2024) • No Venue
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• Law Of Vision Representation In Mllms (2024) • No Venue
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• Scaling Laws For Reward Model Overoptimization In Direct Alignment Algorithms (2024) • No Venue
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• Evaluating And Aligning Codellms On Human Preference (2024) • No Venue
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• Revisit Large-scale Image-caption Data In Pre-training Multimodal Foundation Models (2024) • No Venue
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• Better Alignment With Instruction Back-and-forth Translation (2024) • No Venue
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• Exploring The Role Of Large Language Models In Prompt Encoding For Diffusion Models (2024) • No Venue
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• Adapting While Learning: Grounding Llms For Scientific Problems With Intelligent Tool Usage Adaptation (2024) • No Venue
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• TOFU: A Task Of Fictitious Unlearning For Llms (2024) • No Venue
  Maini et al.
• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once On Gemma 2 (2024) • No Venue
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• Baichuan Alignment Technical Report (2024) • No Venue
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• FLAME: Factuality-aware Alignment For Large Language Models (2024) • No Venue
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• Critical Tokens Matter: Token-level Contrastive Estimation Enhence Llm's Reasoning Capability (2024) • No Venue
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• Granite Guardian (2024) • No Venue
  Padhi et al.
• Sample-efficient Alignment For Llms (2024) • No Venue
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• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• Rewardbench: Evaluating Reward Models For Language Modeling (2024) • No Venue
  Lambert et al.
• Jailbreaking As A Reward Misspecification Problem (2024) • No Venue
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• Do Llms Have Political Correctness? Analyzing Ethical Biases And Jailbreak Vulnerabilities In AI Systems (2024) • No Venue
  Isack Lee, Haebin Seong
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• Cosmicman: A Text-to-image Foundation Model For Humans (2024) • No Venue
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  Pala et al.
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• Self-consistency Preference Optimization (2024) • No Venue
  Prasad et al.
• Reuse Your Rewards: Reward Model Transfer For Zero-shot Cross-lingual Alignment (2024) • No Venue
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• GEB-1.3B: Open Lightweight Large Language Model (2024) • No Venue
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• Survey Of Cultural Awareness In Language Models: Text And Beyond (2024) • No Venue
  Pawar et al.
• Advprompter: Fast Adaptive Adversarial Prompting For Llms (2024) • No Venue
  Paulus et al.
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• WALL-E: World Alignment By Rule Learning Improves World Model-based LLM Agents (2024) • No Venue
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• Self-play Preference Optimization For Language Model Alignment (2024) • No Venue
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• Speechguard: Exploring The Adversarial Robustness Of Multimodal Large Language Models (2024) • No Venue
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• Playground V2.5: Three Insights Towards Enhancing Aesthetic Quality In Text-to-image Generation (2024) • No Venue
  Li et al.
• What If We Recaption Billions Of Web Images With Llama-3? (2024) • No Venue
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• Agent-safetybench: Evaluating The Safety Of LLM Agents (2024) • No Venue
  Zhang et al.
• Openai O1 System Card (2024) • No Venue
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• Controllable Safety Alignment: Inference-time Adaptation To Diverse Safety Requirements (2024) • No Venue
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• Alignment Studio: Aligning Large Language Models To Particular Contextual Regulations (2024) • No Venue
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• MAGID: An Automated Pipeline For Generating Synthetic Multi-modal Datasets (2024) • No Venue
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• Safe Unlearning: A Surprisingly Effective And Generalizable Solution To Defend Against Jailbreak Attacks (2024) • No Venue
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• Understanding Alignment In Multimodal Llms: A Comprehensive Study (2024) • No Venue
  Amirloo et al.
• Response Tuning: Aligning Large Language Models Without Instruction (2024) • No Venue
  Seokhyun An, Hyounghun Kim
• PALP: Prompt Aligned Personalization Of Text-to-image Models (2024) • No Venue
  Arar et al.
• Toxicity Of The Commons: Curating Open-source Pre-training Data (2024) • No Venue
  Arnett et al.
• Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms (2024) • No Venue
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• Safeinfer: Context Adaptive Decoding Time Safety Alignment For Large Language Models (2024) • No Venue
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• Advancing LLM Reasoning Generalists With Preference Trees (2024) • No Venue
  Yuan et al.
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• GRAPE: Generalizing Robot Policy Via Preference Alignment (2024) • No Venue
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• SPARK: Multi-vision Sensor Perception And Reasoning Benchmark For Large-scale Vision-language Models (2024) • No Venue
  Yu et al.
• Direct Preference Optimization Of Video Large Multimodal Models From Language Model Reward (2024) • No Venue
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• Compassjudger-1: All-in-one Judge Model Helps Model Evaluation And Evolution (2024) • No Venue
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• Stealing Part Of A Production Language Model (2024) • No Venue
  Carlini et al.
• PERSONA: A Reproducible Testbed For Pluralistic Alignment (2024) • No Venue
  Castricato et al.
• Free^2guide: Gradient-free Path Integral Control For Enhancing Text-to-video Generation With Large Vision-language Models (2024) • No Venue
  Jaemin Kim, Bryan S Kim, Jong Chul Ye
• Sdpo: Don't Use Your Data All At Once (2024) • No Venue
  Kim et al.
• WARP: On The Benefits Of Weight Averaged Rewarded Policies (2024) • No Venue
  Ramé et al.
• Offline Regularised Reinforcement Learning For Large Language Models Alignment (2024) • No Venue
  Richemond et al.
• WARM: On The Benefits Of Weight Averaged Reward Models (2024) • No Venue
  Ramé et al.
• Adapting Safe-for-work Classifier For Malaysian Language Text: Enhancing Alignment In Llm-ops Framework (2024) • No Venue
  Razak et al.
• On The Societal Impact Of Open Foundation Models (2024) • No Venue
  Kapoor et al.
• Open-endedness Is Essential For Artificial Superhuman Intelligence (2024) • No Venue
  Hughes et al.
• Reward Steering With Evolutionary Heuristics For Decoding-time Alignment (2024) • No Venue
  Hung et al.
• Modulated Intervention Preference Optimization (MIPO): Keep The Easy, Refine The Difficult (2024) • No Venue
  Cheolhun Jang
• Controlling Language And Diffusion Models By Transporting Activations (2024) • No Venue
  Rodriguez et al.
• Llava-critic: Learning To Evaluate Multimodal Models (2024) • No Venue
  Xiong et al.
• Mitigating Object Hallucination Via Concentric Causal Attention (2024) • No Venue
  Xing et al.
• Wildteaming At Scale: From In-the-wild Jailbreaks To (adversarially) Safer Language Models (2024) • No Venue
  Jiang et al.
• Eliminating Oversaturation And Artifacts Of High Guidance Scales In Diffusion Models (2024) • No Venue
  Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber
• Symdpo: Boosting In-context Learning Of Large Multimodal Models With Symbol Demonstration Direct Preference Optimization (2024) • No Venue
  Jia et al.
• Comat: Aligning Text-to-image Diffusion Model With Image-to-text Concept Matching (2024) • No Venue
  Jiang et al.
• Mitigating Hallucinations In Large Vision-language Models With Instruction Contrastive Decoding (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 36 citations
  Wang et al.
• Is Preference Alignment Always The Best Option To Enhance Llm-based Translation? An Empirical Analysis (2024) • No Venue
  Gisserot-Boukhlef et al.
• Chatglm: A Family Of Large Language Models From GLM-130B To GLM-4 All Tools (2024) • No Venue
  Glm et al.
• The Good, The Bad, And The Greedy: Evaluation Of Llms Should Not Ignore Non-determinism (2024) • No Venue
  Song et al.
• Learn Your Reference Model For Real Good Alignment (2024) • No Venue
  Gorbatovski et al.
• Alignment Faking In Large Language Models (2024) • No Venue
  Greenblatt et al.
• Is Your LLM Secretly A World Model Of The Internet? Model-based Planning For Web Agents (2024) • No Venue
  Gu et al.
• Direct Language Model Alignment From Online AI Feedback (2024) • No Venue
  Guo et al.
• Vision Superalignment: Weak-to-strong Generalization For Vision Foundation Models (2024) • No Venue
  Guo et al.
• Chatglm-math: Improving Math Problem-solving In Large Language Models With A Self-critique Pipeline (2024) • No Venue
  Xu et al.
• Magpie: Alignment Data Synthesis From Scratch By Prompting Aligned Llms With Nothing (2024) • No Venue
  Xu et al.
• Course-correction: Safety Alignment Using Synthetic Preferences (2024) • No Venue
  Xu et al.
• Vbench++: Comprehensive And Versatile Benchmark Suite For Video Generative Models (2024) • No Venue
  Huang et al.
• Transforming And Combining Rewards For Aligning Large Language Models (2024) • No Venue
  Wang et al.
• Training Language Models On The Knowledge Graph: Insights On Hallucinations And Their Detectability (2024) • No Venue
  Hron et al.
• Show, Don't Tell: Aligning Language Models With Demonstrated Feedback (2024) • No Venue
  Shaikh et al.
• Sotopia-π: Interactive Learning Of Socially Intelligent Language Agents (2024) • No Venue
  Wang et al.
• Margin-aware Preference Optimization For Aligning Diffusion Models Without Reference (2024) • No Venue
  Hong et al.
• Nemo-aligner: Scalable Toolkit For Efficient Model Alignment (2024) • No Venue
  Shen et al.
• Vlsbench: Unveiling Visual Leakage In Multimodal Safety (2024) • No Venue
  Hu et al.
• Openrlhf: An Easy-to-use, Scalable And High-performance RLHF Framework (2024) • No Venue
  Hu et al.
• Walledeval: A Comprehensive Safety Evaluation Toolkit For Large Language Models (2024) • No Venue
  Gupta et al.
• PERL: Parameter Efficient Reinforcement Learning From Human Feedback (2024) • No Venue
  Sidahmed et al.
• Model Merging And Safety Alignment: One Bad Model Spoils The Bunch (2024) • No Venue
  Hammoud et al.
• REPOEXEC: Evaluate Code Generation With A Repository-level Executable Benchmark (2024) • No Venue
  Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui
• Phi-3 Safety Post-training: Aligning Language Models With A "break-fix" Cycle (2024) • No Venue
  Haider et al.
• TIP-I2V: A Million-scale Real Text And Image Prompt Dataset For Image-to-video Generation (2024) • No Venue
  Wenhao Wang, Yi Yang
• PIN: A Knowledge-intensive Dataset For Paired And Interleaved Multimodal Documents (2024) • No Venue
  Wang et al.
• Mdpo: Conditional Preference Optimization For Multimodal Large Language Models (2024) • No Venue
  Wang et al.
• Popalign: Diversifying Contrasting Patterns For A More Comprehensive Alignment (2024) • No Venue
  Wang et al.
• Safety Arithmetic: A Framework For Test-time Safety Alignment Of Language Models By Steering Parameters And Activations (2024) • No Venue
  Hazra et al.
• On The Robustness Of Language Guidance For Low-level Vision Tasks: Findings From Depth Estimation (2024) • No Venue
  Chatterjee et al.
• Agentpoison: Red-teaming LLM Agents Via Poisoning Memory Or Knowledge Bases (2024) • No Venue
  Chen et al.
• Bootstrapping Language Models With DPO Implicit Rewards (2024) • No Venue
  Chen et al.
• Designing A Dashboard For Transparency And Control Of Conversational AI (2024) • No Venue
  Chen et al.
• Cod, Towards An Interpretable Medical Agent Using Chain Of Diagnosis (2024) • No Venue
  Chen et al.
• Mj-bench: Is Your Multimodal Reward Model Really A Good Judge For Text-to-image Generation? (2024) • No Venue
  Chen et al.
• Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/multi-modal Jailbreak Attacks? (2024) • No Venue
  Chen et al.
• IOPO: Empowering Llms With Complex Instruction Following Via Input-output Preference Optimization (2024) • No Venue
  Zhang et al.
• Direct Preference Optimization Using Sparse Feature-level Constraints (2024) • No Venue
  Yin et al.
• Seallms 3: Open Foundation And Chat Multilingual Large Language Models For Southeast Asian Languages (2024) • No Venue
  Zhang et al.
• Self-exploring Language Models: Active Preference Elicitation For Online Alignment (2024) • No Venue
  Zhang et al.
• Dreamreward: Text-to-3d Generation With Human Preference (2024) • No Venue
  Ye et al.
• Llama Beyond English: An Empirical Study On Language Capability Transfer (2024) • No Venue
  Zhao et al.
• Minicpm-v: A GPT-4V Level MLLM On Your Phone (2024) • No Venue
  Yao et al.
• Weak-to-strong Jailbreaking On Large Language Models (2024) • No Venue
  Zhao et al.
• Astraios: Parameter-efficient Instruction Tuning Code Large Language Models (2024) • No Venue
  Zhuo et al.
• Autodetect: Towards A Unified Framework For Automated Weakness Detection In Large Language Models (2024) • No Venue
  Cheng et al.
• Tip-editor: An Accurate 3D Editor Following Both Text-prompts And Image-prompts (2024) • No Venue
  Zhuang et al.
• Med42-v2: A Suite Of Clinical Llms (2024) • No Venue
  Christophe et al.
• Aligngpt: Multi-modal Large Language Models With Adaptive Alignment Capability (2024) • No Venue
  Zhao et al.
• Chatbot Arena: An Open Platform For Evaluating Llms By Human Preference (2024) • No Venue
  Chiang et al.
• Model Surgery: Modulating Llm's Behavior Via Simple Parameter Editing (2024) • No Venue
  Wang et al.
• Patchscope: A Unifying Framework For Inspecting Hidden Representations Of Language Models (2024) • No Venue
  Ghandeharioun et al.
• Coercing Llms To Do And Reveal (almost) Anything (2024) • No Venue
  Geiping et al.
• Towards A Unified View Of Preference Learning For Large Language Models: A Survey (2024) • No Venue
  Gao et al.
• Introducing V0.5 Of The AI Safety Benchmark From Mlcommons (2024) • No Venue
  Vidgen et al.
• Judging The Judges: Evaluating Alignment And Vulnerabilities In Llms-as-judges (2024) • No Venue
  Thakur et al.
• Hermes 3 Technical Report (2024) • No Venue
  Ryan Teknium, Jeffrey Quesnelle, Chen Guang
• Erasing Conceptual Knowledge From Language Models (2024) • No Venue
  Gandikota et al.
• Aligning Diffusion Models With Noise-conditioned Perception (2024) • No Venue
  Gambashidze et al.
• Fast Best-of-n Decoding Via Speculative Rejection (2024) • No Venue
  Sun et al.
• Fuxitranyu: A Multilingual Large Language Model Trained With Balanced Data (2024) • No Venue
  Sun et al.
• Style Over Substance: Failure Modes Of LLM Judges In Alignment Benchmarking (2024) • No Venue
  Feuer et al.
• Sambalingo: Teaching Large Language Models New Languages (2024) • No Venue
  Csaki et al.
• Chameleon: Mixed-modal Early-fusion Foundation Models (2024) • No Venue
  Chameleon Team
• Self-recognition In Language Models (2024) • No Venue
  Davidson et al.
• Lift: Leveraging Human Feedback For Text-to-video Model Alignment (2024) • No Venue
  Wang et al.
• ILLUME: Illuminating Your Llms To See, Draw, And Self-enhance (2024) • No Venue
  Wang et al.
• Helpsteer2: Open-source Dataset For Training Top-performing Reward Models (2024) • No Venue
  Wang et al.
• COSMO: Contrastive Streamlined Multimodal Model With Interleaved Pre-training (2024) • No Venue
  Wang et al.
• Codeclm: Aligning Language Models With Tailored Synthetic Data (2024) • No Venue
  Wang et al.
• Judgebench: A Benchmark For Evaluating Llm-based Judges (2024) • No Venue
  Tan et al.
• Reformatted Alignment (2024) • No Venue
  Fan et al.
• The Llama 3 Herd Of Models (2024) • No Venue
  Dubey et al.
• E2 TTS: Embarrassingly Easy Fully Non-autoregressive Zero-shot TTS (2024) • No Venue
  Eskimez et al.
• Understanding The Performance Gap Between Online And Offline Alignment Algorithms (2024) • No Venue
  Tang et al.
• Chinese Tiny LLM: Pretraining A Chinese-centric Large Language Model (2024) • No Venue
  Du et al.
• Toward General Instruction-following Alignment For Retrieval-augmented Generation (2024) • No Venue
  Dong et al.
• Self-boosting Large Language Models With Synthetic Preference Data (2024) • No Venue
  Dong et al.
• LOGO -- Long Context Alignment Via Efficient Preference Optimization (2024) • No Venue
  Tang et al.
• A Flexible Large Language Models Guardrail Development Methodology Applied To Off-topic Prompt Detection (2024) • No Venue
  Gabriel Chua, Shing Yee Chan, Shaun Khoo
• The Instruction Hierarchy: Training Llms To Prioritize Privileged Instructions (2024) • No Venue
  Wallace et al.
• Meltemi: The First Open Large Language Model For Greek (2024) • No Venue
  Voukoutis et al.
• Saullm-54b & Saullm-141b: Scaling Up Domain Adaptation For The Legal Domain (2024) • No Venue
  Colombo et al.
• Chain-of-verification Reduces Hallucination In Large Language Models (2023) • No Venue
  Dhuliawala et al.
• Caption Anything: Interactive Image Description With Diverse Multimodal Controls (2023) • Arxiv • 19 citations
  Wang et al.
• Safe RLHF: Safe Reinforcement Learning From Human Feedback (2023) • No Venue
  Dai et al.
• Aligning Large Multimodal Models With Factually Augmented RLHF (2023) • No Venue
  Sun et al.
• Large Language Model For Science: A Study On P Vs. NP (2023) • No Venue
  Dong et al.
• Diffusion Model Alignment Using Direct Preference Optimization (2023) • No Venue
  Wallace et al.
• Decodingtrust: A Comprehensive Assessment Of Trustworthiness In GPT Models (2023) • No Venue
  Wang et al.
• Alignment For Honesty (2023) • No Venue
  Yang et al.
• Lmsys-chat-1m: A Large-scale Real-world LLM Conversation Dataset (2023) • No Venue
  Zheng et al.
• Diverse And Aligned Audio-to-video Generation Via Text-to-video Model Adaptation (2023) • No Venue
  Yariv et al.
• FLASK: Fine-grained Language Model Evaluation Based On Alignment Skill Sets (2023) • No Venue
  Ye et al.
• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
  Zheng et al.
• Efficient RLHF: Reducing The Memory Usage Of PPO (2023) • No Venue
  Santacroce et al.
• Secrets Of RLHF In Large Language Models Part I: PPO (2023) • No Venue
  Zheng et al.
• RLCD: Reinforcement Learning From Contrast Distillation For Language Model Alignment (2023) • No Venue
  Yang et al.
• Robots That Ask For Help: Uncertainty Alignment For Large Language Model Planners (2023) • No Venue
  Ren et al.
• LARP: Language-agent Role Play For Open-world Games (2023) • No Venue
  Yan et al.
• LIMA: Less Is More For Alignment (2023) • No Venue
  Zhou et al.
• Rich Human Feedback For Text-to-image Generation (2023) • No Venue
  Liang et al.
• Motionlm: Multi-agent Motion Forecasting As Language Modeling (2023) • No Venue
  Seff et al.
• Jais And Jais-chat: Arabic-centric Foundation And Instruction-tuned Open Generative Large Language Models (2023) • No Venue
  Sengupta et al.
• Reasons To Reject? Aligning Language Models With Judgments (2023) • No Venue
  Xu et al.
• Detecting Pretraining Data From Large Language Models (2023) • No Venue
  Shi et al.
• A Picture Is Worth A Thousand Words: Principled Recaptioning Improves Image Generation (2023) • No Venue
  Segalis et al.
• Can Llms Follow Simple Rules? (2023) • No Venue
  Mu et al.
• SILO Language Models: Isolating Legal Risk In A Nonparametric Datastore (2023) • No Venue
  Min et al.
• Seallms -- Large Language Models For Southeast Asia (2023) • No Venue
  Nguyen et al.
• Technical Report: Large Language Models Can Strategically Deceive Their Users When Put Under Pressure (2023) • No Venue
  Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
• RLHF-V: Towards Trustworthy Mllms Via Behavior Alignment From Fine-grained Correctional Human Feedback (2023) • No Venue
  Yu et al.
• H2ogpt: Democratizing Large Language Models (2023) • No Venue
  Candel et al.
• An Emulator For Fine-tuning Large Language Models Using Small Language Models (2023) • No Venue
  Mitchell et al.
• Levels Of AGI For Operationalizing Progress On The Path To AGI (2023) • No Venue
  Morris et al.
• Testing Language Model Agents Safely In The Wild (2023) • No Venue
  Naihin et al.
• Weak-to-strong Generalization: Eliciting Strong Capabilities With Weak Supervision (2023) • No Venue
  Burns et al.
• Carve3d: Improving Multi-view Reconstruction Consistency For Diffusion Models With RL Finetuning (2023) • No Venue
  Xie et al.
• Controlled Decoding From Language Models (2023) • No Venue
  Mudgal et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• Holistic Evaluation Of Text-to-image Models (2023) • No Venue
  Lee et al.
• Calibrating Llm-based Evaluator (2023) • No Venue
  Liu et al.
• Statistical Rejection Sampling Improves Preference Optimization (2023) • No Venue
  Liu et al.
• Trustworthy Llms: A Survey And Guideline For Evaluating Large Language Models' Alignment (2023) • No Venue
  Liu et al.
• Trusted Source Alignment In Large Language Models (2023) • No Venue
  Bashlovkina et al.
• Llms As Workers In Human-computational Algorithms? Replicating Crowdsourcing Pipelines With Llms (2023) • No Venue
  Wu et al.
• The Generative AI Paradox: "what It Can Create, It May Not Understand" (2023) • No Venue
  West et al.
• Lora Fine-tuning Efficiently Undoes Safety Training In Llama 2-chat 70B (2023) • No Venue
  Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
• Grounding Visual Illusions In Language: Do Vision-language Models Perceive Illusions Like Humans? (2023) • No Venue
  Zhang et al.
• Qwen Technical Report (2023) • No Venue
  Bai et al.
• Instruction-tuning Aligns Llms To The Human Brain (2023) • No Venue
  Aw et al.
• FLIRT: Feedback Loop In-context Red Teaming (2023) • No Venue
  Mehrabi et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• Designbench: Exploring And Benchmarking DALL-E 3 For Imagining Visual Design (2023) • No Venue
  Lin et al.
• Jailbroken: How Does LLM Safety Training Fail? (2023) • No Venue
  Alexander Wei, Nika Haghtalab, Jacob Steinhardt
• Improving Alignment Of Dialogue Agents Via Targeted Human Judgements (2022) • Arxiv • 130 citations
  Glaese et al.
• A General Language Assistant As A Laboratory For Alignment (2021) • Arxiv • 27 citations
  Askell et al.

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Survey Paper 125 papers #

• Can Llms Clean Up Your Mess? A Survey Of Application-ready Data Preparation With Llms (2026) • No Venue
  Zhou et al.
• Agent-as-a-judge (2026) • No Venue
  You et al.
• Towards Automated Kernel Generation In The Era Of Llms (2026) • No Venue
  Yu et al.
• Locate, Steer, And Improve: A Practical Survey Of Actionable Mechanistic Interpretability In Large Language Models (2026) • No Venue
  Zhang et al.
• Advances And Frontiers Of Llm-based Issue Resolution In Software Engineering: A Comprehensive Survey (2026) • No Venue
  Li et al.
• Agentic Reasoning For Large Language Models (2026) • No Venue
  Wei et al.
• Taming The Titans: A Survey Of Efficient LLM Inference Serving (2025) • No Venue
  Zhen et al.
• 100 Days After Deepseek-r1: A Survey On Replication Studies And More Directions For Reasoning Language Models (2025) • No Venue
  Zhang et al.
• API Agents Vs. GUI Agents: Divergence And Convergence (2025) • No Venue
  Zhang et al.
• What, How, Where, And How Well? A Survey On Test-time Scaling In Large Language Models (2025) • No Venue
  Zhang et al.
• Unified Multimodal Understanding And Generation Models: Advances, Challenges, And Opportunities (2025) • No Venue
  Zhang et al.
• Survey On Evaluation Of Llm-based Agents (2025) • No Venue
  Yehudai et al.
• Aligning Multimodal LLM With Human Preference: A Survey (2025) • No Venue
  Yu et al.
• Discrete Diffusion In Large Language And Multimodal Models: A Survey (2025) • No Venue
  Runpeng Yu, Qi Li, Xinchao Wang
• Don't Overthink It: A Survey Of Efficient R1-style Large Reasoning Models (2025) • No Venue
  Yue et al.
• Llms4all: A Review On Large Language Models For Research And Applications In Academic Disciplines (2025) • No Venue
  Yanfang et al.
• Ask In Any Modality: A Comprehensive Survey On Multimodal Retrieval-augmented Generation (2025) • No Venue
  Abootorabi et al.
• Reasoning Language Models: A Blueprint (2025) • No Venue
  Besta et al.
• Why Reasoning Matters? A Survey Of Advancements In Multimodal Reasoning (v1) (2025) • No Venue
  Bi et al.
• Reconstructing 4D Spatial Intelligence: A Survey (2025) • No Venue
  Cao et al.
• Multimodal Spatial Reasoning In The Large Model Era: A Survey And Benchmarks (2025) • No Venue
  Zheng et al.
• Surveyforge: On The Outline Heuristics, Memory-driven Generation, And Multi-dimensional Evaluation For Automated Survey Writing (2025) • No Venue
  Yan et al.
• An Anatomy Of Vision-language-action Models: From Modules To Milestones And Challenges (2025) • No Venue
  Xu et al.
• Towards Large Reasoning Models: A Survey Of Reinforced Reasoning With Large Language Models (2025) • No Venue
  Xu et al.
• Harnessing The Reasoning Economy: A Survey Of Efficient Reasoning For Large Language Models (2025) • No Venue
  Wang et al.
• Multimodal Chain-of-thought Reasoning: A Comprehensive Survey (2025) • No Venue
  Wang et al.
• Reinforcement Learning In Vision: A Survey (2025) • No Venue
  Wu et al.
• Sailing AI By The Stars: A Survey Of Learning From Rewards In Post-training And Test-time Scaling Of Large Language Models (2025) • No Venue
  Xiaobao Wu
• A Survey On Vision-language-action Models: An Action Tokenization Perspective (2025) • No Venue
  Zhong et al.
• From AI For Science To Agentic Science: A Survey On Autonomous Scientific Discovery (2025) • No Venue
  Wei et al.
• 3D Scene Generation: A Survey (2025) • No Venue
  Wen et al.
• A Survey On Inference Engines For Large Language Models: Perspectives On Optimization And Efficiency (2025) • No Venue
  Park et al.
• A Survey Of Efficient Reasoning For Large Reasoning Models: Language, Multimodality, And Beyond (2025) • No Venue
  Qu et al.
• Vibe Coding Vs. Agentic Coding: Fundamentals And Practical Implications Of Agentic AI (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Vision-language-action Models: Concepts, Progress, Applications And Challenges (2025) • No Venue
  Sapkota et al.
• Agent Laboratory: Using LLM Agents As Research Assistants (2025) • No Venue
  Schmidgall et al.
• When Tokens Talk Too Much: A Survey Of Multimodal Long-context Token Compression Across Images, Videos, And Audios (2025) • No Venue
  Shao et al.
• Open Problems In Mechanistic Interpretability (2025) • No Venue
  Sharkey et al.
• Towards Trustworthy GUI Agents: A Survey (2025) • No Venue
  Shi et al.
• Deep Research: A Systematic Survey (2025) • No Venue
  Shi et al.
• Thinking With Images For Multimodal Reasoning: Foundations, Methods, And Future Frontiers (2025) • No Venue
  Su et al.
• Stop Overthinking: A Survey On Efficient Reasoning For Large Language Models (2025) • No Venue
  Sui et al.
• Speed Always Wins: A Survey On Efficient Architectures For Large Language Models (2025) • No Venue
  Sun et al.
• Generative AI For Cel-animation: A Survey (2025) • No Venue
  Tang et al.
• Self-improvement In Multimodal Large Language Models: A Survey (2025) • No Venue
  Deng et al.
• Adapting Vision-language Models Without Labels: A Comprehensive Survey (2025) • No Venue
  Dong et al.
• Efficient Reasoning Models: A Survey (2025) • No Venue
  Feng et al.
• A Survey Of Self-evolving Agents: On Path To Artificial Super Intelligence (2025) • No Venue
  Gao et al.
• A Survey Of Vibe Coding With Large Language Models (2025) • No Venue
  Ge et al.
• Exploring The Vulnerabilities Of Federated Learning: A Deep Dive Into Gradient Inversion Attacks (2025) • No Venue
  Guo et al.
• Low-precision Training Of Large Language Models: Methods, Challenges, And Opportunities (2025) • No Venue
  Hao et al.
• The Role Of Computing Resources In Publishing Foundation Model Research (2025) • No Venue
  Hao et al.
• A Survey Of Scientific Large Language Models: From Data Foundations To Agent Frontiers (2025) • No Venue
  Hu et al.
• Memory In The Age Of AI Agents (2025) • No Venue
  Hu et al.
• A Survey On Vision-language-action Models For Autonomous Driving (2025) • No Venue
  Jiang et al.
• A Survey On Latent Reasoning (2025) • No Venue
  Zhu et al.
• Advances In Speech Separation: Techniques, Challenges, And Future Trends (2025) • No Venue
  Li et al.
• Perception, Reason, Think, And Plan: A Survey On Large Multimodal Reasoning Models (2025) • No Venue
  Li et al.
• Reportbench: Evaluating Deep Research Agents Via Academic Survey Tasks (2025) • No Venue
  Li et al.
• Surveyx: Academic Survey Automation Via Large Language Models (2025) • No Venue
  Liang et al.
• Advances And Challenges In Foundation Agents: From Brain-inspired Intelligence To Evolutionary, Collaborative, And Safe Systems (2025) • No Venue
  Liu et al.
• A Survey On Large Language Model Benchmarks (2025) • No Venue
  Ni et al.
• Discrete Audio Tokens: More Than A Survey! (2025) • No Venue
  Mousavi et al.
• What Makes A Good Natural Language Prompt? (2025) • No Venue
  Long et al.
• LLM4SR: A Survey On Large Language Models For Scientific Research (2025) • No Venue
  Luo et al.
• Large Language Model Agent: A Survey On Methodology, Applications And Challenges (2025) • No Venue
  Luo et al.
• Technologies On Effectiveness And Efficiency: A Survey Of State Spaces Models (2025) • No Venue
  Lv et al.
• A Survey Of Context Engineering For Large Language Models (2025) • No Venue
  Mei et al.
• Logical Reasoning In Large Language Models: A Survey (2025) • No Venue
  Liu et al.
• Thus Spake Long-context Large Language Model (2025) • No Venue
  Liu et al.
• A Survey Of Small Language Models (2024) • No Venue
  Nguyen et al.
• Survey Of User Interface Design And Interaction Techniques In Generative AI Applications (2024) • No Venue
  Luera et al.
• Unleashing The Power Of Data Tsunami: A Comprehensive Survey On Data Assessment And Selection For Instruction Tuning Of Language Models (2024) • No Venue
  Qin et al.
• GUI Agents: A Survey (2024) • No Venue
  Nguyen et al.
• Foundation Models For Music: A Survey (2024) • No Venue
  Ma et al.
• Llm-based Optimization Of Compound AI Systems: A Survey (2024) • No Venue
  Lin et al.
• Best Practices And Lessons Learned On Synthetic Data For Language Models (2024) • No Venue
  Liu et al.
• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• The Synergy Between Data And Multi-modal Large Language Models: A Survey From Co-development Perspective (2024) • No Venue
  Qin et al.
• A Survey On The Honesty Of Large Language Models (2024) • No Venue
  Li et al.
• Internal Consistency And Self-feedback In Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• Controllable Text Generation For Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• Survey Of Cultural Awareness In Language Models: Text And Beyond (2024) • No Venue
  Pawar et al.
• Revealing Fine-grained Values And Opinions In Large Language Models (2024) • No Venue
  Wright et al.
• Personalized Multimodal Large Language Models: A Survey (2024) • No Venue
  Wu et al.
• Personalization Of Large Language Models: A Survey (2024) • No Venue
  Zhang et al.
• Mm-llms: Recent Advances In Multimodal Large Language Models (2024) • No Venue
  Zhang et al.
• Document Parsing Unveiled: Techniques, Challenges, And Prospects For Structured Information Extraction (2024) • No Venue
  Zhang et al.
• Autoregressive Models In Vision: A Survey (2024) • No Venue
  Xiong et al.
• Is It Really Long Context If All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP (2024) • No Venue
  Goldman et al.
• Are AI Detectors Good Enough? A Survey On Quality Of Datasets With Machine-generated Texts (2024) • No Venue
  Gritsai et al.
• Search, Verify And Feedback: Towards Next Generation Post-training Paradigm Of Foundation Models Via Verifier Engineering (2024) • No Venue
  Guan et al.
• Rethinking Interpretability In The Era Of Large Language Models (2024) • No Venue
  Singh et al.
• The Prompt Report: A Systematic Survey Of Prompting Techniques (2024) • No Venue
  Schulhoff et al.
• Authorship Attribution In The Era Of Llms: Problems, Methodologies, And Challenges (2024) • No Venue
  Baixiang Huang, Canyu Chen, Kai Shu
• Surveying The Effects Of Quality, Diversity, And Complexity In Synthetic Data From Large Language Models (2024) • No Venue
  Havrilla et al.
• Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey (2024) • No Venue
  Chen et al.
• Large Language Model-brained GUI Agents: A Survey (2024) • No Venue
  Zhang et al.
• Attention Heads Of Large Language Models: A Survey (2024) • No Venue
  Zheng et al.
• Minstrel: Structural Prompt Generation With Multi-agents Coordination For Non-ai Experts (2024) • No Venue
  Wang et al.
• To Cot Or Not To Cot? Chain-of-thought Helps Mainly On Math And Symbolic Reasoning (2024) • No Venue
  Sprague et al.
• Towards A Unified View Of Preference Learning For Large Language Models: A Survey (2024) • No Venue
  Gao et al.
• One Missing Piece In Vision And Language: A Survey On Comics Understanding (2024) • No Venue
  Vivoli et al.
• Mme-survey: A Comprehensive Survey On Evaluation Of Multimodal Llms (2024) • No Venue
  Fu et al.
• Knowledge Mechanisms In Large Language Models: A Survey And Perspective (2024) • No Venue
  Wang et al.
• Retrieval-augmented Generation For Large Language Models: A Survey (2023) • Arxiv • 13 citations
  Gao et al.
• Foundation Models In Robotics: Applications, Challenges, And The Future (2023) • No Venue
  Firoozi et al.
• The Science Of Detecting Llm-generated Texts (2023) • Communications of the ACM • 90 citations
  Ruixiang Tang, Yu-Neng Chuang, Xia Hu
• Challenges And Applications Of Large Language Models (2023) • No Venue
  Kaddour et al.
• Language Models In Molecular Discovery (2023) • No Venue
  Janakarajan et al.
• A Survey On Multimodal Large Language Models (2023) • National Science Review • 340 citations
  Yin et al.
• When Large Language Models Meet Personalization: Perspectives Of Challenges And Opportunities (2023) • World Wide Web • 226 citations
  Chen et al.
• A Survey On Evaluation Of Large Language Models (2023) • No Venue
  Chang et al.
• Open Problems And Fundamental Limitations Of Reinforcement Learning From Human Feedback (2023) • No Venue
  Casper et al.
• Pre-train, Prompt And Recommendation: A Comprehensive Survey Of Language Modelling Paradigm Adaptations In Recommender Systems (2023) • Transactions of the Association for Computational Linguistics • 69 citations
  Peng Liu, Lemei Zhang, Jon Atle Gulla
• A Survey On Large Language Models For Recommendation (2023) • World Wide Web • 227 citations
  Wu et al.
• Unifying The Perspectives Of NLP And Software Engineering: A Survey On Language Models For Code (2023) • No Venue
  Zhang et al.
• Trustworthy Llms: A Survey And Guideline For Evaluating Large Language Models' Alignment (2023) • No Venue
  Liu et al.
• Multimodal Foundation Models: From Specialists To General-purpose Assistants (2023) • No Venue
  Li et al.
• The Rise And Potential Of Large Language Model Based Agents: A Survey (2023) • Science China Information Sciences • 244 citations
  Xi et al.
• How Can Recommender Systems Benefit From Large Language Models: A Survey (2023) • ACM Transactions on Information Systems • 98 citations
  Lin et al.
• Reasoning With Language Model Prompting: A Survey (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 79 citations
  Qiao et al.
• Towards Reasoning In Large Language Models: A Survey (2022) • Findings of the Association for Computational Linguistics: ACL 2023 • 223 citations
  Jie Huang, Kevin Chen-Chuan Chang
• A Survey On In-context Learning (2022) • Arxiv • 244 citations
  Dong et al.
• Pre-train, Prompt, And Predict: A Systematic Survey Of Prompting Methods In Natural Language Processing (2021) • ACM Computing Surveys • 2508 citations
  Liu et al.

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Training Techniques 485 papers #

• Beyond Hard Masks: Progressive Token Evolution For Diffusion Language Models (2026) • No Venue
  Zhong et al.
• Plenoptic Video Generation (2026) • No Venue
  Fu et al.
• Unicorn: Towards Self-improving Unified Multimodal Models Through Self-generated Supervision (2026) • No Venue
  Han et al.
• Ministral 3 (2026) • No Venue
  Liu et al.
• The Assistant Axis: Situating And Stabilizing The Default Persona Of Language Models (2026) • No Venue
  Lu et al.
• The Reasoning-creativity Trade-off: Toward Creativity-driven Problem Solving (2026) • No Venue
  Max Ruiz Luyten, Mihaela van Der Schaar
• Boosting Latent Diffusion Models Via Disentangled Representation Alignment (2026) • No Venue
  Page et al.
• Typhoon ASR Real-time: Fastconformer-transducer For Thai Automatic Speech Recognition (2026) • No Venue
  Sirichotedumrong et al.
• Enhancing Linguistic Competence Of Language Models Through Pre-training With Language Learning Tasks (2026) • No Venue
  Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras
• Let Llms Break Free From Overthinking Via Self-braking Tuning (2025) • No Venue
  Zhao et al.
• Hifi-sr: A Unified Generative Transformer-convolutional Adversarial Network For High-fidelity Speech Super-resolution (2025) • No Venue
  Zhao et al.
• Insights Into Deepseek-v3: Scaling Challenges And Reflections On Hardware For AI Architectures (2025) • No Venue
  Zhao et al.
• Ultraimage: Rethinking Resolution Extrapolation In Image Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Ultravico: Breaking Extrapolation Limits In Video Diffusion Transformers (2025) • No Venue
  Zhao et al.
• BANG: Dividing 3D Assets Via Generative Exploded Dynamics (2025) • No Venue
  Zhang et al.
• Both Semantics And Reconstruction Matter: Making Representation Encoders Ready For Text-to-image Generation And Editing (2025) • No Venue
  Zhang et al.
• Echox: Towards Mitigating Acoustic-semantic Gap Via Echo Training For Speech-to-speech Llms (2025) • No Venue
  Zhang et al.
• Omnimamba: Efficient And Unified Multimodal Understanding And Generation Via State Space Models (2025) • No Venue
  Zou et al.
• Waver: Wave Your Way To Lifelike Video Generation (2025) • No Venue
  Zhang et al.
• Videorepa: Learning Physics For Video Generation Through Relational Alignment With Foundation Models (2025) • No Venue
  Zhang et al.
• Interactive Training: Feedback-driven Neural Network Optimization (2025) • No Venue
  Wentao Zhang, Yang Young Lu, Yuntian Deng
• GKG-LLM: A Unified Framework For Generalized Knowledge Graph Construction (2025) • No Venue
  Zhang et al.
• MUG-V 10B: High-efficiency Training Pipeline For Large Video Generation Models (2025) • No Venue
  Zhang et al.
• Analyzing The Effects Of Supervised Fine-tuning On Model Knowledge From Token And Parameter Levels (2025) • No Venue
  Ye et al.
• Ultraflux: Data-model Co-design For High-quality Native 4K Text-to-image Generation Across Diverse Aspect Ratios (2025) • No Venue
  Tian Ye, Song Fei, Lei Zhu
• Shapellm-omni: A Native Multimodal LLM For 3D Generation And Understanding (2025) • No Venue
  Ye et al.
• Pangu Ultra: Pushing The Limits Of Dense Large Language Models On Ascend Npus (2025) • No Venue
  Yin et al.
• Magicinfinite: Generating Infinite Talking Videos With Your Words And Voice (2025) • No Venue
  Yi et al.
• Guided Self-evolving Llms With Minimal Human Supervision (2025) • No Venue
  Yu et al.
• Omnialpha: A Sequence-to-sequence Framework For Unified Multi-task RGBA Generation (2025) • No Venue
  Yu et al.
• Pixeldit: Pixel Diffusion Transformers For Image Generation (2025) • No Venue
  Yu et al.
• Trajselector: Harnessing Latent Representations For Efficient And Effective Best-of-n In Large Reasoning Model (2025) • No Venue
  Yu et al.
• Agent-r: Training Language Model Agents To Reflect Via Iterative Self-training (2025) • No Venue
  Yuan et al.
• Lumos-1: On Autoregressive Video Generation From A Unified Model Perspective (2025) • No Venue
  Yuan et al.
• Designlab: Designing Slides Through Iterative Detection And Correction (2025) • No Venue
  Yun et al.
• Understand Before You Generate: Self-guided Training For Autoregressive Image Generation (2025) • No Venue
  Yue et al.
• Toksuite: Measuring The Impact Of Tokenizer Choice On Language Model Behavior (2025) • No Venue
  Altıntaş et al.
• LFM2 Technical Report (2025) • No Venue
  Amini et al.
• Tabstar: A Foundation Tabular Model With Semantically Target-aware Representations (2025) • No Venue
  Alan Arazi, Eilam Shapira, Roi Reichart
• V-JEPA 2: Self-supervised Video Models Enable Understanding, Prediction And Planning (2025) • No Venue
  Assran et al.
• Recammaster: Camera-controlled Generative Rendering From A Single Video (2025) • No Venue
  Bai et al.
• Phygdpo: Physics-aware Groupwise Direct Preference Optimization For Physically Consistent Text-to-video Generation (2025) • No Venue
  Cai et al.
• Hunyuanimage 3.0 Technical Report (2025) • No Venue
  Cao et al.
• Quartet: Native FP4 Training Can Be Optimal For Large Language Models (2025) • No Venue
  Castro et al.
• Communication-efficient Language Model Training Scales Reliably And Robustly: Scaling Laws For Diloco (2025) • No Venue
  Charles et al.
• Agentfrontier: Expanding The Capability Frontier Of LLM Agents With Zpd-guided Data Synthesis (2025) • No Venue
  Chen et al.
• Acereason-nemotron: Advancing Math And Code Reasoning Through Reinforcement Learning (2025) • No Venue
  Chen et al.
• Astra: Toward General-purpose Mobile Robots Via Hierarchical Multimodal Learning (2025) • No Venue
  Chen et al.
• Exploring The Effect Of Reinforcement Learning On Video Understanding: Insights From Seed-bench-r1 (2025) • No Venue
  Chen et al.
• Humo: Human-centric Video Generation Via Collaborative Multi-modal Conditioning (2025) • No Venue
  Chen et al.
• Goku: Flow Based Video Generative Foundation Models (2025) • No Venue
  Chen et al.
• Livecc: Learning Video LLM With Streaming Speech Transcription At Scale (2025) • No Venue
  Chen et al.
• Iterresearch: Rethinking Long-horizon Agents Via Markovian State Reconstruction (2025) • No Venue
  Chen et al.
• Ouroboros-diffusion: Exploring Consistent Content Generation In Tuning-free Long Video Diffusion (2025) • No Venue
  Chen et al.
• Sana-video: Efficient Video Generation With Block Linear Diffusion Transformer (2025) • No Venue
  Chen et al.
• Sharegpt-4o-image: Aligning Multimodal Models With Gpt-4o-level Image Generation (2025) • No Venue
  Chen et al.
• Signroundv2: Closing The Performance Gap In Extremely Low-bit Post-training Quantization For Llms (2025) • No Venue
  Cheng et al.
• Scaling Diffusion Transformers Efficiently Via Μp (2025) • No Venue
  Zheng et al.
• Multimodal Spatial Reasoning In The Large Model Era: A Survey And Benchmarks (2025) • No Venue
  Zheng et al.
• BARREL: Boundary-aware Reasoning For Factual And Reliable Lrms (2025) • No Venue
  Yang et al.
• Predicting The Order Of Upcoming Tokens Improves Language Modeling (2025) • No Venue
  Zayd M. K. Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
• Pretrainzero: Reinforcement Active Pretraining (2025) • No Venue
  Xing et al.
• Logic-rl: Unleashing LLM Reasoning With Rule-based Reinforcement Learning (2025) • No Venue
  Xie et al.
• Motionstreamer: Streaming Motion Generation Via Diffusion-based Autoregressive Model In Causal Latent Space (2025) • No Venue
  Xiao et al.
• Ui-genie: A Self-improving Approach For Iteratively Boosting Mllm-based Mobile GUI Agents (2025) • No Venue
  Xiao et al.
• Llms Can Get "brain Rot"! (2025) • No Venue
  Xing et al.
• Reconstruction Alignment Improves Unified Multimodal Models (2025) • No Venue
  Xie et al.
• Region-based Cluster Discrimination For Visual Representation Learning (2025) • No Venue
  Xie et al.
• Show-o2: Improved Native Unified Multimodal Models (2025) • No Venue
  Jinheng Xie, Zhenheng Yang, Mike Zheng Shou
• Gigatok: Scaling Visual Tokenizers To 3 Billion Parameters For Autoregressive Image Generation (2025) • No Venue
  Xiong et al.
• Dancegrpo: Unleashing GRPO On Visual Generation (2025) • No Venue
  Xue et al.
• Audio-flan: A Preliminary Release (2025) • No Venue
  Xue et al.
• Withanyone: Towards Controllable And ID Consistent Image Generation (2025) • No Venue
  Xu et al.
• Genius: A Generalizable And Purely Unsupervised Self-training Framework For Advanced Reasoning (2025) • No Venue
  Xu et al.
• Show-o Turbo: Towards Accelerated Unified Multimodal Understanding And Generation (2025) • No Venue
  Xu et al.
• Next-embedding Prediction Makes Strong Vision Learners (2025) • No Venue
  Xu et al.
• DDT: Decoupled Diffusion Transformer (2025) • No Venue
  Wang et al.
• DUMP: Automated Distribution-level Curriculum Learning For Rl-based LLM Post-training (2025) • No Venue
  Wang et al.
• Game-tars: Pretrained Foundation Models For Scalable Generalist Multimodal Game Agents (2025) • No Venue
  Wang et al.
• Fostering Video Reasoning Via Next-event Prediction (2025) • No Venue
  Wang et al.
• Mgm-omni: Scaling Omni Llms To Personalized Long-horizon Speech (2025) • No Venue
  Wang et al.
• Optimizing Large Language Model Training Using FP4 Quantization (2025) • No Venue
  Wang et al.
• RECALL: Representation-aligned Catastrophic-forgetting Alleviation Via Hierarchical Model Merging (2025) • No Venue
  Wang et al.
• Revolutionizing Reinforcement Learning Framework For Diffusion Large Language Models (2025) • No Venue
  Wang et al.
• Resa: Transparent Reasoning Models Via Saes (2025) • No Venue
  Wang et al.
• Test-time Scaling With Reflective Generative Model (2025) • No Venue
  Wang et al.
• Socratic-zero : Bootstrapping Reasoning Via Data-free Agent Co-evolution (2025) • No Venue
  Wang et al.
• Dreamomni2: Multimodal Instruction-based Editing And Generation (2025) • No Venue
  Xia et al.
• Quantile Advantage Estimation For Entropy-safe Reasoning (2025) • No Venue
  Wu et al.
• Qwen-image Technical Report (2025) • No Venue
  Wu et al.
• Resum: Unlocking Long-horizon Search Intelligence Via Context Summarization (2025) • No Venue
  Wu et al.
• Omnigen2: Exploration To Advanced Multimodal Generation (2025) • No Venue
  Wu et al.
• Hunyuanvideo 1.5 Technical Report (2025) • No Venue
  Wu et al.
• Seq Vs Seq: An Open Suite Of Paired Encoders And Decoders (2025) • No Venue
  Weller et al.
• Visual Instruction Bottleneck Tuning (2025) • No Venue
  Oh et al.
• Pre-dpo: Improving Data Utilization In Direct Preference Optimization Using A Guiding Reference Model (2025) • No Venue
  Pan et al.
• Unified Scaling Laws For Compressed Representations (2025) • No Venue
  Panferov et al.
• Tokenhsi: Unified Synthesis Of Physical Human-scene Interactions Through Task Tokenization (2025) • No Venue
  Pan et al.
• Teaching With Lies: Curriculum DPO On Synthetic Negatives For Hallucination Detection (2025) • No Venue
  Pandit et al.
• Thinking Sparks!: Emergent Attention Heads In Reasoning Models During Post Training (2025) • No Venue
  Yein Park, Minbyul Jeong, Jaewoo Kang
• Nested Attention: Semantic-aware Attention Values For Concept Personalization (2025) • No Venue
  Patashnik et al.
• Adapting Language-specific Llms To A Reasoning Model In One Day Via Model Merging -- An Open Recipe (2025) • No Venue
  Pipatanakul et al.
• So Let's Replace This Phrase With Insult... Lessons Learned From Generation Of Toxic Texts With Llms (2025) • No Venue
  Sergey Pletenev, Daniil Moskovskiy, Alexander Panchenko
• THOUGHTTERMINATOR: Benchmarking, Calibrating, And Mitigating Overthinking In Reasoning Models (2025) • No Venue
  Pu et al.
• Dynamic Large Concept Models: Latent Reasoning In An Adaptive Semantic Space (2025) • No Venue
  Qu et al.
• 3DIS-FLUX: Simple And Efficient Multi-instance Generation With Dit Rendering (2025) • No Venue
  Zhou et al.
• An Empirical Study Of Autoregressive Pre-training From Videos (2025) • No Venue
  Rajasegaran et al.
• Aryabhata: An Exam-focused Language Model For JEE Math (2025) • No Venue
  Ritvik Rastogi, Sachin Dharashivkar, Sandeep Varma
• Beyond Memorization: Extending Reasoning Depth With Recurrence, Memory And Test-time Compute Scaling (2025) • No Venue
  Rodkin et al.
• Align Your Flow: Scaling Continuous-time Flow Map Distillation (2025) • No Venue
  Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
• The Diffusion Duality (2025) • No Venue
  Sahoo et al.
• Aligning Text, Images, And 3D Structure Token-by-token (2025) • No Venue
  Aadarsh Sahoo, Vansh Tibrewal, Georgia Gkioxari
• Longrope2: Near-lossless LLM Context Window Scaling (2025) • No Venue
  Shang et al.
• Seedream 4.0: Toward Next-generation Multimodal Image Generation (2025) • No Venue
  Seedream et al.
• Skywork-r1v3 Technical Report (2025) • No Venue
  Shen et al.
• Dinov3 (2025) • No Venue
  Siméoni et al.
• Model Merging With Functional Dual Anchors (2025) • No Venue
  Kexuan Shi, Yandong Wen, Weiyang Liu
• Efficient Reinforcement Finetuning Via Adaptive Curriculum Learning (2025) • No Venue
  Shi et al.
• Φeat: Physically-grounded Feature Representation (2025) • No Venue
  Vecchio et al.
• From Bytes To Ideas: Language Modeling With Autoregressive U-nets (2025) • No Venue
  Videau et al.
• Pipeoffload: Improving Scalability Of Pipeline Parallelism With Memory Optimization (2025) • No Venue
  Wan et al.
• Enhancing Step-by-step And Verifiable Medical Reasoning In Mllms (2025) • No Venue
  Sun et al.
• The Curse Of Depth In Large Language Models (2025) • No Venue
  Sun et al.
• Unified Continuous Generative Models (2025) • No Venue
  Peng Sun, Yi Jiang, Tao Lin
• Stableavatar: Infinite-length Audio-driven Avatar Video Generation (2025) • No Venue
  Tu et al.
• Beyond Turn Limits: Training Deep Search Agents With Dynamic Context Window (2025) • No Venue
  Tang et al.
• Gemma 3 Technical Report (2025) • No Venue
  Team et al.
• SIMA 2: A Generalist Embodied Agent For Virtual Worlds (2025) • No Venue
  Team et al.
• Llamav-o1: Rethinking Step-by-step Visual Reasoning In Llms (2025) • No Venue
  Thawakar et al.
• From Next-token To Next-block: A Principled Adaptation Path For Diffusion Llms (2025) • No Venue
  Tian et al.
• Audiox: Diffusion Transformer For Anything-to-audio Generation (2025) • No Venue
  Tian et al.
• Interactiveomni: A Unified Omni-modal Model For Audio-visual Multi-turn Dialogue (2025) • No Venue
  Tong et al.
• Youtu-agent: Scaling Agent Productivity With Automated Generation And Hybrid Policy Optimization (2025) • No Venue
  Shi et al.
• Omniconsistency: Learning Style-agnostic Consistency From Paired Stylization Data (2025) • No Venue
  Yiren Song, Cheng Liu, Mike Zheng Shou
• Videonsa: Native Sparse Attention Scales Video Understanding (2025) • No Venue
  Song et al.
• SFT Memorizes, RL Generalizes: A Comparative Study Of Foundation Model Post-training (2025) • No Venue
  Chu et al.
• Metaclip 2: A Worldwide Scaling Recipe (2025) • No Venue
  Chuang et al.
• Aya Vision: Advancing The Frontier Of Multilingual Multimodality (2025) • No Venue
  Dash et al.
• Streaming Diloco With Overlapping Communication: Towards A Distributed Free Lunch (2025) • No Venue
  Douillard et al.
• SONAR-LLM: Autoregressive Transformer That Thinks In Sentence Embeddings And Speaks In Tokens (2025) • No Venue
  Dragunov et al.
• Unimmvsr: A Unified Multi-modal Framework For Cascaded Video Super-resolution (2025) • No Venue
  Du et al.
• Meshllm: Empowering Large Language Models To Progressively Understand And Generate 3D Mesh (2025) • No Venue
  Fang et al.
• WILDCHAT-50M: A Deep Dive Into The Role Of Synthetic Data In Post-training (2025) • No Venue
  Benjamin Feuer, Chinmay Hegde
• Optimal Scaling Needs Optimal Norm (2025) • No Venue
  Filatov et al.
• Transformers Without Normalization (2025) • No Venue
  Zhu et al.
• Hidden Dynamics Of Massive Activations In Transformer Training (2025) • No Venue
  Gallego-Feliciano et al.
• Nemotron-flash: Towards Latency-optimal Hybrid Small Language Models (2025) • No Venue
  Fu et al.
• Audio Flamingo 2: An Audio-language Model With Long-audio Understanding And Expert Reasoning Abilities (2025) • No Venue
  Ghosh et al.
• Audio Flamingo 3: Advancing Audio Intelligence With Fully Open Large Audio Language Models (2025) • No Venue
  Goel et al.
• Finerweb: Datasets And Artifacts For Scalable Multilingual Named Entity Recognition (2025) • No Venue
  Jonas Golde, Patrick Haller, Alan Akbik
• Long-context Autoregressive Video Modeling With Next-frame Prediction (2025) • No Venue
  Yuchao Gu, Weijia Mao, Mike Zheng Shou
• Train Long, Think Short: Curriculum Learning For Efficient Reasoning (2025) • No Venue
  Hammoud et al.
• Don't Overthink It. Preferring Shorter Thinking Chains For Improved LLM Reasoning (2025) • No Venue
  Hassid et al.
• Low-precision Training Of Large Language Models: Methods, Challenges, And Opportunities (2025) • No Venue
  Hao et al.
• Justrl: Scaling A 1.5B LLM With A Simple RL Recipe (2025) • No Venue
  He et al.
• Emilia: A Large-scale, Extensive, Multilingual, And Diverse Dataset For Speech Generation (2025) • No Venue
  He et al.
• Deepmath-103k: A Large-scale, Challenging, Decontaminated, And Verifiable Mathematical Dataset For Advancing Reasoning (2025) • No Venue
  He et al.
• Hardtests: Synthesizing High-quality Test Cases For LLM Coding (2025) • No Venue
  He et al.
• Olmoearth: Stable Latent Image Modeling For Multimodal Earth Observation (2025) • No Venue
  Herzog et al.
• Provable Benefits Of In-tool Learning For Large Language Models (2025) • No Venue
  Houliston et al.
• Is Extending Modality The Right Path Towards Omni-modality? (2025) • No Venue
  Zhu et al.
• Groundingsuite: Measuring Complex Multi-granular Pixel Grounding (2025) • No Venue
  Hu et al.
• Proclip: Progressive Vision-language Alignment Via Llm-based Embedder (2025) • No Venue
  Hu et al.
• Internvl3: Exploring Advanced Training And Test-time Recipes For Open-source Multimodal Models (2025) • No Venue
  Zhu et al.
• Stable-spam: How To Train In 4-bit More Stably Than 16-bit Adam (2025) • No Venue
  Huang et al.
• When Thoughts Meet Facts: Reusable Reasoning For Long-context Lms (2025) • No Venue
  Jeong et al.
• Loopholing Discrete Diffusion: Deterministic Bypass Of The Sampling Wall (2025) • No Venue
  Jo et al.
• Continuous Diffusion Model For Language Modeling (2025) • No Venue
  Jaehyeong Jo, Sung Ju Hwang
• Pippo: High-resolution Multi-view Humans From A Single Image (2025) • No Venue
  Kant et al.
• Llama-3.1-foundationai-securityllm-base-8b Technical Report (2025) • No Venue
  Kassianik et al.
• Marigold: Affordable Adaptation Of Diffusion-based Image Generators For Image Analysis (2025) • No Venue
  Ke et al.
• Kormo: Korean Open Reasoning Model For Everyone (2025) • No Venue
  Kim et al.
• Mol-llama: Towards General Understanding Of Molecules In Large Molecular Language Model (2025) • No Venue
  Dongki Kim, Wonbin Lee, Sung Ju Hwang
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  Ding et al.
• Ominicontrol: Minimal And Universal Control For Diffusion Transformer (2024) • No Venue
  Tan et al.
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• Vidgen-1m: A Large-scale Dataset For Text-to-video Generation (2024) • No Venue
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  Wang et al.
• A Recipe For Scaling Up Text-to-video Generation With Text-free Videos (2023) • No Venue
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• Benchmarking Neural Network Training Algorithms (2023) • No Venue
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  Cunningham et al.
• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
  Wang et al.
• Bubogpt: Enabling Visual Grounding In Multi-modal Llms (2023) • No Venue
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• DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model (2023) • No Venue
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• Motiongpt: Human Motion As A Foreign Language (2023) • No Venue
  Jiang et al.
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  Gong et al.
• LRM: Large Reconstruction Model For Single Image To 3D (2023) • No Venue
  Hong et al.
• Emernerf: Emergent Spatial-temporal Scene Decomposition Via Self-supervision (2023) • No Venue
  Yang et al.
• Distilling Large Language Models For Biomedical Knowledge Extraction: A Case Study On Adverse Drug Events (2023) • No Venue
  Gu et al.
• Retroformer: Retrospective Large Language Agents With Policy Gradient Optimization (2023) • No Venue
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• Mosaic-sdf For 3D Generative Models (2023) • No Venue
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• Weight Subcloning: Direct Initialization Of Transformers Using Larger Pretrained Ones (2023) • No Venue
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• Text2control3d: Controllable 3D Avatar Generation In Neural Radiance Fields Using Geometry-guided Text-to-image Diffusion Model (2023) • No Venue
  Sungwon Hwang, Junha Hyung, Jaegul Choo
• Sketch-a-shape: Zero-shot Sketch-to-3d Shape Generation (2023) • No Venue
  Sanghi et al.
• Unified Model For Image, Video, Audio And Language Tasks (2023) • No Venue
  Shukor et al.
• Scaling Up And Distilling Down: Language-guided Robot Skill Acquisition (2023) • No Venue
  Huy Ha, Pete Florence, Shuran Song
• Slimpajama-dc: Understanding Data Combinations For LLM Training (2023) • No Venue
  Shen et al.
• The Refinedweb Dataset For Falcon LLM: Outperforming Curated Corpora With Web Data, And Web Data Only (2023) • No Venue
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• Zero Bubble Pipeline Parallelism (2023) • No Venue
  Qi et al.
• Segment And Caption Anything (2023) • No Venue
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• Livephoto: Real Image Animation With Text-guided Motion Control (2023) • No Venue
  Chen et al.
• CLEX: Continuous Length Extrapolation For Large Language Models (2023) • No Venue
  Chen et al.
• Low-rank Adaptation Of Large Language Model Rescoring For Parameter-efficient Speech Recognition (2023) • No Venue
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• Sherpa3d: Boosting High-fidelity Text-to-3d Generation Via Coarse 3D Prior (2023) • No Venue
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• Llava-med: Training A Large Language-and-vision Assistant For Biomedicine In One Day (2023) • No Venue
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• Emergence Of Segmentation With Minimalistic White-box Transformers (2023) • No Venue
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• Metamath: Bootstrap Your Own Mathematical Questions For Large Language Models (2023) • No Venue
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• Robot Learning With Sensorimotor Pre-training (2023) • No Venue
  Radosavovic et al.
• Culturax: A Cleaned, Enormous, And Multilingual Dataset For Large Language Models In 167 Languages (2023) • No Venue
  Nguyen et al.
• GPT Can Solve Mathematical Problems Without A Calculator (2023) • No Venue
  Yang et al.
• Merlin:empowering Multimodal Llms With Foresight Minds (2023) • No Venue
  Yu et al.
• Teaching Arithmetic To Small Transformers (2023) • No Venue
  Lee et al.
• Drugchat: Towards Enabling Chatgpt-like Capabilities On Drug Molecule Graphs (2023) • No Venue
  Liang et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• A Survey On Large Language Models For Recommendation (2023) • World Wide Web • 227 citations
  Wu et al.
• Video-llama: An Instruction-tuned Audio-visual Language Model For Video Understanding (2023) • No Venue
  Hang Zhang, Xin Li, Lidong Bing
• PASTA: Pretrained Action-state Transformer Agents (2023) • No Venue
  Boige et al.
• Does Circuit Analysis Interpretability Scale? Evidence From Multiple Choice Capabilities In Chinchilla (2023) • No Venue
  Lieberum et al.
• Visual Instruction Tuning (2023) • Arxiv • 665 citations
  Liu et al.
• Langsplat: 3D Language Gaussian Splatting (2023) • No Venue
  Qin et al.
• Llms As Workers In Human-computational Algorithms? Replicating Crowdsourcing Pipelines With Llms (2023) • No Venue
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• Dreamdiffusion: Generating High-quality Images From Brain EEG Signals (2023) • No Venue
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• Small-scale Proxies For Large-scale Transformer Training Instabilities (2023) • No Venue
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• FLM-101B: An Open LLM And How To Train It With $100K Budget (2023) • No Venue
  Li et al.
• CCM: Adding Conditional Controls To Text-to-image Consistency Models (2023) • No Venue
  Xiao et al.
• Training Models To Generate, Recognize, And Reframe Unhelpful Thoughts (2023) • No Venue
  Maddela et al.
• Modelscope-agent: Building Your Customizable Agent System With Open-source Large Language Models (2023) • No Venue
  Li et al.
• Loftq: Lora-fine-tuning-aware Quantization For Large Language Models (2023) • No Venue
  Li et al.
• Domain-agnostic Tuning-encoder For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Arar et al.
• Kandinsky 3.0 Technical Report (2023) • No Venue
  Arkhipkin et al.
• Next-gpt: Any-to-any Multimodal LLM (2023) • No Venue
  Wu et al.
• FP8-LM: Training FP8 Large Language Models (2023) • No Venue
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• Polylm: An Open Source Polyglot Large Language Model (2023) • No Venue
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• Eureka: Human-level Reward Design Via Coding Large Language Models (2023) • No Venue
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• Univtg: Towards Unified Video-language Temporal Grounding (2023) • No Venue
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• Common Diffusion Noise Schedules And Sample Steps Are Flawed (2023) • No Venue
  Lin et al.
• Learning To Model The World With Language (2023) • No Venue
  Lin et al.
• Help Me Write A Poem: Instruction Tuning As A Vehicle For Collaborative Poetry Writing (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 38 citations
  Tuhin Chakrabarty, Vishakh Padmakumar, He He
• Multitask Prompted Training Enables Zero-shot Task Generalization (2021) • Arxiv • 560 citations
  Sanh et al.
• Mt5: A Massively Multilingual Pre-trained Text-to-text Transformer (2020) • Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 666 citations
  Xue et al.

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Uncategorized 224 papers #

• Digital Twin AI: Opportunities And Challenges From Large Language Models To World Models (2026) • No Venue
  Zhou et al.
• Heartmula: A Family Of Open Sourced Music Foundation Models (2026) • No Venue
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• Diffcot: Diffusion-styled Chain-of-thought Reasoning In Llms (2026) • No Venue
  Cao et al.
• Relayllm: Efficient Reasoning Via Collaborative Decoding (2026) • No Venue
  Huang et al.
• Self-refining Video Sampling (2026) • No Venue
  Jang et al.
• VIBEVOICE-ASR Technical Report (2026) • No Venue
  Peng et al.
• High-fidelity Simulated Data Generation For Real-world Zero-shot Robotic Manipulation Learning With Gaussian Splatting (2025) • No Venue
  Zhao et al.
• Fantastic Reasoning Behaviors And Where To Find Them: Unsupervised Discovery Of The Reasoning Process (2025) • No Venue
  Zhang et al.
• Thought Communication In Multiagent Collaboration (2025) • No Venue
  Zheng et al.
• Soundwave: Less Is More For Speech-text Alignment In Llms (2025) • No Venue
  Zhang et al.
• Stream-omni: Simultaneous Multimodal Interactions With Large Language-vision-speech Model (2025) • No Venue
  Zhang et al.
• SAKE: Towards Editing Auditory Attribute Knowledge Of Large Audio-language Models (2025) • No Venue
  Yang et al.
• CAST: Component-aligned 3D Scene Reconstruction From An RGB Image (2025) • No Venue
  Yao et al.
• Lumen: Consistent Video Relighting And Harmonious Background Replacement With Video Generative Models (2025) • No Venue
  Zeng et al.
• Visual Representation Alignment For Multimodal Large Language Models (2025) • No Venue
  Yoon et al.
• Llada-v: Large Language Diffusion Models With Visual Instruction Tuning (2025) • No Venue
  You et al.
• Refeed: Multi-dimensional Summarization Refinement With Reflective Reasoning On Feedback (2025) • No Venue
  Yun et al.
• Essential-web V1.0: 24T Tokens Of Organized Web Data (2025) • No Venue
  Ai et al.
• Towards Best Practices For Open Datasets For LLM Training (2025) • No Venue
  Baack et al.
• Forecasting Open-weight AI Model Growth On Hugging Face (2025) • No Venue
  Kushal Raj Bhandari, Pin-Yu Chen, Jianxi Gao
• Thought Anchors: Which LLM Reasoning Steps Matter? (2025) • No Venue
  Bogdan et al.
• Videocanvas: Unified Video Completion From Arbitrary Spatiotemporal Patches Via In-context Conditioning (2025) • No Venue
  Cai et al.
• Scaling Spatial Intelligence With Multimodal Foundation Models (2025) • No Venue
  Cai et al.
• Large Language Models Do NOT Really Know What They Don't Know (2025) • No Venue
  Cheang et al.
• Minmo: A Multimodal Large Language Model For Seamless Voice Interaction (2025) • No Venue
  Chen et al.
• L^2M: Mutual Information Scaling Law For Long-context Language Modeling (2025) • No Venue
  Chen et al.
• Multimodal Representation Alignment For Image Generation: Text-image Interleaved Control Is Easier Than You Think (2025) • No Venue
  Chen et al.
• Gencompositor: Generative Video Compositing With Diffusion Transformer (2025) • No Venue
  Yang et al.
• 4D-RGPT: Toward Region-level 4D Understanding Via Perceptual Distillation (2025) • No Venue
  Yang et al.
• Diffusion Transformers With Representation Autoencoders (2025) • No Venue
  Zheng et al.
• STAR: Spatial-temporal Augmentation With Text-to-video Models For Real-world Video Super-resolution (2025) • No Venue
  Xie et al.
• Cinemaster: A 3d-aware And Controllable Framework For Cinematic Text-to-video Generation (2025) • No Venue
  Wang et al.
• Fantasytalking: Realistic Talking Portrait Generation Via Coherent Motion Synthesis (2025) • No Venue
  Wang et al.
• GPT-IMAGE-EDIT-1.5M: A Million-scale, Gpt-generated Image Dataset (2025) • No Venue
  Wang et al.
• Scoreflow: Mastering LLM Agent Workflows Via Score-based Preference Optimization (2025) • No Venue
  Wang et al.
• Streaming Video Instruction Tuning (2025) • No Venue
  Xia et al.
• Naturelm: Deciphering The Language Of Nature For Scientific Discovery (2025) • No Venue
  Xia et al.
• Shifting Long-context Llms Research From Input To Output (2025) • No Venue
  Wu et al.
• Video Models Are Zero-shot Learners And Reasoners (2025) • No Venue
  Wiedemer et al.
• Olmo 3 (2025) • No Venue
  Olmo et al.
• Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information (2025) • No Venue
  Park et al.
• Unveiling Intrinsic Dimension Of Texts: From Academic Abstract To Creative Story (2025) • No Venue
  Pedashenko et al.
• Presumed Cultural Identity: How Names Shape LLM Responses (2025) • No Venue
  Pawar et al.
• OWSM V4: Improving Open Whisper-style Speech Models Via Data Scaling And Cleaning (2025) • No Venue
  Peng et al.
• CLIPPER: Compression Enables Long-context Synthetic Data Generation (2025) • No Venue
  Chau Minh Pham, Yapei Chang, Mohit Iyyer
• Pico-banana-400k: A Large-scale Dataset For Text-guided Image Editing (2025) • No Venue
  Qian et al.
• Guidance In The Frequency Domain Enables High-fidelity Sampling At Low CFG Scales (2025) • No Venue
  Sadat et al.
• Geopolitical Biases In Llms: What Are The "good" And The "bad" Countries According To Contemporary Language Models (2025) • No Venue
  Salnikov et al.
• Flowmo: Variance-based Flow Guidance For Coherent Motion In Video Generation (2025) • No Venue
  Shaulov et al.
• From Virtual Games To Real-world Play (2025) • No Venue
  Sun et al.
• Revisiting Long-context Modeling From Context Denoising Perspective (2025) • No Venue
  Tang et al.
• Step-audio-r1 Technical Report (2025) • No Venue
  Tian et al.
• Training-free Watermarking For Autoregressive Image Generation (2025) • No Venue
  Tong et al.
• The Illusion Of Diminishing Returns: Measuring Long Horizon Execution In Llms (2025) • No Venue
  Sinha et al.
• Beyond Release: Access Considerations For Generative AI Systems (2025) • No Venue
  Solaiman et al.
• Progco: Program Helps Self-correction Of Large Language Models (2025) • No Venue
  Song et al.
• Stabletoken: A Noise-robust Semantic Speech Tokenizer For Resilient Speechllms (2025) • No Venue
  Song et al.
• Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities For Mllms (2025) • No Venue
  Choi et al.
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  Couairon et al.
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  Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag
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  Davies et al.
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  Du et al.
• Dynaword: From One-shot To Continuously Developed Datasets (2025) • No Venue
  Enevoldsen et al.
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• Could Thinking Multilingually Empower LLM Reasoning? (2025) • No Venue
  Gao et al.
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  Gottesman et al.
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  Gu et al.
• Attributes As Textual Genes: Leveraging Llms As Genetic Algorithm Simulators For Conditional Synthetic Data Generation (2025) • No Venue
  Guangzeng Han, Weisi Liu, Xiaolei Huang
• MAGA: Massive Genre-audience Reformulation To Pretraining Corpus Expansion (2025) • No Venue
  Xintong Hao, Ke Shen, Chenggang Li
• Mesatask: Towards Task-driven Tabletop Scene Generation Via 3D Spatial Reasoning (2025) • No Venue
  Hao et al.
• We Can't Understand AI Using Our Existing Vocabulary (2025) • No Venue
  John Hewitt, Robert Geirhos, Been Kim
• Dynaguard: A Dynamic Guardrail Model With User-defined Policies (2025) • No Venue
  Hoover et al.
• The Imitation Game: Turing Machine Imitator Is Length Generalizable Reasoner (2025) • No Venue
  Hua et al.
• Draco: Draft As Cot For Text-to-image Preview And Rare Concept Generation (2025) • No Venue
  Jiang et al.
• Megatts 3: Sparse Alignment Enhanced Latent Diffusion Transformer For Zero-shot Speech Synthesis (2025) • No Venue
  Jiang et al.
• On The Role Of Discreteness In Diffusion Llms (2025) • No Venue
  Jin et al.
• When Life Gives You Samples: The Benefits Of Scaling Up Inference Compute For Multilingual Llms (2025) • No Venue
  Khairi et al.
• Curie: Toward Rigorous And Automated Scientific Experimentation With AI Agents (2025) • No Venue
  Kon et al.
• Heeding The Inner Voice: Aligning Controlnet Training Via Intermediate Features Feedback (2025) • No Venue
  Konovalova et al.
• World Modeling With Probabilistic Structure Integration (2025) • No Venue
  Kotar et al.
• The Principles Of Diffusion Models (2025) • No Venue
  Lai et al.
• Analysing Chain Of Thought Dynamics: Active Guidance Or Unfaithful Post-hoc Rationalisation? (2025) • No Venue
  Lewis-Lim et al.
• Coig-writer: A High-quality Dataset For Chinese Creative Writing With Thought Processes (2025) • No Venue
  Li et al.
• Back To Basics: Let Denoising Generative Models Denoise (2025) • No Venue
  Tianhong Li, Kaiming He
• Seek In The Dark: Reasoning Via Test-time Instance-level Policy Gradient In Latent Space (2025) • No Venue
  Li et al.
• Temporal Preference Optimization For Long-form Video Understanding (2025) • No Venue
  Li et al.
• Triposg: High-fidelity 3D Shape Synthesis Using Large-scale Rectified Flow Models (2025) • No Venue
  Li et al.
• Understanding The Thinking Process Of Reasoning Models: A Perspective From Schoenfeld's Episode Theory (2025) • No Venue
  Li et al.
• Building Foundations For Natural Language Processing Of Historical Turkish: Resources And Models (2025) • No Venue
  Özateş et al.
• Hocomp: Interaction-aware Human-object Composition (2025) • No Venue
  Liang et al.
• Mmsi-video-bench: A Holistic Benchmark For Video-based Spatial Intelligence (2025) • No Venue
  Lin et al.
• A Cartography Of Open Collaboration In Open Source AI: Mapping Practices, Motivations, And Governance In 14 Open Large Language Model Projects (2025) • No Venue
  Linåker et al.
• Phantom: Subject-consistent Video Generation Via Cross-modal Alignment (2025) • No Venue
  Liu et al.
• Self-reflective Generation At Test Time (2025) • No Venue
  Mu et al.
• Visual Embodied Brain: Let Multimodal Large Language Models See, Think, And Control In Spaces (2025) • No Venue
  Luo et al.
• Feedforward 3D Editing Via Text-steerable Image-to-3d (2025) • No Venue
  Ma et al.
• Cot-valve: Length-compressible Chain-of-thought Tuning (2025) • No Venue
  Ma et al.
• Foundation Models For Scientific Discovery: From Paradigm Enhancement To Paradigm Transition (2025) • No Venue
  Liu et al.
• Manipulation As In Simulation: Enabling Accurate Geometry Perception In Robots (2025) • No Venue
  Liu et al.
• Shape-for-motion: Precise And Consistent Video Editing With 3D Proxy (2025) • No Venue
  Liu et al.
• Videoreasonbench: Can Mllms Perform Vision-centric Complex Video Reasoning? (2025) • No Venue
  Liu et al.
• Realm: Reference Resolution As Language Modeling (2024) • No Venue
  Moniz et al.
• Consent In Crisis: The Rapid Decline Of The AI Data Commons (2024) • No Venue
  Longpre et al.
• Harvesting Textual And Structured Data From The HAL Publication Repository (2024) • No Venue
  Kulumba et al.
• Tokenflow: Unified Image Tokenizer For Multimodal Understanding And Generation (2024) • No Venue
  Qu et al.
• Mupt: A Generative Symbolic Music Pretrained Transformer (2024) • No Venue
  Qu et al.
• Source2synth: Synthetic Data Generation And Curation Grounded In Real Data Sources (2024) • No Venue
  Lupidi et al.
• Weblinx: Real-world Website Navigation With Multi-turn Dialogue (2024) • No Venue
  Xing Han Lù, Zdeněk Kasner, Siva Reddy
• Groma: Localized Visual Tokenization For Grounding Multimodal Large Language Models (2024) • No Venue
  Ma et al.
• Ctrl-adapter: An Efficient And Versatile Framework For Adapting Diverse Controls To Any Diffusion Model (2024) • No Venue
  Lin et al.
• Sora: A Review On Background, Technology, Limitations, And Opportunities Of Large Vision Models (2024) • No Venue
  Liu et al.
• Reconx: Reconstruct Any Scene From Sparse Views With Video Diffusion Model (2024) • No Venue
  Liu et al.
• Generative Photomontage (2024) • No Venue
  Liu et al.
• I2vedit: First-frame-guided Video Editing Via Image-to-video Diffusion Models (2024) • No Venue
  Ouyang et al.
• Item-language Model For Conversational Recommendation (2024) • No Venue
  Yang et al.
• A Comparative Study On Reasoning Patterns Of Openai's O1 Model (2024) • No Venue
  Wu et al.
• Iterative Reasoning Preference Optimization (2024) • No Venue
  Pang et al.
• Λ-eclipse: Multi-concept Personalized Text-to-image Diffusion Models By Leveraging CLIP Latent Space (2024) • No Venue
  Patel et al.
• Fiva: Fine-grained Visual Attribute Dataset For Text-to-image Diffusion Models (2024) • No Venue
  Wu et al.
• Pre-training Distillation For Large Language Models: A Design Space Exploration (2024) • No Venue
  Peng et al.
• Tablebench: A Comprehensive And Complex Benchmark For Table Question Answering (2024) • No Venue
  Wu et al.
• Preference Tuning For Toxicity Mitigation Generalizes Across Languages (2024) • No Venue
  Xiaochen Li, Zheng-Xin Yong, Stephen H. Bach
• Chain-of-knowledge: Integrating Knowledge Reasoning Into Large Language Models By Learning From Knowledge Graphs (2024) • No Venue
  Zhang et al.
• Anygpt: Unified Multimodal LLM With Discrete Sequence Modeling (2024) • No Venue
  Zhan et al.
• Llm-jp: A Cross-organizational Project For The Research And Development Of Fully Open Japanese Llms (2024) • No Venue
  Llm-Jp et al.
• Takin: A Cohort Of Superior Quality Zero-shot Speech Generation Models (2024) • No Venue
  Everestai et al.
• Score Distillation Sampling With Learned Manifold Corrective (2024) • No Venue
  Thiemo Alldieck, Nikos Kolotouros, Cristian Sminchisescu
• Longkey: Keyphrase Extraction For Long Documents (2024) • No Venue
  Alves et al.
• Physics In Next-token Prediction (2024) • No Venue
  Hongjun An, Yiliang Song, Xuelong Li
• Stable Flow: Vital Layers For Training-free Image Editing (2024) • No Venue
  Avrahami et al.
• Chemllm: A Chemical Large Language Model (2024) • No Venue
  Zhang et al.
• Seed-music: A Unified Framework For High Quality And Controlled Music Generation (2024) • No Venue
  Bai et al.
• TC4D: Trajectory-conditioned Text-to-4d Generation (2024) • No Venue
  Bahmani et al.
• Identity-preserving Text-to-video Generation By Frequency Decomposition (2024) • No Venue
  Yuan et al.
• Replaceanything3d:text-guided 3D Scene Editing With Compositional Neural Radiance Fields (2024) • No Venue
  Bartrum et al.
• Open-vocabulary SAM: Segment And Recognize Twenty-thousand Classes Interactively (2024) • No Venue
  Yuan et al.
• Magictime: Time-lapse Video Generation Models As Metamorphic Simulators (2024) • No Venue
  Yuan et al.
• Analyzing The Language Of Visual Tokens (2024) • No Venue
  Chan et al.
• Transformers Meet Neural Algorithmic Reasoners (2024) • No Venue
  Bounsi et al.
• From MOOC To MAIC: Reshaping Online Teaching And Learning Through Llm-driven Agents (2024) • No Venue
  Yu et al.
• Matchtime: Towards Automatic Soccer Game Commentary Generation (2024) • No Venue
  Rao et al.
• F-HOI: Toward Fine-grained Semantic-aligned 3D Human-object Interactions (2024) • No Venue
  Yang et al.
• On Scalable Oversight With Weak Llms Judging Strong Llms (2024) • No Venue
  Kenton et al.
• Reenact Anything: Semantic Video Motion Transfer Using Motion-textual Inversion (2024) • No Venue
  Kansy et al.
• Drowning In Documents: Consequences Of Scaling Reranker Inference (2024) • No Venue
  Jacob et al.
• MMAU: A Massive Multi-task Audio Understanding And Reasoning Benchmark (2024) • No Venue
  Sakshi et al.
• Continuous Speech Synthesis Using Per-token Latent Diffusion (2024) • No Venue
  Turetzky et al.
• Symbolic Learning Enables Self-evolving Agents (2024) • No Venue
  Zhou et al.
• Social Skill Training With Large Language Models (2024) • No Venue
  Yang et al.
• Long Video Diffusion Generation With Segmented Cross-attention And Content-rich Video Data Curation (2024) • No Venue
  Yan et al.
• Worlddreamer: Towards General World Models For Video Generation Via Predicting Masked Tokens (2024) • No Venue
  Wang et al.
• ELLA: Equip Diffusion Models With LLM For Enhanced Semantic Alignment (2024) • No Venue
  Hu et al.
• Streamvoice: Streamable Context-aware Language Modeling For Real-time Zero-shot Voice Conversion (2024) • No Venue
  Wang et al.
• Stableidentity: Inserting Anybody Into Anywhere At First Sight (2024) • No Venue
  Wang et al.
• How Do Large Language Models Acquire Factual Knowledge During Pretraining? (2024) • No Venue
  Chang et al.
• Clinicalbench: Can Llms Beat Traditional ML Models In Clinical Prediction? (2024) • No Venue
  Chen et al.
• MS MARCO Web Search: A Large-scale Information-rich Web Dataset With Millions Of Real Click Labels (2024) • No Venue
  Chen et al.
• Foleycrafter: Bring Silent Videos To Life With Lifelike And Synchronized Sounds (2024) • No Venue
  Zhang et al.
• Sketch2nerf: Multi-view Sketch-guided Text-to-3d Generation (2024) • No Venue
  Chen et al.
• Towards Building Specialized Generalist AI With System 1 And System 2 Fusion (2024) • No Venue
  Kaiyan Zhang, Biqing Qi, Bowen Zhou
• Spactor-t5: Pre-training T5 Models With Span Corruption And Replaced Token Detection (2024) • No Venue
  Ye et al.
• Transformer Explainer: Interactive Learning Of Text-generative Models (2024) • No Venue
  Cho et al.
• Image Copy Detection For Diffusion Models (2024) • No Venue
  Wang et al.
• Towards Flexible Perception With Visual Memory (2024) • No Venue
  Geirhos et al.
• Cantor: Inspiring Multimodal Chain-of-thought Of MLLM (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 13 citations
  Gao et al.
• Stream Of Search (sos): Learning To Search In Language (2024) • No Venue
  Gandhi et al.
• Autoregressive Model Beats Diffusion: Llama For Scalable Image Generation (2024) • No Venue
  Sun et al.
• VITA: Towards Open-source Interactive Omni Multimodal LLM (2024) • No Venue
  Fu et al.
• SEE-2-SOUND: Zero-shot Spatial Environment-to-spatial Sound (2024) • No Venue
  Dagli et al.
• Drt-o1: Optimized Deep Reasoning Translation Via Long Chain-of-thought (2024) • No Venue
  Wang et al.
• Chatcell: Facilitating Single-cell Analysis With Natural Language (2024) • No Venue
  Fang et al.
• Not All Language Model Features Are Linear (2024) • No Venue
  Engels et al.
• ALPINE: Unveiling The Planning Capability Of Autoregressive Learning In Language Models (2024) • No Venue
  Wang et al.
• A Tale Of Tails: Model Collapse As A Change Of Scaling Laws (2024) • No Venue
  Dohmatob et al.
• Incremental Fastpitch: Chunk-based High Quality Text To Speech (2024) • No Venue
  Muyang Du, Chuan Liu, Junjie Lai
• Brain2music: Reconstructing Music From Human Brain Activity (2023) • No Venue
  Denk et al.
• Tokenflow: Consistent Diffusion Features For Consistent Video Editing (2023) • No Venue
  Geyer et al.
• Generative AI For Math: Part I -- Mathpile: A Billion-token-scale Pretraining Corpus For Math (2023) • No Venue
  Zengzhi Wang, Rui Xia, Pengfei Liu
• Three Bricks To Consolidate Watermarks For Large Language Models (2023) • No Venue
  Fernandez et al.
• E3 TTS: Easy End-to-end Diffusion-based Text To Speech (2023) • No Venue
  Gao et al.
• On The Origin Of Llms: An Evolutionary Tree And Graph For 15,821 Large Language Models (2023) • No Venue
  Sarah Gao, Andrew Kean Gao
• Graphdreamer: Compositional 3D Scene Synthesis From Scene Graphs (2023) • No Venue
  Gao et al.
• Speechx: Neural Codec Language Model As A Versatile Speech Transformer (2023) • No Venue
  Wang et al.
• Taming Mode Collapse In Score Distillation For Text-to-3d Generation (2023) • No Venue
  Wang et al.
• Qwen-audio: Advancing Universal Audio Understanding Via Unified Large-scale Audio-language Models (2023) • No Venue
  Chu et al.
• Dola: Decoding By Contrasting Layers Improves Factuality In Large Language Models (2023) • No Venue
  Chuang et al.
• Diloco: Distributed Low-communication Training Of Language Models (2023) • No Venue
  Douillard et al.
• Michelangelo: Conditional 3D Shape Generation Based On Shape-image-text Aligned Latent Representation (2023) • No Venue
  Zhao et al.
• A Technical Report For Polyglot-ko: Open-source Large-scale Korean Language Models (2023) • No Venue
  Ko et al.
• Beyond Chinchilla-optimal: Accounting For Inference In Language Model Scaling Laws (2023) • No Venue
  Nikhil Sardana, Jonathan Frankle
• Large Language Models Cannot Self-correct Reasoning Yet (2023) • No Venue
  Huang et al.
• The ART Of LLM Refinement: Ask, Refine, And Trust (2023) • No Venue
  Shridhar et al.
• PIPPA: A Partially Synthetic Conversational Dataset (2023) • No Venue
  Tear Gosling, Alpin Dale, Yinhe Zheng
• Personality Traits In Large Language Models (2023) • No Venue
  Safdari et al.
• Platonerf: 3D Reconstruction In Plato's Cave Via Single-view Two-bounce Lidar (2023) • No Venue
  Klinghoffer et al.
• Face0: Instantaneously Conditioning A Text-to-image Model On A Face (2023) • No Venue
  Valevski et al.
• Consistency Analysis Of Chatgpt (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 50 citations
  Myeongjun Erik Jang, Thomas Lukasiewicz
• Moviechat: From Dense Token To Sparse Memory For Long Video Understanding (2023) • No Venue
  Song et al.
• The Consensus Game: Language Model Generation Via Equilibrium Search (2023) • No Venue
  Jacob et al.
• Collaborative Score Distillation For Consistent Visual Synthesis (2023) • No Venue
  Kim et al.
• Steering Llama 2 Via Contrastive Activation Addition (2023) • No Venue
  Rimsky et al.
• Audiogpt: Understanding And Generating Speech, Music, Sound, And Talking Head (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 73 citations
  Huang et al.
• LEDITS: Real Image Editing With DDPM Inversion And Semantic Guidance (2023) • No Venue
  Linoy Tsaban, Apolinário Passos
• Lm-infinite: Simple On-the-fly Length Generalization For Large Language Models (2023) • No Venue
  Han et al.
• GAIA: A Benchmark For General AI Assistants (2023) • No Venue
  Mialon et al.
• Building Cooperative Embodied Agents Modularly With Large Language Models (2023) • No Venue
  Zhang et al.
• Videocrafter1: Open Diffusion Models For High-quality Video Generation (2023) • No Venue
  Chen et al.
• Diffit: Diffusion Vision Transformers For Image Generation (2023) • No Venue
  Hatamizadeh et al.
• MADLAD-400: A Multilingual And Document-level Large Audited Dataset (2023) • No Venue
  Kudugunta et al.
• Generative Rendering: Controllable 4d-guided Video Generation With 2D Diffusion Models (2023) • No Venue
  Cai et al.
• Measuring Faithfulness In Chain-of-thought Reasoning (2023) • No Venue
  Lanham et al.
• Sparks Of Artificial General Intelligence: Early Experiments With GPT-4 (2023) • Arxiv • 1505 citations
  Bubeck et al.
• GRIM: Graph-based Interactive Narrative Visualization For Games (2023) • No Venue
  Leandro et al.
• Align Your Gaussians: Text-to-4d With Dynamic 3D Gaussians And Composed Diffusion Models (2023) • No Venue
  Ling et al.
• DL3DV-10K: A Large-scale Scene Dataset For Deep Learning-based 3D Vision (2023) • No Venue
  Ling et al.
• Contrastive Decoding Improves Reasoning In Large Language Models (2023) • No Venue
  Sean O'Brien, Mike Lewis
• Beyond Chatbots: Explorellm For Structured Thoughts And Personalized Model Responses (2023) • No Venue
  Ma et al.
• Rank-without-gpt: Building Gpt-independent Listwise Rerankers On Open-source Large Language Models (2023) • No Venue
  Zhang et al.
• Fast Chain-of-thought: A Glance Of Future From Parallel Decoding Leads To Answers Faster (2023) • No Venue
  Zhang et al.
• A Zero-shot Language Agent For Computer Control With Structured Reflection (2023) • No Venue
  Li et al.
• Interactive Task Planning With Language Models (2023) • No Venue
  Li et al.
• Trailblazer: Trajectory Control For Diffusion-based Video Generation (2023) • No Venue
  Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn
• Openproteinset: Training Data For Structural Biology At Scale (2023) • No Venue
  Ahdritz et al.
• Language Models Are Weak Learners (2023) • No Venue
  Hariharan Manikandan, Yiding Jiang, J Zico Kolter

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— V —

Vision Language 1010 papers #

• Fantasyvln: Unified Multimodal Chain-of-thought Reasoning For Vision-language Navigation (2026) • No Venue
  Zuo et al.
• Acot-vla: Action Chain-of-thought For Vision-language-action Models (2026) • No Venue
  Zhong et al.
• Os-symphony: A Holistic Framework For Robust And Generalist Computer-using Agent (2026) • No Venue
  Yang et al.
• Twinbrainvla: Unleashing The Potential Of Generalist Vlms For Embodied Tasks Via Asymmetric Mixture-of-transformers (2026) • No Venue
  Yu et al.
• PROGRESSLM: Towards Progress Reasoning In Vision-language Models (2026) • No Venue
  Zhang et al.
• Cov: Chain-of-view Prompting For Spatial Reasoning (2026) • No Venue
  Zhao et al.
• Webgym: Scaling Training Environments For Visual Web Agents With Realistic Tasks (2026) • No Venue
  Bai et al.
• VINO: A Unified Visual Generator With Interleaved Omnimodal Context (2026) • No Venue
  Chen et al.
• What Users Leave Unsaid: Under-specified Queries Limit Vision-language Models (2026) • No Venue
  Choi et al.
• Molmo2: Open Weights And Data For Vision-language Models With Video Understanding And Grounding (2026) • No Venue
  Clark et al.
• Unicorn: Towards Self-improving Unified Multimodal Models Through Self-generated Supervision (2026) • No Venue
  Han et al.
• Gutenocr: A Grounded Vision-language Front-end For Documents (2026) • No Venue
  Heidenreich et al.
• Fast-thinkact: Efficient Vision-language-action Reasoning Via Verbalizable Latent Planning (2026) • No Venue
  Huang et al.
• Openvoxel: Training-free Grouping And Captioning Voxels For Open-vocabulary 3D Scene Understanding (2026) • No Venue
  Huang et al.
• STEP3-VL-10B Technical Report (2026) • No Venue
  Huang et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Avmeme Exam: A Multimodal Multilingual Multicultural Benchmark For Llms' Contextual And Cultural Knowledge And Thinking (2026) • No Venue
  Jiang et al.
• Qwen3-vl-embedding And Qwen3-vl-reranker: A Unified Framework For State-of-the-art Multimodal Retrieval And Ranking (2026) • No Venue
  Li et al.
• Bayesianvla: Bayesian Decomposition Of Vision Language Action Models Via Latent Action Queries (2026) • No Venue
  Lian et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• Ministral 3 (2026) • No Venue
  Liu et al.
• Skinflow: Efficient Information Transmission For Open Dermatological Diagnosis Via Dynamic Visual Encoding And Staged RL (2026) • No Venue
  Liu et al.
• Being-h0.5: Scaling Human-centric Robot Learning For Cross-embodiment Generalization (2026) • No Venue
  Luo et al.
• A Safety Report On GPT-5.2, Gemini 3 Pro, Qwen3-vl, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, And Seedream 4.5 (2026) • No Venue
  Ma et al.
• Typhoon OCR: Open Vision-language Model For Thai Document Extraction (2026) • No Venue
  Nonesung et al.
• Focusui: Efficient UI Grounding Via Position-preserving Visual Token Selection (2026) • No Venue
  Ouyang et al.
• SOP: A Scalable Online Post-training System For Vision-language-action Models (2026) • No Venue
  Pan et al.
• Aligning Text, Code, And Vision: A Multi-objective Reinforcement Learning Framework For Text-to-visualization (2026) • No Venue
  Rahman et al.
• Future Optical Flow Prediction Improves Robot Control & Video Generation (2026) • No Venue
  Ranasinghe et al.
• Danqing: An Up-to-date Large-scale Chinese Vision-language Pre-training Dataset (2026) • No Venue
  Shen et al.
• Lightonocr: A 1B End-to-end Multilingual Vision-language Model For State-of-the-art OCR (2026) • No Venue
  Said Taghadouini, Adrien Cavaillès, Baptiste Aubertin
• Robovip: Multi-view Video Generation With Visual Identity Prompting Augments Robot Manipulation (2026) • No Venue
  Wang et al.
• Forest Before Trees: Latent Superposition For Efficient Visual Reasoning (2026) • No Venue
  Wang et al.
• Render-of-thought: Rendering Textual Chain-of-thought As Images For Visual Latent Reasoning (2026) • No Venue
  Wang et al.
• Urban Socio-semantic Segmentation With Vision-language Reasoning (2026) • No Venue
  Wang et al.
• Visgym: Diverse, Customizable, Scalable Environments For Multimodal Agents (2026) • No Venue
  Wang et al.
• A Pragmatic VLA Foundation Model (2026) • No Venue
  Wu et al.
• Mmformalizer: Multimodal Autoformalization In The Wild (2026) • No Venue
  Xiong et al.
• Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study On Information-seeking QA Over Scientific Papers (2025) • No Venue
  Zhao et al.
• VLA^2: Empowering Vision-language-action Models With An Agentic Framework For Unseen Concept Manipulation (2025) • No Venue
  Zhao et al.
• Generative Universal Verifier As Multimodal Meta-reasoner (2025) • No Venue
  Zhang et al.
• CCD: Mitigating Hallucinations In Radiology Mllms Via Clinical Contrastive Decoding (2025) • No Venue
  Zhang et al.
• 2.5 Years In Class: A Multimodal Textbook For Vision-language Pretraining (2025) • No Venue
  Zhang et al.
• A4-agent: An Agentic Framework For Zero-shot Affordance Reasoning (2025) • No Venue
  Zhang et al.
• Breaking The Data Barrier -- Building GUI Agents Through Task Generalization (2025) • No Venue
  Zhang et al.
• From Spatial To Actions: Grounding Vision-language-action Model In Spatial Foundation Priors (2025) • No Venue
  Zhang et al.
• Dig-flow: Discrepancy-guided Flow Matching For Robust VLA Models (2025) • No Venue
  Zhang et al.
• Dreamvla: A Vision-language-action Model Dreamed With Comprehensive World Knowledge (2025) • No Venue
  Zhang et al.
• M3: 3d-spatial Multimodal Memory (2025) • No Venue
  Zou et al.
• See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning (2025) • No Venue
  Zhang et al.
• Sec: Advancing Complex Video Object Segmentation Via Progressive Concept Construction (2025) • No Venue
  Zhang et al.
• Vlm^2-bench: A Closer Look At How Well Vlms Implicitly Link Explicit Matching Visual Cues (2025) • No Venue
  Zhang et al.
• Vision-language-vision Auto-encoder: Scalable Knowledge Distillation From Diffusion Models (2025) • No Venue
  Zhang et al.
• Videollama 3: Frontier Multimodal Foundation Models For Image And Video Understanding (2025) • No Venue
  Zhang et al.
• Trivia: Self-supervised Fine-tuning Of Vision-language Models For Table Recognition (2025) • No Venue
  Zhang et al.
• TARS: Minmax Token-adaptive Preference Strategy For Hallucination Reduction In Mllms (2025) • No Venue
  Zhang et al.
• Llava-mini: Efficient Image And Video Large Multimodal Models With One Vision Token (2025) • No Venue
  Zhang et al.
• In-context Edit: Enabling Instructional Image Editing With In-context Generation In Large Scale Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Latent Sketchpad: Sketching Visual Thoughts To Elicit Multimodal Reasoning In Mllms (2025) • No Venue
  Zhang et al.
• Postergen: Aesthetic-aware Paper-to-poster Generation Via Multi-agent Llms (2025) • No Venue
  Zhang et al.
• Pixel-sail: Single Transformer For Pixel-grounded Understanding (2025) • No Venue
  Zhang et al.
• Phystoolbench: Benchmarking Physical Tool Understanding For Mllms (2025) • No Venue
  Zhang et al.
• Phi-ground Tech Report: Advancing Perception In GUI Grounding (2025) • No Venue
  Zhang et al.
• Openmmreasoner: Pushing The Frontiers For Multimodal Reasoning With An Open And General Recipe (2025) • No Venue
  Zhang et al.
• NAVIG: Natural Language-guided Analysis With Vision Language Models For Image Geo-localization (2025) • No Venue
  Zhang et al.
• IVY-FAKE: A Unified Explainable Framework And Benchmark For Image And Video AIGC Detection (2025) • No Venue
  Zhang et al.
• Pairuni: Pairwise Training For Unified Multimodal Language Models (2025) • No Venue
  Zheng et al.
• Mindjourney: Test-time Scaling With World Models For Spatial Reasoning (2025) • No Venue
  Yang et al.
• Machine Mental Imagery: Empower Multimodal Reasoning With Latent Visual Tokens (2025) • No Venue
  Yang et al.
• Lohovla: A Unified Vision-language-action Model For Long-horizon Embodied Tasks (2025) • No Venue
  Yang et al.
• Medical World Model: Generative Simulation Of Tumor Evolution For Treatment Planning (2025) • No Venue
  Yang et al.
• Magma: A Foundation Model For Multimodal AI Agents (2025) • No Venue
  Yang et al.
• Mantis: A Versatile Vision-language-action Model With Disentangled Visual Foresight (2025) • No Venue
  Yang et al.
• Steering Vision-language-action Models As Anti-exploration: A Test-time Scaling Approach (2025) • No Venue
  Yang et al.
• R1-onevision: Advancing Generalized Multimodal Reasoning Through Cross-modal Formalization (2025) • No Venue
  Yang et al.
• Dynvfx: Augmenting Real Videos With Dynamic Content (2025) • No Venue
  Yatim et al.
• Vidtext: Towards Comprehensive Evaluation For Video Text Understanding (2025) • No Venue
  Yang et al.
• Towards Physically Plausible Video Generation Via VLM Planning (2025) • No Venue
  Yang et al.
• Zerogui: Automating Online GUI Learning At Zero Human Cost (2025) • No Venue
  Yang et al.
• Vlaser: Vision-language-action Model With Synergistic Embodied Reasoning (2025) • No Venue
  Yang et al.
• Visionthink: Smart And Efficient Vision Language Model Via Reinforcement Learning (2025) • No Venue
  Yang et al.
• Visual Spatial Tuning (2025) • No Venue
  Yang et al.
• Wikiautogen: Towards Multi-modal Wikipedia-style Article Generation (2025) • No Venue
  Yang et al.
• Vector Prism: Animating Vector Graphics By Stratifying Semantic Structure (2025) • No Venue
  Jooyeol Yun, Jaegul Choo
• Through-the-mask: Mask-based Motion Trajectories For Image-to-video Generation (2025) • No Venue
  Yariv et al.
• Dream-vl & Dream-vla: Open Vision-language And Vision-language-action Models With Diffusion Language Model Backbone (2025) • No Venue
  Ye et al.
• Imgedit: A Unified Image Editing Dataset And Benchmark (2025) • No Venue
  Ye et al.
• VLA-R1: Enhancing Reasoning In Vision-language-action Models (2025) • No Venue
  Ye et al.
• Rlinf-vla: A Unified And Efficient Framework For VLA+RL Training (2025) • No Venue
  Zang et al.
• Internlm-xcomposer2.5-reward: A Simple Yet Effective Multi-modal Reward Model (2025) • No Venue
  Zang et al.
• Diffusionvl: Translating Any Autoregressive Models Into Diffusion Vision Language Models (2025) • No Venue
  Zeng et al.
• Agentic Jigsaw Interaction Learning For Enhancing Visual Perception And Reasoning In Vision-language Models (2025) • No Venue
  Zeng et al.
• A Glimpse To Compress: Dynamic Visual Token Pruning For Large Vision-language Models (2025) • No Venue
  Zeng et al.
• MIRA: Multimodal Iterative Reasoning Agent For Image Editing (2025) • No Venue
  Ziyun Zeng, Hang Hua, Jiebo Luo
• A Vision-language-action-critic Model For Robotic Real-world Reinforcement Learning (2025) • No Venue
  Zhai et al.
• Vision-r1: Evolving Human-free Alignment In Large Vision-language Models Via Vision-guided Reinforcement Learning (2025) • No Venue
  Zhan et al.
• Spatial Mental Modeling From Limited Views (2025) • No Venue
  Yin et al.
• REASONEDIT: Towards Reasoning-enhanced Image Editing Models (2025) • No Venue
  Yin et al.
• SAIL-VL2 Technical Report (2025) • No Venue
  Yin et al.
• Towards Omnimodal Expressions And Reasoning In Referring Audio-visual Segmentation (2025) • No Venue
  Ying et al.
• 4kagent: Agentic Any Image To 4K Super-resolution (2025) • No Venue
  Zuo et al.
• Vismem: Latent Vision Memory Unlocks Potential Of Vision-language Models (2025) • No Venue
  Yu et al.
• Introducing Visual Perception Token Into Multimodal Large Language Model (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
• Discrete Diffusion In Large Language And Multimodal Models: A Survey (2025) • No Venue
  Runpeng Yu, Qi Li, Xinchao Wang
• How Far Are Vlms From Visual Spatial Intelligence? A Benchmark-driven Perspective (2025) • No Venue
  Yu et al.
• Unicorn: Text-only Data Synthesis For Vision Language Model Training (2025) • No Venue
  Yu et al.
• Cad-editor: A Locate-then-infill Framework With Automated Training Data Synthesis For Text-based CAD Editing (2025) • No Venue
  Yuan et al.
• Being-0: A Humanoid Robotic Agent With Vision-language Models And Modular Skills (2025) • No Venue
  Yuan et al.
• Tarsier2: Advancing Large Vision-language Models From Detailed Video Description To Comprehensive Video Understanding (2025) • No Venue
  Yuan et al.
• Efficientllm: Efficiency In Large Language Models (2025) • No Venue
  Yuan et al.
• Embodied-r1: Reinforced Embodied Reasoning For General Robotic Manipulation (2025) • No Venue
  Yuan et al.
• GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems In Visual Contexts (2025) • No Venue
  Yuan et al.
• Mme-reasoning: A Comprehensive Benchmark For Logical Reasoning In Mllms (2025) • No Venue
  Yuan et al.
• Sa2va: Marrying SAM2 With Llava For Dense Grounded Understanding Of Images And Videos (2025) • No Venue
  Yuan et al.
• Vl-cogito: Progressive Curriculum Reinforcement Learning For Advanced Multimodal Reasoning (2025) • No Venue
  Yuan et al.
• World Simulation With Video Foundation Models For Physical AI (2025) • No Venue
  Nvidia et al.
• NVIDIA Nemotron Nano V2 VL (2025) • No Venue
  Nvidia et al.
• Phi-4-mini Technical Report: Compact Yet Powerful Multimodal Language Models Via Mixture-of-loras (2025) • No Venue
  Abouelenin et al.
• Llava-onevision-1.5: Fully Open Framework For Democratized Multimodal Training (2025) • No Venue
  An et al.
• LFM2 Technical Report (2025) • No Venue
  Amini et al.
• On The Limitations Of Vision-language Models In Understanding Image Transforms (2025) • No Venue
  Ahmad Mustafa Anis, Hasnain Ali, Saquib Sarfraz
• Surfer 2: The Next Generation Of Cross-platform Computer Use Agents (2025) • No Venue
  Andreux et al.
• DASH: Detection And Assessment Of Systematic Hallucinations Of Vlms (2025) • No Venue
  Maximilian Augustin, Yannic Neuhaus, Matthias Hein
• Cadrille: Multi-modal CAD Reconstruction With Online Reinforcement Learning (2025) • No Venue
  Kolodiazhnyi et al.
• Qwen3-vl Technical Report (2025) • No Venue
  Bai et al.
• Qwen2.5-vl Technical Report (2025) • No Venue
  Bai et al.
• Honeybee: Data Recipes For Vision-language Reasoners (2025) • No Venue
  Bansal et al.
• Spatialthinker: Reinforcing 3D Reasoning In Multimodal Llms Via Spatial Rewards (2025) • No Venue
  Batra et al.
• NOVA: A Benchmark For Anomaly Localization And Clinical Reasoning In Brain MRI (2025) • No Venue
  Bercea et al.
• Why Reasoning Matters? A Survey Of Advancements In Multimodal Reasoning (v1) (2025) • No Venue
  Bi et al.
• VERIFY: A Benchmark Of Visual Explanation And Reasoning For Investigating Multimodal Reasoning Fidelity (2025) • No Venue
  Bi et al.
• Perception Encoder: The Best Visual Embeddings Are Not At The Output Of The Network (2025) • No Venue
  Bolya et al.
• Enhancing Vision-language Model Training With Reinforcement Learning In Synthetic Worlds For Real-world Success (2025) • No Venue
  Bredis et al.
• CASA: Cross-attention Via Self-attention For Efficient Vision-language Fusion (2025) • No Venue
  Böhle et al.
• Microvqa: A Multimodal Reasoning Benchmark For Microscopy-based Scientific Research (2025) • No Venue
  Burgess et al.
• Crowdsource, Crawl, Or Generate? Creating SEA-VL, A Multicultural Vision-language Dataset For Southeast Asia (2025) • No Venue
  Cahyawijaya et al.
• MORSE-500: A Programmatically Controllable Video Benchmark To Stress-test Multimodal Reasoning (2025) • No Venue
  Cai et al.
• Phygdpo: Physics-aware Groupwise Direct Preference Optimization For Physically Consistent Text-to-video Generation (2025) • No Venue
  Cai et al.
• Compose Your Policies! Improving Diffusion-based Or Flow-based Robot Policies Via Test-time Distribution-level Composition (2025) • No Venue
  Cao et al.
• Unipercept: Towards Unified Perceptual-level Image Understanding Across Aesthetics, Quality, Structure, And Texture (2025) • No Venue
  Cao et al.
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  Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou
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• Show-o2: Improved Native Unified Multimodal Models (2025) • No Venue
  Jinheng Xie, Zhenheng Yang, Mike Zheng Shou
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• Mpbench: A Comprehensive Multimodal Reasoning Benchmark For Process Errors Identification (2025) • No Venue
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• MARS2 2025 Challenge On Multimodal Reasoning: Datasets, Methods, Results, Discussion, And Outlook (2025) • No Venue
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• Benchmarking Multimodal Mathematical Reasoning With Explicit Visual Dependency (2025) • No Venue
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• Grasp Any Region: Towards Precise, Contextual Pixel Understanding For Multimodal Llms (2025) • No Venue
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• Gtr-cot: Graph Traversal As Visual Chain Of Thought For Molecular Structure Recognition (2025) • No Venue
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• Internvl3.5: Advancing Open-source Multimodal Models In Versatility, Reasoning, And Efficiency (2025) • No Venue
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• N3D-VLM: Native 3D Grounding Enables Accurate Spatial Reasoning In Vision-language Models (2025) • No Venue
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• Streambridge: Turning Your Offline Video Large Language Model Into A Proactive Streaming Assistant (2025) • No Venue
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• Think Or Not? Selective Reasoning Via Reinforcement Learning For Vision-language Models (2025) • No Venue
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• Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation And Methodology (2025) • No Venue
  Wang et al.
• Visuothink: Empowering LVLM Reasoning With Multimodal Tree Search (2025) • No Venue
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• Video Reality Test: Can Ai-generated ASMR Videos Fool Vlms And Humans? (2025) • No Venue
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• Visualsimpleqa: A Benchmark For Decoupled Evaluation Of Large Vision-language Models In Fact-seeking Question Answering (2025) • No Venue
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• Visualprm: An Effective Process Reward Model For Multimodal Reasoning (2025) • No Venue
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• Wait, We Don't Need To "wait"! Removing Thinking Tokens Improves Reasoning Efficiency (2025) • No Venue
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• Vla-adapter: An Effective Paradigm For Tiny-scale Vision-language-action Model (2025) • No Venue
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• World Modeling Makes A Better Planner: Dual Preference Optimization For Embodied Task Planning (2025) • No Venue
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• QARI-OCR: High-fidelity Arabic Text Recognition Through Multimodal Large Language Model Adaptation (2025) • No Venue
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• Advancing Multimodal Reasoning Via Reinforcement Learning With Cold Start (2025) • No Venue
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  Haoran Wei, Yaofeng Sun, Yukun Li
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• LMM-R1: Empowering 3B Lmms With Strong Reasoning Abilities Through Two-stage Rule-based RL (2025) • No Venue
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• Skywork R1V: Pioneering Multimodal Reasoning With Chain-of-thought (2025) • No Venue
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  Jake Poznanski, Luca Soldaini, Kyle Lo
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• Vcr-bench: A Comprehensive Evaluation Framework For Video Chain-of-thought Reasoning (2025) • No Venue
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• V-thinker: Interactive Thinking With Images (2025) • No Venue
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• Flageval Findings Report: A Preliminary Evaluation Of Large Reasoning Models On Automatically Verifiable Textual And Visual Questions (2025) • No Venue
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• Thinking Beyond Tokens: From Brain-inspired Intelligence To Cognitive Foundations For Artificial General Intelligence And Its Societal Impact (2025) • No Venue
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  Aadarsh Sahoo, Vansh Tibrewal, Georgia Gkioxari
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  Benjamin Schneider, Florian Kerschbaum, Wenhu Chen
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• Expertise Need Not Monopolize: Action-specialized Mixture Of Experts For Vision-language-action Learning (2025) • No Venue
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• Fine-grained Preference Optimization Improves Spatial Reasoning In Vlms (2025) • No Venue
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• Vision Language Models Are Biased (2025) • No Venue
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• Time Blindness: Why Video-language Models Can't See What Humans Can? (2025) • No Venue
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• Thinking With Images For Multimodal Reasoning: Foundations, Methods, And Future Frontiers (2025) • No Venue
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• Latent Chain-of-thought For Visual Reasoning (2025) • No Venue
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• Transformer^2: Self-adaptive Llms (2025) • No Venue
  Qi Sun, Edoardo Cetin, Yujin Tang
• Beyond Memorization: A Multi-modal Ordinal Regression Benchmark To Expose Popularity Bias In Vision-language Models (2025) • No Venue
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  Taesiri et al.
• Lumine: An Open Recipe For Building Generalist Agents In 3D Open Worlds (2025) • No Venue
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• Chartmuseum: Testing Visual Reasoning Capabilities Of Large Vision-language Models (2025) • No Venue
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• Lego-puzzles: How Good Are Mllms At Multi-step Spatial Reasoning? (2025) • No Venue
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• Video-r4: Reinforcing Text-rich Video Reasoning With Visual Rumination (2025) • No Venue
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• TULIP: Towards Unified Language-image Pretraining (2025) • No Venue
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• Visual Programmability: A Guide For Code-as-thought In Chart Understanding (2025) • No Venue
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• Infinitevl: Synergizing Linear And Sparse Attention For Highly-efficient, Unlimited-input Vision-language Models (2025) • No Venue
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  Tu et al.
• Robobrain 2.0 Technical Report (2025) • No Venue
  Team et al.
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  Team et al.
• Cube: A Roblox View Of 3D Intelligence (2025) • No Venue
  Team et al.
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  Team et al.
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  Team et al.
• Gigabrain-0: A World Model-powered Vision-language-action Model (2025) • No Venue
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• PAN: A World Model For General, Interactable, And Long-horizon World Simulation (2025) • No Venue
  Team et al.
• Kwai Keye-vl Technical Report (2025) • No Venue
  Team et al.
• Lingshu: A Generalist Foundation Model For Unified Multimodal Medical Understanding And Reasoning (2025) • No Venue
  Team et al.
• Modernvbert: Towards Smaller Visual Document Retrievers (2025) • No Venue
  Teiletche et al.
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  Thomas et al.
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• More Thought, Less Accuracy? On The Dual Nature Of Reasoning In Vision-language Models (2025) • No Venue
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• Thinking With Video: Video Generation As A Promising Multimodal Reasoning Paradigm (2025) • No Venue
  Tong et al.
• Siglip 2: Multilingual Vision-language Encoders With Improved Semantic Understanding, Localization, And Dense Features (2025) • No Venue
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• Llmvox: Autoregressive Streaming Text-to-speech Model For Any LLM (2025) • No Venue
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• TTRV: Test-time Reinforcement Learning For Vision Language Models (2025) • No Venue
  Singh et al.
• From Head To Tail: Towards Balanced Representation In Large Vision-language Models Through Adaptive Data Calibration (2025) • No Venue
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• Visualpuzzles: Decoupling Multimodal Reasoning Evaluation From Domain Knowledge (2025) • No Venue
  Song et al.
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• Openthinkimg: Learning To Think With Images Via Visual Tool Reinforcement Learning (2025) • No Venue
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• Sensenova-mars: Empowering Multimodal Agentic Reasoning And Search Via Reinforcement Learning (2025) • No Venue
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• Perceptionlm: Open-access Data And Models For Detailed Visual Understanding (2025) • No Venue
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• Instruction-guided Lesion Segmentation For Chest X-rays With Automatically Generated Large-scale Dataset (2025) • No Venue
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• WEAVE: Unleashing And Benchmarking The In-context Interleaved Comprehension And Generation (2025) • No Venue
  Chow et al.
• Physbench: Benchmarking And Enhancing Vision-language Models For Physical World Understanding (2025) • No Venue
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• Metaclip 2: A Worldwide Scaling Recipe (2025) • No Venue
  Chuang et al.
• Don't Look Only Once: Towards Multimodal Interactive Reasoning With Selective Visual Revisitation (2025) • No Venue
  Chung et al.
• MMR-V: What's Left Unsaid? A Benchmark For Multimodal Deep Reasoning In Videos (2025) • No Venue
  Zhu et al.
• Emu3.5: Native Multimodal Models Are World Learners (2025) • No Venue
  Cui et al.
• Paddleocr-vl: Boosting Multilingual Document Parsing Via A 0.9B Ultra-compact Vision-language Model (2025) • No Venue
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• Robusto-1 Dataset: Comparing Humans And Vlms On Real Out-of-distribution Autonomous Driving VQA From Peru (2025) • No Venue
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• Rynnec: Bringing Mllms Into Embodied World (2025) • No Venue
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• Aya Vision: Advancing The Frontier Of Multilingual Multimodality (2025) • No Venue
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• Left|,circlearrowright,text{bus},right|: A Large And Diverse Multimodal Benchmark For Evaluating The Ability Of Vision-language Models To Understand Rebus Puzzles (2025) • No Venue
  Das et al.
• Emerging Properties In Unified Multimodal Pretraining (2025) • No Venue
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• Openvlthinker: An Early Exploration To Complex Vision-language Reasoning Via Iterative Self-improvement (2025) • No Venue
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• Visual Chronicles: Using Multimodal Llms To Analyze Massive Collections Of Images (2025) • No Venue
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• From Pixels To Words -- Towards Native Vision-language Primitives At Scale (2025) • No Venue
  Diao et al.
• Evev2: Improved Baselines For Encoder-free Vision-language Models (2025) • No Venue
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• Arm-thinker: Reinforcing Multimodal Generative Reward Models With Agentic Tool Use And Visual Reasoning (2025) • No Venue
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• Sherlock: Self-correcting Reasoning In Vision-language Models (2025) • No Venue
  Yi Ding, Ruqi Zhang
• Adapting Vision-language Models Without Labels: A Comprehensive Survey (2025) • No Venue
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• Mmtok: Multimodal Coverage Maximization For Efficient Inference Of Vlms (2025) • No Venue
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• Adamms: Model Merging For Heterogeneous Multimodal Large Language Models With Unsupervised Coefficient Optimization (2025) • No Venue
  Du et al.
• MM-PRM: Enhancing Multimodal Mathematical Reasoning With Scalable Step-level Supervision (2025) • No Venue
  Du et al.
• Unimmvsr: A Unified Multi-modal Framework For Cascaded Video Super-resolution (2025) • No Venue
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• Codeplot-cot: Mathematical Visual Reasoning By Thinking With Code-driven Images (2025) • No Venue
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• Mind-the-glitch: Visual Correspondence For Detecting Inconsistencies In Subject-driven Generation (2025) • No Venue
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• GRIT: Teaching Mllms To Think With Images (2025) • No Venue
  Fan et al.
• V-REX: Benchmarking Exploratory Visual Reasoning Via Chain-of-questions (2025) • No Venue
  Fan et al.
• WMPO: World Model-based Policy Optimization For Vision-language-action Models (2025) • No Venue
  Zhu et al.
• Dualvla: Building A Generalizable Embodied Agent Via Partial Decoupling Of Reasoning And Action (2025) • No Venue
  Fang et al.
• Flux-reason-6m & Prism-bench: A Million-scale Text-to-image Reasoning Dataset And Comprehensive Benchmark (2025) • No Venue
  Fang et al.
• Robix: A Unified Model For Robot Interaction, Reasoning And Planning (2025) • No Venue
  Fang et al.
• Libero-plus: In-depth Robustness Analysis Of Vision-language-action Models (2025) • No Venue
  Fei et al.
• SRPO: Self-referential Policy Optimization For Vision-language-action Models (2025) • No Venue
  Fei et al.
• Visualsphinx: Large-scale Synthetic Vision Logic Puzzles For RL (2025) • No Venue
  Feng et al.
• Reflective Planning: Vision-language Models For Multi-stage Long-horizon Robotic Manipulation (2025) • No Venue
  Feng et al.
• Onethinker: All-in-one Reasoning Model For Image And Video (2025) • No Venue
  Feng et al.
• Spatial-aware VLA Pretraining Through Visual-physical Alignment From Human Videos (2025) • No Venue
  Feng et al.
• Rewardmap: Tackling Sparse Rewards In Fine-grained Visual Reasoning Via Multi-stage Reinforcement Learning (2025) • No Venue
  Feng et al.
• MARVIS: Modality Adaptive Reasoning Over Visualizations (2025) • No Venue
  Feuer et al.
• Mano Report (2025) • No Venue
  Fu et al.
• VITA-1.5: Towards Gpt-4o Level Real-time Vision And Speech Interaction (2025) • No Venue
  Fu et al.
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  Gambashidze et al.
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  Garibi et al.
• Visualoverload: Probing Visual Understanding Of Vlms In Really Dense Scenes (2025) • No Venue
  Gavrikov et al.
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  Geigle et al.
• Focusing By Contrastive Attention: Enhancing Vlms' Visual Reasoning (2025) • No Venue
  Ge et al.
• Webwatcher: Breaking New Frontier Of Vision-language Deep Research Agent (2025) • No Venue
  Geng et al.
• Spatial Reasoning With Vision-language Models In Ego-centric Multi-view Scenes (2025) • No Venue
  Gholami et al.
• Onereward: Unified Mask-guided Image Generation Via Multi-task Human Preference Learning (2025) • No Venue
  Gong et al.
• VLA-0: Building State-of-the-art Vlas With Zero Modification (2025) • No Venue
  Goyal et al.
• Thinkmorph: Emergent Properties In Multimodal Interleaved Chain-of-thought Reasoning (2025) • No Venue
  Gu et al.
• Realsyn: An Effective And Scalable Multimodal Interleaved Document Transformation Paradigm (2025) • No Venue
  Gu et al.
• Breaking The Modality Barrier: Universal Embedding Learning With Multimodal Llms (2025) • No Venue
  Gu et al.
• Visual Generation Tuning (2025) • No Venue
  Guo et al.
• Seed1.5-vl Technical Report (2025) • No Venue
  Guo et al.
• Costaast: Cost-sensitive Toolpath Agent For Multi-turn Image Editing (2025) • No Venue
  Gupta et al.
• Better Together: Leveraging Unpaired Multimodal Data For Stronger Unimodal Models (2025) • No Venue
  Gupta et al.
• Wasm: A Pipeline For Constructing Structured Arabic Interleaved Multimodal Corpora (2025) • No Venue
  Hennara et al.
• Beyond Recognition: Evaluating Visual Perspective Taking In Vision Language Models (2025) • No Venue
  Góral et al.
• Mdocagent: A Multi-modal Multi-agent Framework For Document Understanding (2025) • No Venue
  Han et al.
• TV2TV: A Unified Framework For Interleaved Language And Video Generation (2025) • No Venue
  Han et al.
• Few Tokens Matter: Entropy Guided Attacks On Vision-language Models (2025) • No Venue
  He et al.
• Diffthinker: Towards Generative Multimodal Reasoning With Diffusion Models (2025) • No Venue
  He et al.
• Flowtok: Flowing Seamlessly Across Text And Image Tokens (2025) • No Venue
  He et al.
• Surgworld: Learning Surgical Robot Policies From Videos Via World Modeling (2025) • No Venue
  He et al.
• Baseer: A Vision-language Model For Arabic Document-to-markdown OCR (2025) • No Venue
  Hennara et al.
• Visplay: Self-evolving Vision-language Models From Images (2025) • No Venue
  He et al.
• AIN: The Arabic Inclusive Large Multimodal Model (2025) • No Venue
  Heakl et al.
• Deepeyesv2: Toward Agentic Multimodal Model (2025) • No Venue
  Hong et al.
• Omni-rgpt: Unifying Image And Video Region-level Understanding Via Token Marks (2025) • No Venue
  Heo et al.
• Motionbench: Benchmarking And Improving Fine-grained Video Motion Understanding For Vision Language Models (2025) • No Venue
  Hong et al.
• Glm-4.1v-thinking: Towards Versatile Multimodal Reasoning With Scalable Reinforcement Learning (2025) • No Venue
  Hong et al.
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  Hou et al.
• Is Extending Modality The Right Path Towards Omni-modality? (2025) • No Venue
  Zhu et al.
• Groundingsuite: Measuring Complex Multi-granular Pixel Grounding (2025) • No Venue
  Hu et al.
• Decoupled Global-local Alignment For Improving Compositional Understanding (2025) • No Venue
  Hu et al.
• Image Editing As Programs With Diffusion Models (2025) • No Venue
  Hu et al.
• Multimodal Rewardbench 2: Evaluating Omni Reward Models For Interleaved Text And Image (2025) • No Venue
  Hu et al.
• Proclip: Progressive Vision-language Alignment Via Llm-based Embedder (2025) • No Venue
  Hu et al.
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  Hu et al.
• Vision-language-action Models For Autonomous Driving: Past, Present, And Future (2025) • No Venue
  Hu et al.
• Vision-r1: Incentivizing Reasoning Capability In Multimodal Large Language Models (2025) • No Venue
  Huang et al.
• 3D-R1: Enhancing Reasoning In 3D Vlms For Unified Scene Understanding (2025) • No Venue
  Ting Huang, Zeyu Zhang, Hao Tang
• Directional Reasoning Injection For Fine-tuning Mllms (2025) • No Venue
  Huang et al.
• Ming-univision: Joint Image Understanding And Generation With A Unified Continuous Tokenizer (2025) • No Venue
  Huang et al.
• ILLUME+: Illuminating Unified MLLM With Dual Visual Tokenization And Diffusion Refinement (2025) • No Venue
  Huang et al.
• On The Trustworthiness Of Generative Foundation Models: Guideline, Assessment, And Perspective (2025) • No Venue
  Huang et al.
• Spotlight On Token Perception For Multimodal Reinforcement Learning (2025) • No Venue
  Huang et al.
• Revisiting Multimodal Positional Encoding In Vision-language Models (2025) • No Venue
  Huang et al.
• Thinkact: Vision-language-action Reasoning Via Reinforced Visual Latent Planning (2025) • No Venue
  Huang et al.
• Collm: A Large Language Model For Composed Image Retrieval (2025) • No Venue
  Huynh et al.
• Lego-eval: Towards Fine-grained Evaluation On Synthesizing 3D Embodied Environments With Tool Augmentation (2025) • No Venue
  Hwangbo et al.
• Puzzle Curriculum GRPO For Vision-centric Reasoning (2025) • No Venue
  Jeddi et al.
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  Jeon et al.
• Robotracer: Mastering Spatial Trace With Reasoning In Vision-language Models For Robotics (2025) • No Venue
  Zhou et al.
• From Denoising To Refining: A Corrective Framework For Vision-language Diffusion Model (2025) • No Venue
  Ji et al.
• Omnispatial: Towards Comprehensive Spatial Reasoning Benchmark For Vision Language Models (2025) • No Venue
  Jia et al.
• Visualwebinstruct: Scaling Up Multimodal Instruction Data Through Web Search (2025) • No Venue
  Jia et al.
• CSVQA: A Chinese Multimodal Benchmark For Evaluating STEM Reasoning Capabilities Of Vlms (2025) • No Venue
  Jian et al.
• A Survey On Vision-language-action Models For Autonomous Driving (2025) • No Venue
  Jiang et al.
• Alphadrive: Unleashing The Power Of Vlms In Autonomous Driving Via Reinforcement Learning And Reasoning (2025) • No Venue
  Jiang et al.
• MARBLE: A Hard Benchmark For Multimodal Spatial Reasoning And Planning (2025) • No Venue
  Jiang et al.
• Rynnvla-001: Using Human Demonstrations To Improve Robot Manipulation (2025) • No Venue
  Jiang et al.
• Omnihuman-1.5: Instilling An Active Mind In Avatars Via Cognitive Simulation (2025) • No Venue
  Jiang et al.
• Mme-cot: Benchmarking Chain-of-thought In Large Multimodal Models For Reasoning Quality, Robustness, And Efficiency (2025) • No Venue
  Jiang et al.
• Screencoder: Advancing Visual-to-code Generation For Front-end Automation Via Modular Multimodal Agents (2025) • No Venue
  Jiang et al.
• Free-form Language-based Robotic Reasoning And Grasping (2025) • No Venue
  Jiao et al.
• Mergemix: A Unified Augmentation Paradigm For Visual And Multi-modal Understanding (2025) • No Venue
  Jin et al.
• SRUM: Fine-grained Self-rewarding For Unified Multimodal Models (2025) • No Venue
  Jin et al.
• Mixture Of Horizons In Action Chunking (2025) • No Venue
  Jing et al.
• Don't Blind Your VLA: Aligning Visual Representations For OOD Generalization (2025) • No Venue
  Kachaev et al.
• Simple Semi-supervised Knowledge Distillation From Vision-language Models Via Texttt{d}ual-texttt{h}ead Texttt{o}ptimization (2025) • No Venue
  Kang et al.
• Pcoreset: Effective Active Learning Through Knowledge Distillation From Vision-language Models (2025) • No Venue
  Kang et al.
• VIKI-R: Coordinating Embodied Multi-agent Cooperation Via Reinforcement Learning (2025) • No Venue
  Kang et al.
• Éclair -- Extracting Content And Layout With Integrated Reading Order For Documents (2025) • No Venue
  Karmanov et al.
• Efficient Test-time Scaling For Small Vision-language Models (2025) • No Venue
  Mehmet Onurcan Kaya, Desmond Elliott, Dim P. Papadopoulos
• Map The Flow: Revealing Hidden Pathways Of Information In Videollms (2025) • No Venue
  Minji Kim, Taekyung Kim, Bohyung Han
• Distillm-2: A Contrastive Approach Boosts The Distillation Of Llms (2025) • No Venue
  Ko et al.
• MMPB: It's Time For Multi-modal Personalization (2025) • No Venue
  Kim et al.
• Robot-r1: Reinforcement Learning For Enhanced Embodied Reasoning In Robotics (2025) • No Venue
  Kim et al.
• World In A Frame: Understanding Culture Mixing As A New Challenge For Vision-language Models (2025) • No Venue
  Kim et al.
• Toward Ambulatory Vision: Learning Visually-grounded Active View Selection (2025) • No Venue
  Koo et al.
• Jina-vlm: Small Multilingual Vision Language Model (2025) • No Venue
  Koukounas et al.
• Experience Is The Best Teacher: Grounding Vlms For Robotics Through Self-generated Memory (2025) • No Venue
  Lan et al.
• Perspective-aware Reasoning In Vision-language Models Via Mental Imagery Simulation (2025) • No Venue
  Lee et al.
• Efficient Llama-3.2-vision By Trimming Cross-attended Visual Features (2025) • No Venue
  Lee et al.
• Masking Teacher And Reinforcing Student For Distilling Vision-language Models (2025) • No Venue
  Byung-Kwan Lee, Yu-Chiang Frank Wang, Ryo Hachiuma
• Genrecal: Generation After Recalibration From Large To Small Vision-language Models (2025) • No Venue
  Lee et al.
• Unified Reinforcement And Imitation Learning For Vision-language Models (2025) • No Venue
  Lee et al.
• The Scalability Of Simplicity: Empirical Analysis Of Vision-language Learning With A Single Transformer (2025) • No Venue
  Lei et al.
• Bindweave: Subject-consistent Video Generation Via Cross-modal Integration (2025) • No Venue
  Li et al.
• Bridgevla: Input-output Alignment For Efficient 3D Manipulation Learning With Vision-language Models (2025) • No Venue
  Li et al.
• From Macro To Micro: Benchmarking Microscopic Spatial Intelligence On Molecules Via Vision-language Models (2025) • No Venue
  Li et al.
• Dualthor: A Dual-arm Humanoid Simulation Platform For Contingency-aware Planning (2025) • No Venue
  Li et al.
• Enhancing Abnormality Grounding For Vision Language Models With Knowledge Descriptions (2025) • No Venue
  Li et al.
• Lavida-o: Elastic Large Masked Diffusion Models For Unified Multimodal Understanding And Generation (2025) • No Venue
  Li et al.
• JARVIS-VLA: Post-training Large-scale Vision Language Models To Play Visual Games With Keyboards And Mouse (2025) • No Venue
  Li et al.
• Insight-o3: Empowering Multimodal Foundation Models With Generalized Visual Search (2025) • No Venue
  Li et al.
• MANZANO: A Simple And Scalable Unified Multimodal Model With A Hybrid Vision Tokenizer (2025) • No Venue
  Li et al.
• Optimus-3: Towards Generalist Multimodal Minecraft Agents With Scalable Task Experts (2025) • No Venue
  Li et al.
• Mm-browsecomp: A Comprehensive Benchmark For Multimodal Browsing Agents (2025) • No Venue
  Li et al.
• Revseg: Incentivizing The Reasoning Chain For Video Segmentation With Reinforcement Learning (2025) • No Venue
  Li et al.
• Viewspatial-bench: Evaluating Multi-perspective Spatial Localization In Vision-language Models (2025) • No Venue
  Li et al.
• Simplevla-rl: Scaling VLA Training Via Reinforcement Learning (2025) • No Venue
  Li et al.
• Self-rewarding Vision-language Model Via Reasoning Decomposition (2025) • No Venue
  Li et al.
• Spatial Forcing: Implicit Spatial Representation Alignment For Vision-language-action Model (2025) • No Venue
  Li et al.
• Sparse-lavida: Sparse Multimodal Discrete Diffusion Language Models (2025) • No Venue
  Li et al.
• Unifusion: Vision-language Model As Unified Encoder In Image Generation (2025) • No Venue
  Li et al.
• VLA-RFT: Vision-language-action Reinforcement Fine-tuning With Verified Rewards In World Simulators (2025) • No Venue
  Li et al.
• Zebra-cot: A Dataset For Interleaved Vision Language Reasoning (2025) • No Venue
  Li et al.
• Describe Anything: Detailed Localized Image And Video Captioning (2025) • No Venue
  Lian et al.
• Euclid's Gift: Enhancing Spatial Perception And Reasoning In Vision-language Models Via Geometric Surrogate Tasks (2025) • No Venue
  Lian et al.
• Thinking With Camera: A Unified Multimodal Model For Camera-centric Understanding And Generation (2025) • No Venue
  Liao et al.
• Modomodo: Multi-domain Data Mixtures For Multimodal LLM Reinforcement Learning (2025) • No Venue
  Liang et al.
• Discrete Diffusion VLA: Bringing Discrete Diffusion To Action Decoding In Vision-language-action Policies (2025) • No Venue
  Liang et al.
• Colorbench: Can Vlms See And Understand The Colorful World? A Comprehensive Benchmark For Color Perception, Reasoning, And Robustness (2025) • No Venue
  Liang et al.
• VOGUE: Guiding Exploration With Visual Uncertainty Improves Multimodal Reasoning (2025) • No Venue
  Liu et al.
• Uniworld: High-resolution Semantic Encoders For Unified Visual Understanding And Generation (2025) • No Venue
  Lin et al.
• URECA: Unique Region Caption Anything (2025) • No Venue
  Lim et al.
• Healthgpt: A Medical Large Vision-language Model For Unifying Comprehension And Generation Via Heterogeneous Knowledge Adaptation (2025) • No Venue
  Lin et al.
• Embrace-3k: Embodied Reasoning And Action In Complex Environments (2025) • No Venue
  Lin et al.
• Exploring Mllm-diffusion Information Transfer With Metacanvas (2025) • No Venue
  Lin et al.
• Hif-vla: Hindsight, Insight And Foresight Through Motion Representation For Vision-language-action Models (2025) • No Venue
  Lin et al.
• Physbrain: Human Egocentric Data As A Bridge From Vision Language Models To Physical Intelligence (2025) • No Venue
  Lin et al.
• Towards Understanding Camera Motions In Any Video (2025) • No Venue
  Lin et al.
• Sail-embedding Technical Report: Omni-modal Embedding Foundation Model (2025) • No Venue
  Lin et al.
• Self-improving VLM Judges Without Human Annotations (2025) • No Venue
  Lin et al.
• VITA-E: Natural Embodied Interaction With Concurrent Seeing, Hearing, Speaking, And Acting (2025) • No Venue
  Liu et al.
• Agent0-vl: Exploring Self-evolving Agent For Tool-integrated Vision-language Reasoning (2025) • No Venue
  Liu et al.
• Feature4x: Bridging Any Monocular Video To 4D Agentic AI With Versatile Gaussian Feature Fields (2025) • No Venue
  Zhou et al.
• Infecting Generative AI With Viruses (2025) • No Venue
  David Noever, Forrest McKee
• Mineru2.5: A Decoupled Vision-language Model For Efficient High-resolution Document Parsing (2025) • No Venue
  Niu et al.
• Learning To Reason In 4D: Dynamic Spatial Understanding For Vision Language Models (2025) • No Venue
  Zhou et al.
• Relational Visual Similarity (2025) • No Venue
  Nguyen et al.
• Oneflow: Concurrent Mixed-modal And Interleaved Generation With Edit Flows (2025) • No Venue
  Nguyen et al.
• Smoldocling: An Ultra-compact Vision-language Model For End-to-end Multi-modal Document Conversion (2025) • No Venue
  Nassar et al.
• I Think, Therefore I Diffuse: Enabling Multimodal In-context Reasoning In Diffusion Models (2025) • No Venue
  Mi et al.
• Mm-eureka: Exploring Visual Aha Moment With Rule-based Large-scale Reinforcement Learning (2025) • No Venue
  Meng et al.
• Viplan: A Benchmark For Visual Planning With Symbolic Predicates And Vision-language Models (2025) • No Venue
  Merler et al.
• X-fusion: Introducing New Modality To Frozen Large Language Models (2025) • No Venue
  Mo et al.
• Wildscore: Benchmarking Mllms In-the-wild Symbolic Music Reasoning (2025) • No Venue
  Mundada et al.
• Instructx: Towards Unified Visual Editing With MLLM Guidance (2025) • No Venue
  Mou et al.
• GUI-360: A Comprehensive Dataset And Benchmark For Computer-using Agents (2025) • No Venue
  Mu et al.
• Dreamvvt: Mastering Realistic Video Virtual Try-on In The Wild Via A Stage-wise Diffusion Transformer Framework (2025) • No Venue
  Zuo et al.
• R1-zero's "aha Moment" In Visual Reasoning On A 2B Non-sft Model (2025) • No Venue
  Zhou et al.
• Scientists' First Exam: Probing Cognitive Abilities Of MLLM Via Perception, Understanding, And Reasoning (2025) • No Venue
  Zhou et al.
• X-reasoner: Towards Generalizable Reasoning Across Modalities And Domains (2025) • No Venue
  Liu et al.
• Understanding Language Prior Of Lvlms By Contrasting Chain-of-embedding (2025) • No Venue
  Long et al.
• BIOMEDICA: An Open Biomedical Image-caption Archive, Dataset, And Vision-language Models Derived From Scientific Literature (2025) • No Venue
  Lozano et al.
• Roborefer: Towards Spatial Referring With Reasoning In Vision-language Models For Robotics (2025) • No Venue
  Zhou et al.
• Uniugp: Unifying Understanding, Generation, And Planing For End-to-end Autonomous Driving (2025) • No Venue
  Lu et al.
• Omnicaptioner: One Captioner To Rule Them All (2025) • No Venue
  Lu et al.
• Elv-halluc: Benchmarking Semantic Aggregation Hallucinations In Long Video Understanding (2025) • No Venue
  Lu et al.
• Ovis2.5 Technical Report (2025) • No Venue
  Lu et al.
• STEVE: Astep Verification Pipeline For Computer-use Agent Training (2025) • No Venue
  Lu et al.
• Being-h0: Vision-language-action Pretraining From Large-scale Human Videos (2025) • No Venue
  Luo et al.
• Open Captchaworld: A Comprehensive Web-based Platform For Testing And Benchmarking Multimodal LLM Agents (2025) • No Venue
  Luo et al.
• Openomni: Large Language Models Pivot Zero-shot Omnimodal Alignment Across Language With Real-time Self-aware Emotional Speech Synthesis (2025) • No Venue
  Luo et al.
• F1: A Vision-language-action Model Bridging Understanding And Generation To Actions (2025) • No Venue
  Lv et al.
• Rethinking Cross-modal Interaction In Multimodal Diffusion Transformers (2025) • No Venue
  Lv et al.
• Alignvlm: Bridging Vision And Language Latent Spaces For Multimodal Understanding (2025) • No Venue
  Masry et al.
• Smolvlm: Redefining Small And Efficient Multimodal Models (2025) • No Venue
  Marafioti et al.
• Spatiallm: Training Large Language Models For Structured Indoor Modeling (2025) • No Venue
  Mao et al.
• Chartqapro: A More Diverse And Challenging Benchmark For Chart Question Answering (2025) • No Venue
  Masry et al.
• Deepperception: Advancing R1-like Cognitive Visual Perception In Mllms For Knowledge-intensive Visual Grounding (2025) • No Venue
  Ma et al.
• Genhancer: Imperfect Generative Models Are Secretly Strong Vision-centric Enhancers (2025) • No Venue
  Ma et al.
• One RL To See Them All: Visual Triple Unified Reinforcement Learning (2025) • No Venue
  Ma et al.
• Discrete Diffusion Models With Mllms For Unified Medical Multimodal Generation (2025) • No Venue
  Mao et al.
• Sarchat-bench-2m: A Multi-task Vision-language Benchmark For SAR Image Interpretation (2025) • No Venue
  Ma et al.
• Step-video-t2v Technical Report: The Practice, Challenges, And Future Of Video Foundation Model (2025) • No Venue
  Ma et al.
• Drivepi: Spatial-aware 4D MLLM For Unified Autonomous Driving Understanding, Perception, Prediction And Planning (2025) • No Venue
  Liu et al.
• FUSION: Fully Integration Of Vision-language Representations For Deep Cross-modal Understanding (2025) • No Venue
  Liu et al.
• Javisgpt: A Unified Multi-modal LLM For Sounding-video Comprehension And Generation (2025) • No Venue
  Liu et al.
• Langscene-x: Reconstruct Generalizable 3D Language-embedded Scenes With Trimap Video Diffusion (2025) • No Venue
  Liu et al.
• Ola: Pushing The Frontiers Of Omni-modal Language Model With Progressive Modality Alignment (2025) • No Venue
  Liu et al.
• Noisyrollout: Reinforcing Visual Reasoning With Data Augmentation (2025) • No Venue
  Liu et al.
• Mixture Of States: Routing Token-level Dynamics For Multimodal Generation (2025) • No Venue
  Liu et al.
• More Thinking, Less Seeing? Assessing Amplified Hallucination In Multimodal Reasoning Models (2025) • No Venue
  Liu et al.
• Opensubject: Leveraging Video-derived Identity And Diversity Priors For Subject-driven Image Generation And Manipulation (2025) • No Venue
  Liu et al.
• Openvision 2: A Family Of Generative Pretrained Visual Encoders For Multimodal Learning (2025) • No Venue
  Liu et al.
• Visionreasoner: Unified Visual Perception And Reasoning Via Reinforcement Learning (2025) • No Venue
  Liu et al.
• Points-reader: Distillation-free Adaptation Of Vision-language Models For Document Conversion (2025) • No Venue
  Liu et al.
• Scalecua: Scaling Open-source Computer Use Agents With Cross-platform Data (2025) • No Venue
  Liu et al.
• Shotbench: Expert-level Cinematic Understanding In Vision-language Models (2025) • No Venue
  Liu et al.
• Spatial-ssrl: Enhancing Spatial Understanding Via Self-supervised Reinforcement Learning (2025) • No Venue
  Liu et al.
• SPARK: Synergistic Policy And Reward Co-evolving Framework (2025) • No Venue
  Liu et al.
• Taking Notes Brings Focus? Towards Multi-turn Multimodal Dialogue Learning (2025) • No Venue
  Liu et al.
• SSR: Enhancing Depth Perception In Vision-language Models Via Rationale-guided Spatial Reasoning (2025) • No Venue
  Liu et al.
• GLOV: Guided Large Language Models As Implicit Optimizers For Vision Language Models (2024) • No Venue
  Mirza et al.
• Videoglamm: A Large Multimodal Model For Pixel-level Visual Grounding In Videos (2024) • No Venue
  Munasinghe et al.
• MMIU: Multimodal Multi-image Understanding For Evaluating Large Vision-language Models (2024) • No Venue
  Meng et al.
• Bimedix2: Bio-medical Expert LMM For Diverse Medical Modalities (2024) • No Venue
  Mullappilly et al.
• Task Vectors Are Cross-modal (2024) • No Venue
  Grace Luo, Trevor Darrell, Amir Bar
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  Luo et al.
• Feast Your Eyes: Mixture-of-resolution Adaptation For Multimodal Large Language Models (2024) • No Venue
  Luo et al.
• Unsolvable Problem Detection: Evaluating Trustworthiness Of Vision Language Models (2024) • No Venue
  Miyai et al.
• Yesbut: A High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models (2024) • No Venue
  Nandy et al.
• PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge For Vlms (2024) • No Venue
  Nasiriany et al.
• Wildvision: Evaluating Vision-language Models In The Wild With Human Preferences (2024) • No Venue
  Lu et al.
• Omniparser For Pure Vision Based GUI Agent (2024) • No Venue
  Lu et al.
• Deepseek-vl: Towards Real-world Vision-language Understanding (2024) • No Venue
  Lu et al.
• Revisit Large-scale Image-caption Data In Pre-training Multimodal Foundation Models (2024) • No Venue
  Lai et al.
• Janusflow: Harmonizing Autoregression And Rectified Flow For Unified Multimodal Understanding And Generation (2024) • No Venue
  Ma et al.
• DOCCI: Descriptions Of Connected And Contrasting Images (2024) • No Venue
  Onoe et al.
• PALO: A Polyglot Large Multimodal Model For 5B People (2024) • No Venue
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• Towards World Simulator: Crafting Physical Commonsense-based Benchmark For Video Generation (2024) • No Venue
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• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
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• Worldcuisines: A Massive-scale Benchmark For Multilingual And Multicultural Visual Question Answering On Global Cuisines (2024) • No Venue
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• World Model On Million-length Video And Language With Ringattention (2024) • No Venue
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• BALROG: Benchmarking Agentic LLM And VLM Reasoning On Games (2024) • No Venue
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• POINTS: Improving Your Vision-language Model With Affordable Strategies (2024) • No Venue
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• Oryx MLLM: On-demand Spatial-temporal Understanding At Arbitrary Resolution (2024) • No Venue
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• MMDU: A Multi-turn Multi-image Dialog Understanding Benchmark And Instruction-tuning Dataset For Lvlms (2024) • No Venue
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• Harnessing Webpage Uis For Text-rich Visual Understanding (2024) • No Venue
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• Glyph-byt5-v2: A Strong Aesthetic Baseline For Accurate Multilingual Visual Text Rendering (2024) • No Venue
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• Efficient Inference Of Vision Instruction-following Models With Elastic Cache (2024) • No Venue
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• Dynamem: Online Dynamic Spatio-semantic Memory For Open World Mobile Manipulation (2024) • No Venue
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  Liu et al.
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• Discriminative Fine-tuning Of Lvlms (2024) • No Venue
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• What Matters When Building Vision-language Models? (2024) • No Venue
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  Hugo Laurençon, Léo Tronchon, Victor Sanh
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• Moai: Mixture Of All Intelligence For Large Language And Vision Models (2024) • No Venue
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• Phantom Of Latent For Large Language And Vision Models (2024) • No Venue
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• Detecting And Mitigating Hallucination In Large Vision Language Models Via Fine-grained AI Feedback (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
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• Trol: Traversal Of Layers For Large Language And Vision Models (2024) • No Venue
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• Xgen-videosyn-1: High-fidelity Text-to-video Synthesis With Compressed Representations (2024) • No Venue
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• Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models (2024) • No Venue
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• Visionzip: Longer Is Better But Not Necessary In Vision Language Models (2024) • No Venue
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• Prism: A Framework For Decoupling And Assessing The Capabilities Of Vlms (2024) • No Venue
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• MMIE: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-language Models (2024) • No Venue
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• Densefusion-1m: Merging Vision Experts For Comprehensive Multimodal Perception (2024) • No Venue
  Li et al.
• GMAI-VL & GMAI-VL-5.5M: A Large Vision-language Model And A Comprehensive Multimodal Dataset Towards General Medical AI (2024) • No Venue
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• Lscenellm: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences (2024) • No Venue
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• Diffusion Augmented Agents: A Framework For Efficient Exploration And Transfer Learning (2024) • No Venue
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• Llamo: Large Language Model-based Molecular Graph Assistant (2024) • No Venue
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• Llava-3d: A Simple Yet Effective Pathway To Empowering Lmms With 3d-awareness (2024) • No Venue
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• Diffsensei: Bridging Multi-modal Llms And Diffusion Models For Customized Manga Generation (2024) • No Venue
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• AUTOHALLUSION: Automatic Generation Of Hallucination Benchmarks For Vision-language Models (2024) • No Venue
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• Dreamhoi: Subject-driven Generation Of 3D Human-object Interactions With Diffusion Priors (2024) • No Venue
  Thomas Hanwen Zhu, Ruining Li, Tomas Jakab
• Compositional 3d-aware Video Generation With LLM Director (2024) • No Venue
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• Taiyi-diffusion-xl: Advancing Bilingual Text-to-image Generation With Large Vision-language Model Support (2024) • No Venue
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• RULE: Reliable Multimodal RAG For Factuality In Medical Vision Language Models (2024) • No Venue
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• Logical Closed Loop: Uncovering Object Hallucinations In Large Vision-language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Wu et al.
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  Wu et al.
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• Visual Context Window Extension: A New Perspective For Long Video Understanding (2024) • No Venue
  Hongchen Wei, Zhenzhong Chen
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• LAION-SG: An Enhanced Large-scale Dataset For Training Complex Image-text Models With Structural Annotations (2024) • No Venue
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• Mini-gemini: Mining The Potential Of Multi-modality Vision Language Models (2024) • No Venue
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• Naturalbench: Evaluating Vision-language Models On Natural Adversarial Samples (2024) • No Venue
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• Omnibench: Towards The Future Of Universal Omni-language Models (2024) • No Venue
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• Temporal Reasoning Transfer From Text To Video (2024) • No Venue
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• Unipose: A Unified Multimodal Framework For Human Pose Comprehension, Generation And Editing (2024) • No Venue
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• Unbounded: A Generative Infinite Game Of Character Life Simulation (2024) • No Venue
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• UNIMO-G: Unified Image Generation Through Multimodal Conditional Diffusion (2024) • No Venue
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• Wolf: Captioning Everything With A World Summarization Framework (2024) • No Venue
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• Vlrewardbench: A Challenging Benchmark For Vision-language Generative Reward Models (2024) • No Venue
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• What If We Recaption Billions Of Web Images With Llama-3? (2024) • No Venue
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• COAT: Compressing Optimizer States And Activation For Memory-efficient FP8 Training (2024) • No Venue
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• Vmix: Improving Text-to-image Diffusion Model With Cross-attention Mixing Control (2024) • No Venue
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• Griffon V2: Advancing Multimodal Perception With High-resolution Scaling And Visual-language Co-referring (2024) • No Venue
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• Multimodal Self-instruct: Synthetic Abstract Image And Visual Reasoning Instruction Using Language Model (2024) • No Venue
  Zhang et al.
• Omg-llava: Bridging Image-level, Object-level, Pixel-level Reasoning And Understanding (2024) • No Venue
  Zhang et al.
• OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation (2024) • No Venue
  Zhang et al.
• Visfocus: Prompt-guided Vision Encoders For Ocr-free Dense Document Understanding (2024) • No Venue
  Abramovich et al.
• Pixtral 12B (2024) • No Venue
  Agrawal et al.
• Autort: Embodied Foundation Models For Large Scale Orchestration Of Robotic Agents (2024) • No Venue
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• 3dgraphllm: Combining Semantic Graphs And Large Language Models For 3D Scene Understanding (2024) • No Venue
  Tatiana Zemskova, Dmitry Yudin
• Unibench: Visual Reasoning Requires Rethinking Vision-language Beyond Scaling (2024) • No Venue
  Al-Tahan et al.
• Maya: An Instruction Finetuned Multilingual Multimodal Model (2024) • No Venue
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• Myvlm: Personalizing Vlms For User-specific Queries (2024) • No Venue
  Alaluf et al.
• Llana: Large Language And Nerf Assistant (2024) • No Venue
  Amaduzzi et al.
• Dilightnet: Fine-grained Lighting Control For Diffusion-based Image Generation (2024) • No Venue
  Zeng et al.
• Less Is More: Mitigating Multimodal Hallucination From An EOS Decision Perspective (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Zihao Yue, Liang Zhang, Qin Jin
• MAVIS: Mathematical Visual Instruction Tuning (2024) • No Venue
  Zhang et al.
• Hired: Attention-guided Token Dropping For Efficient Inference Of High-resolution Vision-language Models In Resource-constrained Environments (2024) • No Venue
  Arif et al.
• BLIP3-KALE: Knowledge Augmented Large-scale Dense Captions (2024) • No Venue
  Awadalla et al.
• ITACLIP: Boosting Training-free Semantic Segmentation With Image, Text, And Architectural Enhancements (2024) • No Venue
  Aydın et al.
• Deer-vla: Dynamic Inference Of Multimodal Large Language Models For Efficient Robot Execution (2024) • No Venue
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• Screenai: A Vision-language Model For UI And Infographics Understanding (2024) • No Venue
  Baechler et al.
• Digirl: Training In-the-wild Device-control Agents With Autonomous Reinforcement Learning (2024) • No Venue
  Bai et al.
• Let's Go Shopping (LGS) -- Web-scale Image-text Dataset For Visual Concept Understanding (2024) • No Venue
  Bai et al.
• From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning (2024) • No Venue
  Bai et al.
• Knowledge Transfer Across Modalities With Natural Language Supervision (2024) • No Venue
  Barbano et al.
• Lumiere: A Space-time Diffusion Model For Video Generation (2024) • No Venue
  Bar-Tal et al.
• Explore The Limits Of Omni-modal Pretraining At Scale (2024) • No Venue
  Zhang et al.
• MUMU: Bootstrapping Multimodal Image Generation From Text-to-image Data (2024) • No Venue
  William Berman, Alexander Peysakhovich
• Paligemma: A Versatile 3B VLM For Transfer (2024) • No Venue
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• Improving Fine-grained Understanding In Image-text Pre-training (2024) • No Venue
  Bica et al.
• GRAPE: Generalizing Robot Policy Via Preference Alignment (2024) • No Venue
  Zhang et al.
• SPARK: Multi-vision Sensor Perception And Reasoning Benchmark For Large-scale Vision-language Models (2024) • No Venue
  Yu et al.
• Beyond Llava-hd: Diving Into High-resolution Large Multimodal Models (2024) • No Venue
  Zhang et al.
• An Introduction To Vision-language Modeling (2024) • No Venue
  Bordes et al.
• Visrag: Vision-based Retrieval-augmented Generation On Multi-modality Documents (2024) • No Venue
  Yu et al.
• Document Parsing Unveiled: Techniques, Challenges, And Prospects For Structured Information Extraction (2024) • No Venue
  Zhang et al.
• Critic-v: VLM Critics Help Catch VLM Errors In Multimodal Reasoning (2024) • No Venue
  Zhang et al.
• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
  Zhang et al.
• EVF-SAM: Early Vision-language Fusion For Text-prompted Segment Anything Model (2024) • No Venue
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• Diffusion Self-distillation For Zero-shot Customized Image Generation (2024) • No Venue
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• On The Compositional Generalization Of Multimodal Llms For Medical Imaging (2024) • No Venue
  Cai et al.
• Ferret-v2: An Improved Baseline For Referring And Grounding With Large Language Models (2024) • No Venue
  Zhang et al.
• ROCKET-1: Master Open-world Interaction With Visual-temporal Context Prompting (2024) • No Venue
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• Texthawk: Exploring Efficient Fine-grained Perception Of Multimodal Large Language Models (2024) • No Venue
  Yu et al.
• Mm-vet V2: A Challenging Benchmark To Evaluate Large Multimodal Models For Integrated Capabilities (2024) • No Venue
  Yu et al.
• EVLM: An Efficient Vision-language Model For Visual Understanding (2024) • No Venue
  Chen et al.
• Hyperllava: Dynamic Visual And Language Expert Tuning For Multimodal Large Language Models (2024) • No Venue
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• Chart-based Reasoning: Transferring Capabilities From Llms To Vlms (2024) • No Venue
  Carbune et al.
• Clove: Encoding Compositional Language In Contrastive Vision-language Models (2024) • No Venue
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• Vision Language Models Are Blind (2024) • No Venue
  Rahmanzadehgervi et al.
• Tinyllava: A Framework Of Small-scale Large Multimodal Models (2024) • No Venue
  Zhou et al.
• Free^2guide: Gradient-free Path Integral Control For Enhancing Text-to-video Generation With Large Vision-language Models (2024) • No Venue
  Jaemin Kim, Bryan S Kim, Jong Chul Ye
• Beyondscene: Higher-resolution Human-centric Scene Generation With Pretrained Diffusion (2024) • No Venue
  Kim et al.
• Fifo-diffusion: Generating Infinite Videos From Text Without Training (2024) • No Venue
  Kim et al.
• Towards Universal Soccer Video Understanding (2024) • No Venue
  Rao et al.
• Openvla: An Open-source Vision-language-action Model (2024) • No Venue
  Kim et al.
• Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web (2024) • No Venue
  Kapoor et al.
• Pops: Photo-inspired Diffusion Operators (2024) • No Venue
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• Show-o: One Single Transformer To Unify Multimodal Understanding And Generation (2024) • No Venue
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• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
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• Pyramiddrop: Accelerating Your Large Vision-language Models Via Pyramid Visual Redundancy Reduction (2024) • No Venue
  Xing et al.
• 3D-GRAND: A Million-scale Dataset For 3d-llms With Better Grounding And Less Hallucination (2024) • No Venue
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• BRAVE: Broadening The Visual Encoding Of Vision-language Models (2024) • No Venue
  Kar et al.
• Prismatic Vlms: Investigating The Design Space Of Visually-conditioned Language Models (2024) • No Venue
  Karamcheti et al.
• Noise-aware Training Of Layout-aware Language Models (2024) • No Venue
  Sarkhel et al.
• Slowfast-llava: A Strong Training-free Baseline For Video Large Language Models (2024) • No Venue
  Xu et al.
• INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding (2024) • No Venue
  Ji Ha Jang, Hoigi Seo, Se Young Chun
• VARCO-VISION: Expanding Frontiers In Korean Vision-language Models (2024) • No Venue
  Ju et al.
• Pegasus-v1 Technical Report (2024) • No Venue
  Jung et al.
• Compositional Video Generation As Flow Equalization (2024) • No Venue
  Xingyi Yang, Xinchao Wang
• Dsbench: How Far Are Data Science Agents To Becoming Data Science Experts? (2024) • No Venue
  Jing et al.
• Video-lavit: Unified Video-language Pre-training With Decoupled Visual-motional Tokenization (2024) • No Venue
  Jin et al.
• Mitigating Object Hallucination Via Concentric Causal Attention (2024) • No Venue
  Xing et al.
• Img-diff: Contrastive Data Synthesis For Multimodal Large Language Models (2024) • No Venue
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• Ipadapter-instruct: Resolving Ambiguity In Image-based Conditioning Using Instruct Prompts (2024) • No Venue
  Rowles et al.
• Vigor: Improving Visual Grounding Of Large Vision Language Models With Fine-grained Reward Modeling (2024) • No Venue
  Yan et al.
• Xgen-mm-vid (blip-3-video): You Only Need 32 Tokens To Represent A Video Even In Vlms (2024) • No Venue
  Ryoo et al.
• SOLAMI: Social Vision-language-action Modeling For Immersive Interaction With 3D Autonomous Characters (2024) • No Venue
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• LEOPARD : A Vision Language Model For Text-rich Multi-image Tasks (2024) • No Venue
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• Sceneverse: Scaling 3D Vision-language Learning For Grounded Scene Understanding (2024) • No Venue
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• Sampart3d: Segment Any Part In 3D Objects (2024) • No Venue
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• E5-V: Universal Embeddings With Multimodal Large Language Models (2024) • No Venue
  Jiang et al.
• Mitigating Hallucinations In Large Vision-language Models With Instruction Contrastive Decoding (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 36 citations
  Wang et al.
• Nl-eye: Abductive NLI For Images (2024) • No Venue
  Ventura et al.
• MLLM Can See? Dynamic Correction Decoding For Hallucination Mitigation (2024) • No Venue
  Wang et al.
• Omnifusion Technical Report (2024) • No Venue
  Goncharova et al.
• Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort Via LLM Tool-use (2024) • No Venue
  Toubal et al.
• Navigating The Digital World As Humans Do: Universal Visual Grounding For GUI Agents (2024) • No Venue
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• Infinity-mm: Scaling Multimodal Performance With Large-scale And High-quality Instruction Data (2024) • No Venue
  Gu et al.
• Kaleido Diffusion: Improving Conditional Diffusion Models With Autoregressive Latent Modeling (2024) • No Venue
  Gu et al.
• Mammoth-vl: Eliciting Multimodal Reasoning With Instruction Tuning At Scale (2024) • No Venue
  Guo et al.
• Pulid: Pure And Lightning ID Customization Via Contrastive Alignment (2024) • No Venue
  Guo et al.
• Infinity: Scaling Bitwise Autoregressive Modeling For High-resolution Image Synthesis (2024) • No Venue
  Han et al.
• MARVEL-40M+: Multi-level Visual Elaboration For High-fidelity Text-to-3d Content Creation (2024) • No Venue
  Sinha et al.
• From Pixels To Prose: A Large Dataset Of Dense Image Captions (2024) • No Venue
  Singla et al.
• Exploring Multi-grained Concept Annotations For Multimodal Large Language Models (2024) • No Venue
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• Transfusion: Predict The Next Token And Diffuse Images With One Multi-modal Model (2024) • No Venue
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• Transferable And Principled Efficiency For Open-vocabulary Segmentation (2024) • No Venue
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• Deciphering Cross-modal Alignment In Large Vision-language Models With Modality Integration Rate (2024) • No Venue
  Huang et al.
• Xmodel-vlm: A Simple Baseline For Multimodal Vision Language Model (2024) • No Venue
  Xu et al.
• Pllava : Parameter-free Llava Extension From Images To Videos For Video Dense Captioning (2024) • No Venue
  Xu et al.
• Blenderalchemy: Editing 3D Graphics With Vision-language Models (2024) • No Venue
  Ian Huang, Guandao Yang, Leonidas Guibas
• Videoagent: Long-form Video Understanding With Large Language Model As Agent (2024) • No Venue
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• A Multimodal Automated Interpretability Agent (2024) • No Venue
  Shaham et al.
• Longvila: Scaling Long-context Visual Language Models For Long Videos (2024) • No Venue
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• Inserf: Text-driven Generative Object Insertion In Neural 3D Scenes (2024) • No Venue
  Shahbazi et al.
• Cogvlm2: Visual Language Models For Image And Video Understanding (2024) • No Venue
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• Explanatory Instructions: Towards Unified Vision Tasks Understanding And Zero-shot Generalization (2024) • No Venue
  Shen et al.
• Longvu: Spatiotemporal Adaptive Compression For Long Video-language Understanding (2024) • No Venue
  Shen et al.
• Visual Sketchpad: Sketching As A Visual Chain Of Thought For Multimodal Language Models (2024) • No Venue
  Hu et al.
• Graph-based Captioning: Enhancing Visual Descriptions By Interconnecting Region Captions (2024) • No Venue
  Hsieh et al.
• Realmdreamer: Text-driven 3D Scene Generation With Inpainting And Depth Diffusion (2024) • No Venue
  Shriram et al.
• TIP-I2V: A Million-scale Real Text And Image Prompt Dataset For Image-to-video Generation (2024) • No Venue
  Wenhao Wang, Yi Yang
• Videoespresso: A Large-scale Chain-of-thought Dataset For Fine-grained Video Reasoning Via Core Frame Selection (2024) • No Venue
  Han et al.
• Fastvlm: Efficient Vision Encoding For Vision Language Models (2024) • No Venue
  Vasu et al.
• Lyra: An Efficient And Speech-centric Framework For Omni-cognition (2024) • No Venue
  Zhong et al.
• Qwen2-vl: Enhancing Vision-language Model's Perception Of The World At Any Resolution (2024) • No Venue
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• Ref-avs: Refer And Segment Objects In Audio-visual Scenes (2024) • No Venue
  Wang et al.
• Omnijarvis: Unified Vision-language-action Tokenization Enables Open-world Instruction Following Agents (2024) • No Venue
  Wang et al.
• Zipvl: Efficient Large Vision-language Models With Dynamic Token Sparsification And KV Cache Compression (2024) • No Venue
  He et al.
• MA-LMM: Memory-augmented Large Multimodal Model For Long-term Video Understanding (2024) • No Venue
  He et al.
• Distill Visual Chart Reasoning Ability From Llms To Mllms (2024) • No Venue
  He et al.
• Cameractrl: Enabling Camera Control For Text-to-video Generation (2024) • No Venue
  He et al.
• Improve Vision Language Model Chain-of-thought Reasoning (2024) • No Venue
  Zhang et al.
• How Far Are We From Intelligent Visual Deductive Reasoning? (2024) • No Venue
  Zhang et al.
• EMOVA: Empowering Language Models To See, Hear And Speak With Vivid Emotions (2024) • No Venue
  Chen et al.
• Getting It Right: Improving Spatial Consistency In Text-to-image Models (2024) • No Venue
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• Still-moving: Customized Video Generation Without Customized Video Data (2024) • No Venue
  Chefer et al.
• Veagle: Advancements In Multimodal Representation Learning (2024) • No Venue
  Chawla et al.
• Internlm-xcomposer-2.5: A Versatile Large Vision Language Model Supporting Long-contextual Input And Output (2024) • No Venue
  Zhang et al.
• Chexagent: Towards A Foundation Model For Chest X-ray Interpretation (2024) • No Venue
  Chen et al.
• An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-play Inference Acceleration For Large Vision-language Models (2024) • No Venue
  Chen et al.
• Dolphin: Long Context As A New Modality For Energy-efficient On-device Language Models (2024) • No Venue
  Chen et al.
• Compcap: Improving Multimodal Large Language Models With Composite Captions (2024) • No Venue
  Chen et al.
• Contrastive Localized Language-image Pre-training (2024) • No Venue
  Chen et al.
• Sharegpt4video: Improving Video Understanding And Generation With Better Captions (2024) • No Venue
  Chen et al.
• Interleaved Scene Graph For Interleaved Text-and-image Generation Assessment (2024) • No Venue
  Chen et al.
• Frozenseg: Harmonizing Frozen Foundation Models For Open-vocabulary Segmentation (2024) • No Venue
  Chen et al.
• Florence-vl: Enhancing Vision-language Models With Generative Vision Encoder And Depth-breadth Fusion (2024) • No Venue
  Chen et al.
• Gmai-mmbench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI (2024) • No Venue
  Chen et al.
• How Far Are We To GPT-4V? Closing The Gap To Commercial Multimodal Models With Open-source Suites (2024) • No Venue
  Chen et al.
• Mega-bench: Scaling Multimodal Evaluation To Over 500 Real-world Tasks (2024) • No Venue
  Chen et al.
• Multi-object Hallucination In Vision-language Models (2024) • No Venue
  Chen et al.
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• Visual Instruction Tuning (2023) • Arxiv • 665 citations
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• Evaluating Object Hallucination In Large Vision-language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 302 citations
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• Contextual Object Detection With Multimodal Large Language Models (2023) • International Journal of Computer Vision • 56 citations
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• Socratic Models: Composing Zero-shot Multimodal Reasoning With Language (2022) • Arxiv • 170 citations
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• From Images To Textual Prompts: Zero-shot VQA With Frozen Large Language Models (2022) • Arxiv • 12 citations
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