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TTRL: Test-time Reinforcement Learning
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Reasonflux-prm: Trajectory-aware Prms For Long Chain-of-thought Reasoning In Llms
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Enhancing Human-like Responses In Large Language Models
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Falcon-h1: A Family Of Hybrid-head Language Models Redefining Efficiency And Performance
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4kagent: Agentic Any Image To 4K Super-resolution
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Native Sparse Attention: Hardware-aligned And Natively Trainable Sparse Attention
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Llada-v: Large Language Diffusion Models With Visual Instruction Tuning
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Craw4llm: Efficient Web Crawling For LLM Pretraining
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Aligning Multimodal LLM With Human Preference: A Survey
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Mme-reasoning: A Comprehensive Benchmark For Logical Reasoning In Mllms
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Unicorn: Text-only Data Synthesis For Vision Language Model Training
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Vargpt-v1.1: Improve Visual Autoregressive Large Unified Model Via Iterative Instruction Tuning And Reinforcement Learning
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Transformers Without Normalization
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Obs-diff: Accurate Pruning For Diffusion Models In One-shot
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Multiagentbench: Evaluating The Collaboration And Competition Of LLM Agents
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MMR-V: What's Left Unsaid? A Benchmark For Multimodal Deep Reasoning In Videos
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A Survey On Latent Reasoning
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Scaling Test-time Compute For LLM Agents
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Hybridnorm: Towards Stable And Efficient Transformer Training Via Hybrid Normalization
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R1-zero's "aha Moment" In Visual Reasoning On A 2B Non-sft Model
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Evolving Language Models Without Labels: Majority Drives Selection, Novelty Promotes Variation
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Agentfly: Fine-tuning LLM Agents Without Fine-tuning Llms
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Breaking The Exploration Bottleneck: Rubric-scaffolded Reinforcement Learning For General LLM Reasoning
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Omniworld: A Multi-domain And Multi-modal Dataset For 4D World Modeling
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Megamath: Pushing The Limits Of Open Math Corpora
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Landscape Of Thoughts: Visualizing The Reasoning Process Of Large Language Models
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Large Language Models Penetration In Scholarly Writing And Peer Review
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Neural-driven Image Editing
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Variational Reasoning For Language Models
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Roborefer: Towards Spatial Referring With Reasoning In Vision-language Models For Robotics
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Reinforcing General Reasoning Without Verifiers
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Scientists' First Exam: Probing Cognitive Abilities Of MLLM Via Perception, Understanding, And Reasoning
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WALL-E 2.0: World Alignment By Neurosymbolic Learning Improves World Model-based LLM Agents
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Is Extending Modality The Right Path Towards Omni-modality?
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Establishing Trustworthy LLM Evaluation Via Shortcut Neuron Analysis
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DICEPTION: A Generalist Diffusion Model For Visual Perceptual Tasks
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Babel: Open Multilingual Large Language Models Serving Over 90% Of Global Speakers
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Absolute Zero: Reinforced Self-play Reasoning With Zero Data
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Chemdfm-r: An Chemical Reasoner LLM Enhanced With Atomized Chemical Knowledge
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Learning To Reason Without External Rewards
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Insights Into Deepseek-v3: Scaling Challenges And Reflections On Hardware For AI Architectures
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One Token To Fool Llm-as-a-judge
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MM-HELIX: Boosting Multimodal Long-chain Reflective Reasoning With Holistic Platform And Adaptive Hybrid Policy Optimization
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Omnialign-v: Towards Enhanced Alignment Of Mllms With Human Preference
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R1-omni: Explainable Omni-multimodal Emotion Recognition With Reinforcing Learning
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Jiaxing Zhao, Xihan Wei, Liefeng Bo
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Promptcot 2.0: Scaling Prompt Synthesis For Large Language Model Reasoning
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Marrying Autoregressive Transformer And Diffusion With Multi-reference Autoregression
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Group Sequence Policy Optimization
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First Return, Entropy-eliciting Explore
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An Empirical Study Of Qwen3 Quantization
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Diffusionnft: Online Diffusion Reinforcement With Forward Process
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Vbench-2.0: Advancing Video Generation Benchmark Suite For Intrinsic Faithfulness
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Parallel-r1: Towards Parallel Thinking Via Reinforcement Learning
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Livecodebench Pro: How Do Olympiad Medalists Judge Llms In Competitive Programming?
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Newtonbench: Benchmarking Generalizable Scientific Law Discovery In LLM Agents
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Scaling Diffusion Transformers Efficiently Via Μp
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Complexfuncbench: Exploring Multi-step And Constrained Function Calling Under Long-context Scenario
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Vibe Checker: Aligning Code Evaluation With Human Preference
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How Far Are Vlms From Visual Spatial Intelligence? A Benchmark-driven Perspective
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Discrete Diffusion In Large Language And Multimodal Models: A Survey
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Runpeng Yu, Qi Li, Xinchao Wang
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Formalmath: Benchmarking Formal Mathematical Reasoning Of Large Language Models
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Minicpm-v 4.5: Cooking Efficient Mllms Via Architecture, Data, And Training Recipe
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Sotopia-rl: Reward Design For Social Intelligence
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Z1: Efficient Test-time Scaling With Code
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Lumos-1: On Autoregressive Video Generation From A Unified Model Perspective
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GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems In Visual Contexts
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Being-0: A Humanoid Robotic Agent With Vision-language Models And Modular Skills
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Agent-r: Training Language Model Agents To Reflect Via Iterative Self-training
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Efficientllm: Efficiency In Large Language Models
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Understand Before You Generate: Self-guided Training For Autoregressive Image Generation
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Vl-cogito: Progressive Curriculum Reinforcement Learning For Advanced Multimodal Reasoning
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Sa2va: Marrying SAM2 With Llava For Dense Grounded Understanding Of Images And Videos
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Shortv: Efficient Multimodal Large Language Models By Freezing Visual Tokens In Ineffective Layers
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Designlab: Designing Slides Through Iterative Detection And Correction
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Multi-swe-bench: A Multilingual Benchmark For Issue Resolving
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Internlm-xcomposer2.5-reward: A Simple Yet Effective Multi-modal Reward Model
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Gliner2: An Efficient Multi-task Information Extraction System With Schema-driven Interface
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Reasoning Vectors: Transferring Chain-of-thought Capabilities Via Task Arithmetic
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Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Bernard Ghanem
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SIFT: Grounding LLM Reasoning In Contexts Via Stickers
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Satori-swe: Evolutionary Test-time Scaling For Sample-efficient Software Engineering
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Vision-r1: Evolving Human-free Alignment In Large Vision-language Models Via Vision-guided Reinforcement Learning
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Exgrpo: Learning To Reason From Experience
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Codecriticbench: A Holistic Code Critique Benchmark For Large Language Models
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Booststep: Boosting Mathematical Capability Of Large Language Models Via Improved Single-step Reasoning
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2.5 Years In Class: A Multimodal Textbook For Vision-language Pretraining
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100 Days After Deepseek-r1: A Survey On Replication Studies And More Directions For Reasoning Language Models
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70% Size, 100% Accuracy: Lossless LLM Compression For Efficient GPU Inference Via Dynamic-length Float
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Aixiv: A Next-generation Open Access Ecosystem For Scientific Discovery Generated By AI Scientists
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Agentic Context Engineering: Evolving Contexts For Self-improving Language Models
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Bee: A High-quality Corpus And Full-stack Suite To Unlock Advanced Fully Open Mllms
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API Agents Vs. GUI Agents: Divergence And Convergence
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Basereward: A Strong Baseline For Multimodal Reward Model
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Metamind: Modeling Human Social Thoughts With Metacognitive Multi-agent Systems
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GKG-LLM: A Unified Framework For Generalized Knowledge Graph Construction
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Diffusion Vs. Autoregressive Language Models: A Text Embedding Perspective
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Coding Triangle: How Does Large Language Model Understand Code?
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Complex Logical Instruction Generation
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DITING: A Multi-agent Evaluation Framework For Benchmarking Web Novel Translation
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Echox: Towards Mitigating Acoustic-semantic Gap Via Echo Training For Speech-to-speech Llms
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Easycontrol: Adding Efficient And Flexible Control For Diffusion Transformer
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Generative Universal Verifier As Multimodal Meta-reasoner
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Faster Video Diffusion With Trainable Sparse Attention
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F2LLM Technical Report: Matching SOTA Embedding Performance With 6 Million Open-source Data
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Fast Video Generation With Sliding Tile Attention
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Flashvideo:flowing Fidelity To Detail For Efficient High-resolution Video Generation
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MARS: A Multi-agent Framework Incorporating Socratic Guidance For Automated Prompt Optimization
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The Lessons Of Developing Process Reward Models In Mathematical Reasoning
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Inverse Ifeval: Can Llms Unlearn Stubborn Training Conventions To Follow Real Instructions?
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Iheval: Evaluating Language Models On Following The Instruction Hierarchy
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The Landscape Of Agentic Reinforcement Learning For Llms: A Survey
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Lightthinker: Thinking Step-by-step Compression
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Llava-mini: Efficient Image And Video Large Multimodal Models With One Vision Token
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MM-RLHF: The Next Step Forward In Multimodal LLM Alignment
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Packing Input Frame Context In Next-frame Prediction Models For Video Generation
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Lvmin Zhang, Maneesh Agrawala
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Prompt Orchestration Markup Language
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Pixel-sail: Single Transformer For Pixel-grounded Understanding
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Process-based Self-rewarding Language Models
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Redundancy Principles For Mllms Benchmarks
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R1-VL: Learning To Reason With Multimodal Large Language Models Via Step-wise Group Relative Policy Optimization
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Reasoning Over Boundaries: Enhancing Specification Alignment Via Test-time Delibration
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RLFR: Extending Reinforcement Learning For Llms With Flow Environment
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UFO2: The Desktop Agentos
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Swe-bench Goes Live!
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SLA: Beyond Sparsity In Diffusion Transformers Via Fine-tunable Sparse-linear Attention
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Sec: Advancing Complex Video Object Segmentation Via Progressive Concept Construction
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Sentient Agent As A Judge: Evaluating Higher-order Social Cognition In Large Language Models
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Soundwave: Less Is More For Speech-text Alignment In Llms
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A Survey Of Reinforcement Learning For Large Reasoning Models
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Training-free Efficient Video Generation Via Dynamic Token Carving
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T2r-bench: A Benchmark For Generating Article-level Reports From Real World Industrial Tables
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Tensor Product Attention Is All You Need
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Towards Video Thinking Test: A Holistic Benchmark For Advanced Video Reasoning And Understanding
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Vlm^2-bench: A Closer Look At How Well Vlms Implicitly Link Explicit Matching Visual Cues
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Videorepa: Learning Physics For Video Generation Through Relational Alignment With Foundation Models
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Vision-language-vision Auto-encoder: Scalable Knowledge Distillation From Diffusion Models
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What, How, Where, And How Well? A Survey On Test-time Scaling In Large Language Models
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When Punctuation Matters: A Large-scale Comparison Of Prompt Robustness Methods For Llms
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Seleznyov et al.
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Benchmarking Optimizers For Large Language Model Pretraining
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Andrei Semenov, Matteo Pagliardini, Martin Jaggi
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Skrr: Skip And Re-use Text Encoder Layers For Memory Efficient Text-to-image Generation
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Efficient Personalization Of Quantized Diffusion Model Without Backpropagation
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Paper2code: Automating Code Generation From Scientific Papers In Machine Learning
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NER Retriever: Zero-shot Named Entity Retrieval With Type-aware Embeddings
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Shachar et al.
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Imagerag: Dynamic Image Retrieval For Reference-guided Image Generation
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Longrope2: Near-lossless LLM Context Window Scaling
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Nile-chat: Egyptian Language Models For Arabic And Latin Scripts
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Core^2: Collect, Reflect And Refine To Generate Better And Faster
(2025)
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Holitom: Holistic Token Merging For Fast Video Large Language Models
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When Tokens Talk Too Much: A Survey Of Multimodal Long-context Token Compression Across Images, Videos, And Audios
(2025)
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Yourbench: Easy Custom Evaluation Sets For Everyone
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Shashidhar et al.
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Exploring Data Scaling Trends And Effects In Reinforcement Learning From Human Feedback
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Are We On The Right Way For Assessing Document Retrieval-augmented Generation?
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VLM-R1: A Stable And Generalizable R1-style Large Vision-language Model
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Semi-off-policy Reinforcement Learning For Vision-language Slow-thinking Reasoning
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Qwenlong-cprs: Towards Infty-llms With Dynamic Context Optimization
(2025)
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Satori: Reinforcement Learning With Chain-of-action-thought Enhances LLM Reasoning Via Autoregressive Search
(2025)
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Shen et al.
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Skywork-r1v3 Technical Report
(2025)
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Shen et al.
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Solving Inequality Proofs With Large Language Models
(2025)
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Mme-videoocr: Evaluating Ocr-based Capabilities Of Multimodal Llms In Video Scenarios
(2025)
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Shi et al.
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Longcodezip: Compress Long Context For Code Language Models
(2025)
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Mavors: Multi-granularity Video Representation For Multimodal Large Language Model
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Voila: Voice-language Foundation Models For Real-time Autonomous Interaction And Voice Role-play
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Shi et al.
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Replaceme: Network Simplification Via Layer Pruning And Linear Transformations
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Shopkhoev et al.
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COSPADI: Compressing Llms Via Calibration-guided Sparse Dictionary Learning
(2025)
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Shopkhoev et al.
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Smolvla: A Vision-language-action Model For Affordable And Efficient Robotics
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Shukor et al.
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LADDER: Self-improving Llms Through Recursive Problem Decomposition
(2025)
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Toby Simonds, Akira Yoshiyama
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Agentic Reasoning And Tool Integration For Llms Via Reinforcement Learning
(2025)
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Singh et al.
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Can Language Models Falsify? Evaluating Algorithmic Reasoning With Counterexample Creation
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Sinha et al.
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The Illusion Of Diminishing Returns: Measuring Long Horizon Execution In Llms
(2025)
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Sinha et al.
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Smallthinker: A Family Of Efficient Large Language Models Natively Trained For Local Deployment
(2025)
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Song et al.
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Chain-of-model Learning For Language Model
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Song et al.
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Seed Diffusion: A Large-scale Diffusion Language Model With High-speed Inference
(2025)
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Song et al.
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Progco: Program Helps Self-correction Of Large Language Models
(2025)
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Song et al.
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Omniconsistency: Learning Style-agnostic Consistency From Paired Stylization Data
(2025)
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Yiren Song, Cheng Liu, Mike Zheng Shou
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R1-searcher: Incentivizing The Search Capability In Llms Via Reinforcement Learning
(2025)
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Song et al.
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Pixel Reasoner: Incentivizing Pixel-space Reasoning With Curiosity-driven Reinforcement Learning
(2025)
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Su et al.
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Learn-by-interact: A Data-centric Framework For Self-adaptive Agents In Realistic Environments
(2025)
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Su et al.
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Expanding RL With Verifiable Rewards Across Diverse Domains
(2025)
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Su et al.
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Openthinkimg: Learning To Think With Images Via Visual Tool Reinforcement Learning
(2025)
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Su et al.
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Multiagent Finetuning: Self Improvement With Diverse Reasoning Chains
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Subramaniam et al.
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Scaling Agents Via Continual Pre-training
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Su et al.
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Stop Overthinking: A Survey On Efficient Reasoning For Large Language Models
(2025)
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Sui et al.
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Stableavatar: Infinite-length Audio-driven Avatar Video Generation
(2025)
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Tu et al.
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Unified Continuous Generative Models
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Peng Sun, Yi Jiang, Tao Lin
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Inverse Reinforcement Learning Meets Large Language Model Post-training: Basics, Advances, And Opportunities
(2025)
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Hao Sun, Mihaela van Der Schaar
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HANRAG: Heuristic Accurate Noise-resistant Retrieval-augmented Generation For Multi-hop Question Answering
(2025)
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Sun et al.
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The Curse Of Depth In Large Language Models
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Sun et al.
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Challenging The Boundaries Of Reasoning: An Olympiad-level Math Benchmark For Large Language Models
(2025)
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Sun et al.
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Transformer^2: Self-adaptive Llms
(2025)
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Qi Sun, Edoardo Cetin, Yujin Tang
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Scienceboard: Evaluating Multimodal Autonomous Agents In Realistic Scientific Workflows
(2025)
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Sun et al.
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Reasonmed: A 370K Multi-agent Generated Dataset For Advancing Medical Reasoning
(2025)
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Sun et al.
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Llava-scissor: Token Compression With Semantic Connected Components For Video Llms
(2025)
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Sun et al.
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Seagent: Self-evolving Computer Use Agent With Autonomous Learning From Experience
(2025)
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Sun et al.
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Speed Always Wins: A Survey On Efficient Architectures For Large Language Models
(2025)
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Sun et al.
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Zerosearch: Incentivize The Search Capability Of Llms Without Searching
(2025)
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Sun et al.
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DINGO: Constrained Inference For Diffusion Llms
(2025)
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Suresh et al.
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Au-harness: An Open-source Toolkit For Holistic Evaluation Of Audio Llms
(2025)
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Surapaneni et al.
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When An LLM Is Apprehensive About Its Answers -- And When Its Uncertainty Is Justified
(2025)
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Sychev et al.
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Videogameqa-bench: Evaluating Vision-language Models For Video Game Quality Assurance
(2025)
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Taesiri et al.
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Intrex: A Dataset For Modeling Engagement In Educational Conversations
(2025)
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Tan et al.
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Supergpqa: Scaling LLM Evaluation Across 285 Graduate Disciplines
(2025)
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Team et al.
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Lego-puzzles: How Good Are Mllms At Multi-step Spatial Reasoning?
(2025)
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Tang et al.
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Large Language Models For Data Synthesis
(2025)
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Yihong Tang, Menglin Kong, Lijun Sun
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Enabling Scalable Oversight Via Self-evolving Critic
(2025)
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Tang et al.
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Exploring The Potential Of Encoder-free Architectures In 3D Lmms
(2025)
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Tang et al.
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TULIP: Towards Unified Language-image Pretraining
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Tang et al.
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Realcritic: Towards Effectiveness-driven Evaluation Of Language Model Critiques
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Tang et al.
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Video-lmm Post-training: A Deep Dive Into Video Reasoning With Large Multimodal Models
(2025)
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Tang et al.
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Code Graph Model (CGM): A Graph-integrated Large Language Model For Repository-level Software Engineering Tasks
(2025)
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Tao et al.
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Hybrid Reinforcement: When Reward Is Sparse, It's Better To Be Dense
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Tao et al.
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Plug-and-play 1.x-bit KV Cache Quantization For Video Large Language Models
(2025)
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Tao et al.
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Webshaper: Agentically Data Synthesizing Via Information-seeking Formalization
(2025)
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Tao et al.
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Cube: A Roblox View Of 3D Intelligence
(2025)
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Team et al.
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Baichuan-m2: Scaling Medical Capability With Large Verifier System
(2025)
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Team et al.
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COIG-P: A High-quality And Large-scale Chinese Preference Dataset For Alignment With Human Values
(2025)
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Team et al.
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Nextstep-1: Toward Autoregressive Image Generation With Continuous Tokens At Scale
(2025)
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Team et al.
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Kwai Keye-vl Technical Report
(2025)
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Team et al.
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Kanana: Compute-efficient Bilingual Language Models
(2025)
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Team et al.
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Lingshu: A Generalist Foundation Model For Unified Multimodal Medical Understanding And Reasoning
(2025)
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Team et al.
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Mimo-vl Technical Report
(2025)
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Team et al.
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Longwriter-v: Enabling Ultra-long And High-fidelity Generation In Vision-language Models
(2025)
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Tu et al.
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Llamav-o1: Rethinking Step-by-step Visual Reasoning In Llms
(2025)
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Thawakar et al.
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MMMR: Benchmarking Massive Multi-modal Reasoning Tasks
(2025)
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Tie et al.
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More Thought, Less Accuracy? On The Dual Nature Of Reasoning In Vision-language Models
(2025)
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Tian et al.
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Think Twice: Enhancing LLM Reasoning By Scaling Multi-round Test-time Thinking
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Tian et al.
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Padding Tone: A Mechanistic Analysis Of Padding Tokens In T2I Models
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Toker et al.
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Deepprune: Parallel Scaling Without Inter-trace Redundancy
(2025)
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Tu et al.
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Siglip 2: Multilingual Vision-language Encoders With Improved Semantic Understanding, Localization, And Dense Features
(2025)
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Tschannen et al.
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Time Blindness: Why Video-language Models Can't See What Humans Can?
(2025)
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Upadhyay et al.
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Vision Language Models Are Biased
(2025)
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Vo et al.
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B-score: Detecting Biases In Large Language Models Using Response History
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Vo et al.
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SRPO: Enhancing Multimodal LLM Reasoning Via Reflection-aware Reinforcement Learning
(2025)
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Wan et al.
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Autoregressive Semantic Visual Reconstruction Helps Vlms Understand Better
(2025)
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Wang et al.
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Bitvla: 1-bit Vision-language-action Models For Robotics Manipulation
(2025)
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Wang et al.
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Beyond The 80/20 Rule: High-entropy Minority Tokens Drive Effective Reinforcement Learning For LLM Reasoning
(2025)
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Wang et al.
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Bitnet V2: Native 4-bit Activations With Hadamard Transformation For 1-bit Llms
(2025)
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Hongyu Wang, Shuming Ma, Furu Wei
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Coser: Coordinating Llm-based Persona Simulation Of Established Roles
(2025)
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Wang et al.
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CODESYNC: Synchronizing Large Language Models With Dynamic Code Evolution At Scale
(2025)
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Wang et al.
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Cmphysbench: A Benchmark For Evaluating Large Language Models In Condensed Matter Physics
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Wang et al.
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Declip: Decoupled Learning For Open-vocabulary Dense Perception
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Wang et al.
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Critique Fine-tuning: Learning To Critique Is More Effective Than Learning To Imitate
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Yubo Wang, Xiang Yue, Wenhu Chen
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End-to-end Vision Tokenizer Tuning
(2025)
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Wang et al.
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Drivel-ology: Challenging Llms With Interpreting Nonsense With Depth
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Wang et al.
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From Editor To Dense Geometry Estimator
(2025)
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Wang et al.
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Emergent Hierarchical Reasoning In Llms Through Reinforcement Learning
(2025)
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Wang et al.
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Stabilizing Knowledge, Promoting Reasoning: Dual-token Constraints For RLVR
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Wang et al.
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Perception-aware Policy Optimization For Multimodal Reasoning
(2025)
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Wang et al.
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Multimodal Chain-of-thought Reasoning: A Comprehensive Survey
(2025)
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Wang et al.
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Harnessing Uncertainty: Entropy-modulated Policy Gradients For Long-horizon LLM Agents
(2025)
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Wang et al.
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Internsvg: Towards Unified SVG Tasks With Multimodal Large Language Models
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Wang et al.
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Jigsaw-r1: A Study Of Rule-based Visual Reinforcement Learning With Jigsaw Puzzles
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Wang et al.
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Lifelong Safety Alignment For Language Models
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Wang et al.
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MIRIX: Multi-agent Memory System For Llm-based Agents
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Yu Wang, Xi Chen
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Mcp-bench: Benchmarking Tool-using LLM Agents With Complex Real-world Tasks Via MCP Servers
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Wang et al.
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Memmamba: Rethinking Memory Patterns In State Space Model
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Wang et al.
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Mmlongbench: Benchmarking Long-context Vision-language Models Effectively And Thoroughly
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Wang et al.
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PATS: Process-level Adaptive Thinking Mode Switching
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Wang et al.
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Opencua: Open Foundations For Computer-use Agents
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Wang et al.
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Omniear: Benchmarking Agent Reasoning In Embodied Tasks
(2025)
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Wang et al.
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ODYSSEY: Open-world Quadrupeds Exploration And Manipulation For Long-horizon Tasks
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Wang et al.
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Optimizing Large Language Model Training Using FP4 Quantization
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OTC: Optimal Tool Calls Via Reinforcement Learning
(2025)
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Sparsed: Sparse Attention For Diffusion Language Models
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Scaling Pre-training To One Hundred Billion Data For Vision Language Models
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Resa: Transparent Reasoning Models Via Saes
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Wang et al.
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Reinforcement Learning For Reasoning In Large Language Models With One Training Example
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Wang et al.
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RLVER: Reinforcement Learning With Verifiable Emotion Rewards For Empathetic Agents
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Wang et al.
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Revolutionizing Reinforcement Learning Framework For Diffusion Large Language Models
(2025)
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Wang et al.
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Scholarcopilot: Training Large Language Models For Academic Writing With Accurate Citations
(2025)
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Wang et al.
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Transition Models: Rethinking The Generative Learning Objective
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Wang et al.
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Thoughts Are All Over The Place: On The Underthinking Of O1-like Llms
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Wang et al.
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Textatlas5m: A Large-scale Dataset For Dense Text Image Generation
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Wang et al.
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Time Is A Feature: Exploiting Temporal Dynamics In Diffusion Language Models
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Wang et al.
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Tina: Tiny Reasoning Models Via Lora
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Wang et al.
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Vicrit: A Verifiable Reinforcement Learning Proxy Task For Visual Perception In Vlms
(2025)
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Wang et al.
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UI-TARS-2 Technical Report: Advancing GUI Agent With Multi-turn Reinforcement Learning
(2025)
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Wang et al.
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Transpixar: Advancing Text-to-video Generation With Transparency
(2025)
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Wang et al.
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Trustjudge: Inconsistencies Of Llm-as-a-judge And How To Alleviate Them
(2025)
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Wang et al.
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Worldpm: Scaling Human Preference Modeling
(2025)
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Wang et al.
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Voiceassistant-eval: Benchmarking AI Assistants Across Listening, Speaking, And Viewing
(2025)
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Wang et al.
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Vl-rethinker: Incentivizing Self-reflection Of Vision-language Models With Reinforcement Learning
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Wang et al.
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Vision-zero: Scalable VLM Self-improvement Via Strategic Gamified Self-play
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Wang et al.
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Visualprm: An Effective Process Reward Model For Multimodal Reasoning
(2025)
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Wang et al.
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World Modeling Makes A Better Planner: Dual Preference Optimization For Embodied Task Planning
(2025)
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Wang et al.
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Winning The Pruning Gamble: A Unified Approach To Joint Sample And Token Pruning For Efficient Supervised Fine-tuning
(2025)
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Wang et al.
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Vs-bench: Evaluating Vlms For Strategic Reasoning And Decision-making In Multi-agent Environments
(2025)
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Xu et al.
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Towards System 2 Reasoning In Llms: Learning How To Think With Meta Chain-of-though
(2025)
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Xiang et al.
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Efficient Multi-modal Large Language Models Via Progressive Consistency Distillation
(2025)
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Wen et al.
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Llama-3.1-foundationai-securityllm-8b-instruct Technical Report
(2025)
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Weerawardhena et al.
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Unsupervised Post-training For Multi-modal LLM Reasoning Via GRPO
(2025)
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Wei et al.
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Open Vision Reasoner: Transferring Linguistic Cognitive Behavior For Visual Reasoning
(2025)
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Wei et al.
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Advancing Multimodal Reasoning Via Reinforcement Learning With Cold Start
(2025)
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Wei et al.
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SWE-RL: Advancing LLM Reasoning Via Reinforcement Learning On Open Software Evolution
(2025)
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Wei et al.
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Sim-cot: Supervised Implicit Chain-of-thought
(2025)
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Wei et al.
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Streamvln: Streaming Vision-and-language Navigation Via Slowfast Context Modeling
(2025)
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Wei et al.
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Truthrl: Incentivizing Truthful Llms Via Reinforcement Learning
(2025)
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Wei et al.
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The Devil Behind The Mask: An Emergent Safety Vulnerability Of Diffusion Llms
(2025)
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Wen et al.
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3D Scene Generation: A Survey
(2025)
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Wen et al.
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Seq Vs Seq: An Open Suite Of Paired Encoders And Decoders
(2025)
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Weller et al.
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Spot The Fake: Large Multimodal Model-based Synthetic Image Detection With Artifact Explanation
(2025)
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Wen et al.
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Reinforcement Learning With Verifiable Rewards Implicitly Incentivizes Correct Reasoning In Base Llms
(2025)
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Wen et al.
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Video Models Are Zero-shot Learners And Reasoners
(2025)
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Wiedemer et al.
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Widesearch: Benchmarking Agentic Broad Info-seeking
(2025)
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Wong et al.
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It Takes Two: Your GRPO Is Secretly DPO
(2025)
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Wu et al.
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Efficient Pretraining Length Scaling
(2025)
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Wu et al.
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Boosting Multimodal Reasoning With Mcts-automated Structured Thinking
(2025)
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Wu et al.
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Any2caption:interpreting Any Condition To Caption For Controllable Video Generation
(2025)
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Wu et al.
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The Bitter Lesson Learned From 2,000+ Multilingual Benchmarks
(2025)
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Wu et al.
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COMPACT: Compositional Atomic-to-complex Visual Capability Tuning
(2025)
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Wu et al.
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From Hours To Minutes: Lossless Acceleration Of Ultra Long Sequence Generation Up To 100K Tokens
(2025)
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Wu et al.
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Generate, But Verify: Reducing Hallucination In Vision-language Models With Retrospective Resampling
(2025)
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Wu et al.
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Fast-dllm: Training-free Acceleration Of Diffusion LLM By Enabling KV Cache And Parallel Decoding
(2025)
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Wu et al.
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Grove Moe: Towards Efficient And Superior Moe Llms With Adjugate Experts
(2025)
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Wu et al.
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Longwriter-zero: Mastering Ultra-long Text Generation Via Reinforcement Learning
(2025)
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Wu et al.
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Latent Flow Transformer
(2025)
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Wu et al.
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Lightgen: Efficient Image Generation Through Knowledge Distillation And Direct Preference Optimization
(2025)
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Wu et al.
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Multiplayer Nash Preference Optimization
(2025)
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Wu et al.
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Open Data Synthesis For Deep Research
(2025)
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Xia et al.
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Omnithink: Expanding Knowledge Boundaries In Machine Writing Through Thinking
(2025)
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Xi et al.
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Superwriter: Reflection-driven Long-form Generation With Large Language Models
(2025)
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Wu et al.
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Shifting Long-context Llms Research From Input To Output
(2025)
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Wu et al.
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Reasoning Or Memorization? Unreliable Results Of Reinforcement Learning Due To Data Contamination
(2025)
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Wu et al.
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Reinforcement Learning In Vision: A Survey
(2025)
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Wu et al.
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Rewarddance: Reward Scaling In Visual Generation
(2025)
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Wu et al.
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Step-audio 2 Technical Report
(2025)
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Wu et al.
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Spatial-mllm: Boosting MLLM Capabilities In Visual-based Spatial Intelligence
(2025)
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Wu et al.
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Visualquality-r1: Reasoning-induced Image Quality Assessment Via Reinforcement Learning To Rank
(2025)
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Wu et al.
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Synthrl: Scaling Visual Reasoning With Verifiable Data Synthesis
(2025)
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Wu et al.
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Visual Jigsaw Post-training Improves Mllms
(2025)
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Wu et al.
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Vmoba: Mixture-of-block Attention For Video Diffusion Models
(2025)
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Wu et al.
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Writingbench: A Comprehensive Benchmark For Generative Writing
(2025)
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Wu et al.
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Naturelm: Deciphering The Language Of Nature For Scientific Discovery
(2025)
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Xia et al.
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Visulogic: A Benchmark For Evaluating Visual Reasoning In Multi-modal Large Language Models
(2025)
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Xu et al.
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Scaling Language-centric Omnimodal Representation Learning
(2025)
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Xiao et al.
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Retrieval-augmented Large Language Models For Financial Time Series Forecasting
(2025)
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Xiao et al.
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Aworld: Dynamic Multi-agent System With Stable Maneuvering For Robust GAIA Problem Solving
(2025)
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Xie et al.
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Are Vlms Ready For Autonomous Driving? An Empirical Study From The Reliability, Data, And Metric Perspectives
(2025)
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Xie et al.
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STAR: Spatial-temporal Augmentation With Text-to-video Models For Real-world Video Super-resolution
(2025)
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Xie et al.
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Teaching Language Models To Critique Via Reinforcement Learning
(2025)
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Xie et al.
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Surrogate Signals From Format And Length: Reinforcement Learning For Solving Mathematical Problems Without Ground Truth Answers
(2025)
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Xin et al.
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Caprl: Stimulating Dense Image Caption Capabilities Via Reinforcement Learning
(2025)
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Xing et al.
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Flag-trader: Fusion Llm-agent With Gradient-based Reinforcement Learning For Financial Trading
(2025)
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Xiong et al.
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Self-rewarding Correction For Mathematical Reasoning
(2025)
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Xiong et al.
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MPO: Boosting LLM Agents With Meta Plan Optimization
(2025)
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Xiong et al.
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Visual Planning: Let's Think Only With Images
(2025)
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Xu et al.
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Unveiling Downstream Performance Scaling Of Llms: A Clustering-based Perspective
(2025)
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Xu et al.
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Jodi: Unification Of Visual Generation And Understanding Via Joint Modeling
(2025)
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Xu et al.
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Deepphy: Benchmarking Agentic Vlms On Physical Reasoning
(2025)
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Xu et al.
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Chain Of Draft: Thinking Faster By Writing Less
(2025)
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Xu et al.
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Easysteer: A Unified Framework For High-performance And Extensible LLM Steering
(2025)
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Xu et al.
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Noderag: Structuring Graph-based RAG With Heterogeneous Nodes
(2025)
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Xu et al.
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Kodcode: A Diverse, Challenging, And Verifiable Synthetic Dataset For Coding
(2025)
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Xu et al.
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Mind The Gap: Bridging Thought Leap For Improved Chain-of-thought Tuning
(2025)
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Xu et al.
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Phi-4-mini-reasoning: Exploring The Limits Of Small Reasoning Language Models In Math
(2025)
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Xu et al.
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Towards Large Reasoning Models: A Survey Of Reinforced Reasoning With Large Language Models
(2025)
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Xu et al.
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Single-stream Policy Optimization
(2025)
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Zhongwen Xu, Zihan Ding
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Relearn: Unlearning Via Learning For Large Language Models
(2025)
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Xu et al.
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Show-o Turbo: Towards Accelerated Unified Multimodal Understanding And Generation
(2025)
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Xu et al.
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Streamingvlm: Real-time Understanding For Infinite Video Streams
(2025)
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Xu et al.
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Oceangym: A Benchmark Environment For Underwater Embodied Agents
(2025)
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Xue et al.
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Dancegrpo: Unleashing GRPO On Visual Generation
(2025)
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Xue et al.
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Audio-flan: A Preliminary Release
(2025)
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Xue et al.
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Simpletir: End-to-end Reinforcement Learning For Multi-turn Tool-integrated Reasoning
(2025)
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Xue et al.
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Recitation Over Reasoning: How Cutting-edge Language Models Can Fail On Elementary School-level Reasoning Problems?
(2025)
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Yan et al.
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MUR: Momentum Uncertainty Guided Reasoning For Large Language Models
(2025)
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Yan et al.
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Machine Mental Imagery: Empower Multimodal Reasoning With Latent Visual Tokens
(2025)
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Yang et al.
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Embodiedbench: Comprehensive Benchmarking Multi-modal Large Language Models For Vision-driven Embodied Agents
(2025)
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Yang et al.
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A Controllable Examination For Long-context Language Models
(2025)
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Yang et al.
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ARIA: Training Language Agents With Intention-driven Reward Aggregation
(2025)
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Yang et al.
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DCPO: Dynamic Clipping Policy Optimization
(2025)
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Yang et al.
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Deepcritic: Deliberate Critique With Large Language Models
(2025)
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Yang et al.
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Kwai Keye-vl 1.5 Technical Report
(2025)
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Yang et al.
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Fine-tuning Done Right In Model Editing
(2025)
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Yang et al.
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Gencompositor: Generative Video Compositing With Diffusion Transformer
(2025)
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Yang et al.
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Learning On The Job: An Experience-driven Self-evolving Agent For Long-horizon Tasks
(2025)
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Yang et al.
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Visionthink: Smart And Efficient Vision Language Model Via Reinforcement Learning
(2025)
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Yang et al.
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Moose-chem2: Exploring LLM Limits In Fine-grained Scientific Hypothesis Discovery Via Hierarchical Search
(2025)
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Yang et al.
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Mindjourney: Test-time Scaling With World Models For Spatial Reasoning
(2025)
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Yang et al.
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Medical World Model: Generative Simulation Of Tumor Evolution For Treatment Planning
(2025)
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Yang et al.
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Mmada: Multimodal Large Diffusion Language Models
(2025)
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Yang et al.
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Qwen3 Technical Report
(2025)
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Yang et al.
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Multiverse: Your Language Models Secretly Decide How To Parallelize And Merge Generation
(2025)
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Yang et al.
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Step Back To Leap Forward: Self-backtracking For Boosting Reasoning Of Language Models
(2025)
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Yang et al.
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Towards Physically Plausible Video Generation Via VLM Planning
(2025)
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Yang et al.
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From What To Why: A Multi-agent System For Evidence-based Chemical Reaction Condition Reasoning
(2025)
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Yang et al.
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Zerogui: Automating Online GUI Learning At Zero Human Cost
(2025)
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Yang et al.
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Optimizing Chain-of-thought Reasoners Via Gradient Variance Minimization In Rejection Sampling And RL
(2025)
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Yao et al.
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Reconstruction Vs. Generation: Taming Optimization Dilemma In Latent Diffusion Models
(2025)
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Jingfeng Yao, Xinggang Wang
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Demystifying Long Chain-of-thought Reasoning In Llms
(2025)
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Yeo et al.
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LIMO: Less Is More For Reasoning
(2025)
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Ye et al.
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Shapellm-omni: A Native Multimodal LLM For 3D Generation And Understanding
(2025)
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Ye et al.
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Llasa: Scaling Train-time And Inference-time Compute For Llama-based Speech Synthesis
(2025)
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Ye et al.
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Seeing From Another Perspective: Evaluating Multi-view Understanding In Mllms
(2025)
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Yeh et al.
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Recgpt Technical Report
(2025)
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Yi et al.
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Visual Representation Alignment For Multimodal Large Language Models
(2025)
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Yoon et al.
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Reasoning Models Better Express Their Confidence
(2025)
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Yoon et al.
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Duoguard: A Two-player Rl-driven Framework For Multilingual LLM Guardrails
(2025)
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Deng et al.
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Essential-web V1.0: 24T Tokens Of Organized Web Data
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Ai et al.
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Competitive Programming With Large Reasoning Models
(2025)
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Openai et al.
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Wan: Open And Advanced Large-scale Video Generative Models
(2025)
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Wanteam et al.
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Phi-4-reasoning Technical Report
(2025)
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Abdin et al.
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Phi-4-mini Technical Report: Compact Yet Powerful Multimodal Language Models Via Mixture-of-loras
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Grokking In The Wild: Data Augmentation For Real-world Multi-hop Reasoning With Transformers
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Language Models' Factuality Depends On The Language Of Inquiry
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
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Fine-grained Perturbation Guidance Via Attention Head Selection
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Sadeed: Advancing Arabic Diacritization Through Small Language Model
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Smollm2: When Smol Goes Big -- Data-centric Training Of A Small Language Model
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Sharing Is Caring: Efficient LM Post-training With Collective RL Experience Sharing
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Llava-onevision-1.5: Fully Open Framework For Democratized Multimodal Training
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Ultraif: Advancing Instruction Following From The Wild
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Surfer-h Meets Holo1: Cost-efficient Web Agent Powered By Open Weights
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Herobench: A Benchmark For Long-horizon Planning And Structured Reasoning In Virtual Worlds
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Block Diffusion: Interpolating Between Autoregressive And Diffusion Language Models
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Personalized Graph-based Retrieval For Large Language Models
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Sketch-of-thought: Efficient LLM Reasoning With Adaptive Cognitive-inspired Sketching
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Towards Best Practices For Open Datasets For LLM Training
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Mixture-of-recursions: Learning Dynamic Recursive Depths For Adaptive Token-level Computation
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Hybrid Architectures For Language Models: Systematic Analysis And Design Insights
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Weak-to-strong Diffusion With Reflection
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Lichen Bai, Masashi Sugiyama, Zeke Xie
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Clinical Knowledge In Llms Does Not Translate To Human Interactions
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ATLAS: Learning To Optimally Memorize The Context At Test Time
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Small Language Models Are The Future Of Agentic AI
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KV Cache Steering For Inducing Reasoning In Small Language Models
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Reflect, Retry, Reward: Self-improving Llms Via Reinforcement Learning
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Reasoning Language Models: A Blueprint
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VERIFY: A Benchmark Of Visual Explanation And Reasoning For Investigating Multimodal Reasoning Fidelity
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When Does Reasoning Matter? A Controlled Study Of Reasoning's Contribution To Model Performance
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Riemannlora: A Unified Riemannian Framework For Ambiguity-free Lora Optimization
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A Data-centric Framework For Addressing Phonetic And Prosodic Challenges In Russian Speech Generative Models
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Neobert: A Next-generation BERT
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Enhancing Vision-language Model Training With Reinforcement Learning In Synthetic Worlds For Real-world Success
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Go-with-the-flow: Motion-controllable Video Diffusion Models Using Real-time Warped Noise
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Microvqa: A Multimodal Reasoning Benchmark For Microscopy-based Scientific Research
(2025)
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MORSE-500: A Programmatically Controllable Video Benchmark To Stress-test Multimodal Reasoning
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Crowdsource, Crawl, Or Generate? Creating SEA-VL, A Multicultural Vision-language Dataset For Southeast Asia
(2025)
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MM-IQ: Benchmarking Human-like Abstraction And Reasoning In Multimodal Models
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Huanqia Cai, Yijun Yang, Winston Hu
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Videocanvas: Unified Video Completion From Arbitrary Spatiotemporal Patches Via In-context Conditioning
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Multi-domain Explainability Of Preferences
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Nitay Calderon, Liat Ein-Dor, Roi Reichart
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Survey On Large Language Model-enhanced Reinforcement Learning: Concept, Taxonomy, And Methods
(2025)
• IEEE Transactions on Neural Networks and Learning Systems
• 43 citations
Cao et al.
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Quartet: Native FP4 Training Can Be Optimal For Large Language Models
(2025)
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Castro et al.
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Webscale-rl: Automated Data Pipeline For Scaling RL Data To Pretraining Levels
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A3: Android Agent Arena For Mobile GUI Agents
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Game-time: Evaluating Temporal Dynamics In Spoken Language Models
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Alayadb: The Data Foundation For Efficient And Effective Long-context LLM Inference
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Advancing Multimodal Reasoning: From Optimized Cold Start To Staged Reinforcement Learning
(2025)
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Sharegpt-4o-image: Aligning Multimodal Models With Gpt-4o-level Image Generation
(2025)
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Minmo: A Multimodal Large Language Model For Seamless Voice Interaction
(2025)
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The Geometry Of LLM Quantization: GPTQ As Babai's Nearest Plane Algorithm
(2025)
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Jiale Chen, Torsten Hoefler, Dan Alistarh
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An Empirical Study Of Gpt-4o Image Generation Capabilities
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Blip3-o: A Family Of Fully Open Unified Multimodal Models-architecture, Training And Dataset
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Browsecomp-plus: A More Fair And Transparent Evaluation Benchmark Of Deep-research Agent
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Code2video: A Code-centric Paradigm For Educational Video Generation
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Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou
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Edit Transfer: Learning Image Editing Via Vision In-context Relations
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Eagle 2.5: Boosting Long-context Post-training For Frontier Vision-language Models
(2025)
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Exploring The Effect Of Reinforcement Learning On Video Understanding: Insights From Seed-bench-r1
(2025)
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Enigmata: Scaling Logical Reasoning In Large Language Models With Synthetic Verifiable Puzzles
(2025)
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ERA: Transforming Vlms Into Embodied Agents Via Embodied Prior Learning And Online Reinforcement Learning
(2025)
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FINEREASON: Evaluating And Improving Llms' Deliberate Reasoning Through Reflective Puzzle Solving
(2025)
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L^2M: Mutual Information Scaling Law For Long-context Language Modeling
(2025)
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GRPO-CARE: Consistency-aware Reinforcement Learning For Multimodal Reasoning
(2025)
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Judgelrm: Large Reasoning Models As A Judge
(2025)
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Livecc: Learning Video LLM With Streaming Speech Transcription At Scale
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Longpo: Long Context Self-evolution Of Large Language Models Through Short-to-long Preference Optimization
(2025)
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SFT Or RL? An Early Investigation Into Training R1-like Reasoning Large Vision-language Models
(2025)
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Retroinfer: A Vector-storage Approach For Scalable Long-context LLM Inference
(2025)
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Parallel Scaling Law For Language Models
(2025)
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Omniinsert: Mask-free Video Insertion Of Any Reference Via Diffusion Transformer Models
(2025)
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Chen et al.
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Moca: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
(2025)
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Multimodal Representation Alignment For Image Generation: Text-image Interleaved Control Is Easier Than You Think
(2025)
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Persona Vectors: Monitoring And Controlling Character Traits In Language Models
(2025)
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RM-R1: Reward Modeling As Reasoning
(2025)
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S^2-guidance: Stochastic Self Guidance For Training-free Enhancement Of Diffusion Models
(2025)
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Scaling Law For Quantization-aware Training
(2025)
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Symbolic Graphics Programming With Large Language Models
(2025)
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Stockbench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
(2025)
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Caparena: Benchmarking And Analyzing Detailed Image Captioning In The LLM Era
(2025)
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Cheng et al.
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Animegamer: Infinite Anime Life Simulation With Next Game State Prediction
(2025)
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SHANKS: Simultaneous Hearing And Thinking For Spoken Language Models
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STITCH: Simultaneous Thinking And Talking With Chunked Reasoning For Spoken Language Models
(2025)
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Chiang et al.
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System Prompt Optimization With Meta-learning
(2025)
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Yumin Choi, Jinheon Baek, Sung Ju Hwang
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Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities For Mllms
(2025)
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Choi et al.
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Metaclip 2: A Worldwide Scaling Recipe
(2025)
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Selfcite: Self-supervised Alignment For Context Attribution In Large Language Models
(2025)
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Chuang et al.
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Unifying Specialized Visual Encoders For Video Language Models
(2025)
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Modifying Large Language Model Post-training For Diverse Creative Writing
(2025)
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Don't Look Only Once: Towards Multimodal Interactive Reasoning With Selective Visual Revisitation
(2025)
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Chung et al.
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Self-forcing++: Towards Minute-scale High-quality Video Generation
(2025)
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Beyond RAG: Task-aware KV Cache Compression For Comprehensive Knowledge Reasoning
(2025)
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Corallo et al.
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Process Reinforcement Through Implicit Rewards
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Lorashop: Training-free Multi-concept Image Generation And Editing With Rectified Flow Transformers
(2025)
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Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag
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CDE: Curiosity-driven Exploration For Efficient Reinforcement Learning In Large Language Models
(2025)
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Dai et al.
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One-minute Video Generation With Test-time Training
(2025)
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Dalal et al.
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Onepiece: Bringing Context Engineering And Reasoning To Industrial Cascade Ranking System
(2025)
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Dai et al.
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Pre-trained Large Language Models Learn Hidden Markov Models In-context
(2025)
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Dai et al.
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Reinforcement Learning For Reasoning In Small Llms: What Works And What Doesn't
(2025)
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Quy-Anh Dang, Chris Ngo
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Security And Privacy Challenges Of Large Language Models: A Survey
(2025)
• ACM Computing Surveys
• 64 citations
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
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Defeating Prompt Injections By Design
(2025)
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Debenedetti et al.
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Flux-reason-6m & Prism-bench: A Million-scale Text-to-image Reasoning Dataset And Comprehensive Benchmark
(2025)
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Fang et al.
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Story2board: A Training-free Approach For Expressive Storyboard Generation
(2025)
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Dinkevich et al.
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Openvlthinker: An Early Exploration To Complex Vision-language Reasoning Via Iterative Self-improvement
(2025)
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Deng et al.
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Exploring The Sustainable Scaling Of AI Dilemma: A Projective Study Of Corporations' AI Environmental Impacts
(2025)
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Desroches et al.
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Sherlock: Self-correcting Reasoning In Vision-language Models
(2025)
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Yi Ding, Ruqi Zhang
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Mm-ifengine: Towards Multimodal Instruction Following
(2025)
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Ding et al.
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Tool-star: Empowering Llm-brained Multi-tool Reasoner Via Reinforcement Learning
(2025)
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Dong et al.
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Reinforcement Pre-training
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Dong et al.
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Mmtok: Multimodal Coverage Maximization For Efficient Inference Of Vlms
(2025)
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Dong et al.
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Machinelearninglm: Continued Pretraining Language Models On Millions Of Synthetic Tabular Prediction Tasks Scales In-context ML
(2025)
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Dong et al.
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Agentic Reinforced Policy Optimization
(2025)
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Dong et al.
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Streaming Diloco With Overlapping Communication: Towards A Distributed Free Lunch
(2025)
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Douillard et al.
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Which Heads Matter For Reasoning? Rl-guided KV Cache Compression
(2025)
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Du et al.
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MM-PRM: Enhancing Multimodal Mathematical Reasoning With Scalable Step-level Supervision
(2025)
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Du et al.
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Virgo: A Preliminary Exploration On Reproducing O1-like MLLM
(2025)
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Du et al.
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Motionsight: Boosting Fine-grained Motion Understanding In Multimodal Llms
(2025)
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Du et al.
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Creation-mmbench: Assessing Context-aware Creative Intelligence In MLLM
(2025)
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Fang et al.
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Mind-the-glitch: Visual Correspondence For Detecting Inconsistencies In Subject-driven Generation
(2025)
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Eldesokey et al.
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Moderngbert: German-only 1B Encoder Model Trained From Scratch
(2025)
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Ehrmanntraut et al.
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MMTEB: Massive Multilingual Text Embedding Benchmark
(2025)
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Enevoldsen et al.
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A Comprehensive Survey Of Self-evolving AI Agents: A New Paradigm Bridging Foundation Models And Lifelong Agentic Systems
(2025)
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Fang et al.
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Make Lora Great Again: Boosting Lora With Adaptive Singular Values And Mixture-of-experts Optimization Alignment
(2025)
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Fan et al.
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SSRL: Self-search Reinforcement Learning
(2025)
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Fan et al.
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Cognitive Kernel-pro: A Framework For Deep Research Agents And Agent Foundation Models Training
(2025)
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Fang et al.
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Artificial Hippocampus Networks For Efficient Long-context Modeling
(2025)
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Fang et al.
-
Memp: Exploring Agent Procedural Memory
(2025)
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Fang et al.
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Llama-omni2: Llm-based Real-time Spoken Chatbot With Autoregressive Streaming Speech Synthesis
(2025)
• No Venue
Fang et al.
-
A Multi-modal AI Copilot For Single-cell Analysis With Instruction Following
(2025)
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Fang et al.
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Thinkless: LLM Learns When To Think
(2025)
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Gongfan Fang, Xinyin Ma, Xinchao Wang
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Towards General Agentic Intelligence Via Environment Scaling
(2025)
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Fang et al.
-
Can Mllms Guide Me Home? A Benchmark Study On Fine-grained Visual Reasoning From Transit Maps
(2025)
• No Venue
Feng et al.
-
Efficient Reasoning Models: A Survey
(2025)
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Feng et al.
-
Video-r1: Reinforcing Video Reasoning In Mllms
(2025)
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Feng et al.
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Reactive Transformer (rxt) -- Stateful Real-time Processing For Event-driven Reactive Language Models
(2025)
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Adam Filipek
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Deep Think With Confidence
(2025)
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Fu et al.
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Areal: A Large-scale Asynchronous Reinforcement Learning System For Language Reasoning
(2025)
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Fu et al.
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Cache-to-cache: Direct Semantic Communication Between Large Language Models
(2025)
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Fu et al.
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VITA-1.5: Towards Gpt-4o Level Real-time Vision And Speech Interaction
(2025)
• No Venue
Fu et al.
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Multiple Choice Questions: Reasoning Makes Large Language Models (llms) More Self-confident Even When They Are Wrong
(2025)
• No Venue
Fu et al.
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R2R: Efficiently Navigating Divergent Reasoning Paths With Small-large Model Token Routing
(2025)
• No Venue
Fu et al.
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I Have Covered All The Bases Here: Interpreting Reasoning Features In Large Language Models Via Sparse Autoencoders
(2025)
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Galichin et al.
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Listener-rewarded Thinking In Vlms For Image Preferences
(2025)
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Gambashidze et al.
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Cognitive Behaviors That Enable Self-improving Reasoners, Or, Four Habits Of Highly Effective Stars
(2025)
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Gandhi et al.
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Sliderspace: Decomposing The Visual Capabilities Of Diffusion Models
(2025)
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Gandikota et al.
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Agentscope 1.0: A Developer-centric Framework For Building Agentic Applications
(2025)
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Gao et al.
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The Aloe Family Recipe For Open And Specialized Healthcare Llms
(2025)
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Garcia-Gasulla et al.
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Imperceptible Jailbreaking Against Large Language Models
(2025)
• No Venue
Gao et al.
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Do Vision-language Models Have Internal World Models? Towards An Atomic Evaluation
(2025)
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Gao et al.
-
Could Thinking Multilingually Empower LLM Reasoning?
(2025)
• No Venue
Gao et al.
-
D-AR: Diffusion Via Autoregressive Models
(2025)
• No Venue
Ziteng Gao, Mike Zheng Shou
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Pixels, Patterns, But No Poetry: To See The World Like Humans
(2025)
• No Venue
Gao et al.
-
A Strategic Coordination Framework Of Small Llms Matches Large Llms In Data Synthesis
(2025)
• No Venue
Gao et al.
-
A Survey Of Self-evolving Agents: On Path To Artificial Super Intelligence
(2025)
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Gao et al.
-
Set Block Decoding Is A Language Model Inference Accelerator
(2025)
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Gat et al.
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Intuitive Physics Understanding Emerges From Self-supervised Pretraining On Natural Videos
(2025)
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Garrido et al.
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A Survey Of Vibe Coding With Large Language Models
(2025)
• No Venue
Ge et al.
-
R&B: Domain Regrouping And Data Mixture Balancing For Efficient Foundation Model Training
(2025)
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Ge et al.
-
Centurio: On Drivers Of Multilingual Ability Of Large Vision-language Model
(2025)
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Geigle et al.
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Inside-out: Hidden Factual Knowledge In Llms
(2025)
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Gekhman et al.
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X-omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again
(2025)
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Geng et al.
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Beyond Transcription: Mechanistic Interpretability In ASR
(2025)
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Glazer et al.
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Great Models Think Alike And This Undermines AI Oversight
(2025)
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Goel et al.
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Seedream 2.0: A Native Chinese-english Bilingual Image Generation Foundation Model
(2025)
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Gong et al.
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Training Long-context, Multi-turn Software Engineering Agents With Reinforcement Learning
(2025)
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Golubev et al.
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Diffucoder: Understanding And Improving Masked Diffusion Models For Code Generation
(2025)
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Gong et al.
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Deeprag: Thinking To Retrieval Step By Step For Large Language Models
(2025)
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Guan et al.
-
Mind2web 2: Evaluating Agentic Search With Agent-as-a-judge
(2025)
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Gou et al.
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Lment: A Suite For Analyzing Knowledge In Language Models From Pretraining Data To Representations
(2025)
• No Venue
Gottesman et al.
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Diffusion As Shader: 3d-aware Video Diffusion For Versatile Video Generation Control
(2025)
• No Venue
Gu et al.
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Breaking The Modality Barrier: Universal Embedding Learning With Multimodal Llms
(2025)
• No Venue
Gu et al.
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Long-context Autoregressive Video Modeling With Next-frame Prediction
(2025)
• No Venue
Yuchao Gu, Weijia Mao, Mike Zheng Shou
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Rstar-math: Small Llms Can Master Math Reasoning With Self-evolved Deep Thinking
(2025)
• No Venue
Guan et al.
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Textarena
(2025)
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Guertler et al.
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Latcoder: Converting Webpage Design To Code With Layout-as-thought
(2025)
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Gui et al.
-
ACADREASON: Exploring The Limits Of Reasoning Models With Academic Research Problems
(2025)
• No Venue
Gui et al.
-
Random Policy Valuation Is Enough For LLM Reasoning With Verifiable Rewards
(2025)
• No Venue
He et al.
-
Fasta^*: Fast-slow Toolpath Agent With Subroutine Mining For Efficient Multi-turn Image Editing
(2025)
• No Venue
Gupta et al.
-
Swe-factory: Your Automated Factory For Issue Resolution Training Data And Evaluation Benchmarks
(2025)
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Guo et al.
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Audiostory: Generating Long-form Narrative Audio With Large Language Models
(2025)
• No Venue
Guo et al.
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Reward Reasoning Model
(2025)
• No Venue
Guo et al.
-
Costaast: Cost-sensitive Toolpath Agent For Multi-turn Image Editing
(2025)
• No Venue
Gupta et al.
-
Tree-based Dialogue Reinforced Policy Optimization For Red-teaming Attacks
(2025)
• No Venue
Guo et al.
-
Train Long, Think Short: Curriculum Learning For Efficient Reasoning
(2025)
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Hammoud et al.
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Beyond Recognition: Evaluating Visual Perspective Taking In Vision Language Models
(2025)
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Góral et al.
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Beyond The Last Answer: Your Reasoning Trace Uncovers More Than You Think
(2025)
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Hasan Abed Al Kader Hammoud, Hani Itani, Bernard Ghanem
-
Learning To See Before Seeing: Demystifying LLM Visual Priors From Language Pre-training
(2025)
• No Venue
Han et al.
-
Deep Researcher With Test-time Diffusion
(2025)
• No Venue
Han et al.
-
Mdocagent: A Multi-modal Multi-agent Framework For Document Understanding
(2025)
• No Venue
Han et al.
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Learnings From Scaling Visual Tokenizers For Reconstruction And Generation
(2025)
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Hansen-Estruch et al.
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MAGA: Massive Genre-audience Reformulation To Pretraining Corpus Expansion
(2025)
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Xintong Hao, Ke Shen, Chenggang Li
-
Protoreasoning: Prototypes As The Foundation For Generalizable Reasoning In Llms
(2025)
• No Venue
He et al.
-
Don't Overthink It. Preferring Shorter Thinking Chains For Improved LLM Reasoning
(2025)
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Hassid et al.
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Pasa: An LLM Agent For Comprehensive Academic Paper Search
(2025)
• No Venue
He et al.
-
Can Large Language Models Detect Errors In Long Chain-of-thought Reasoning?
(2025)
• No Venue
He et al.
-
Swe-perf: Can Language Models Optimize Code Performance On Real-world Repositories?
(2025)
• No Venue
He et al.
-
Skywork Open Reasoner 1 Technical Report
(2025)
• No Venue
He et al.
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A Survey Of Large Language Models For Healthcare: From Data, Technology, And Applications To Accountability And Ethics
(2025)
• Information Fusion
• 55 citations
He et al.
-
CASS: Nvidia To AMD Transpilation With Data, Models, And Benchmark
(2025)
• No Venue
Heakl et al.
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Dr.llm: Dynamic Layer Routing In Llms
(2025)
• No Venue
Heakl et al.
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Mutarjim: Advancing Bidirectional Arabic-english Translation With A Small Language Model
(2025)
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Hennara et al.
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Baseer: A Vision-language Model For Arabic Document-to-markdown OCR
(2025)
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Hennara et al.
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A Sober Look At Progress In Language Model Reasoning: Pitfalls And Paths To Reproducibility
(2025)
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Hochlehnert et al.
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Motionbench: Benchmarking And Improving Fine-grained Video Motion Understanding For Vision Language Models
(2025)
• No Venue
Hong et al.
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Xolver: Multi-agent Reasoning With Holistic Experience Learning Just Like An Olympiad Team
(2025)
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Hosain et al.
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Charting And Navigating Hugging Face's Model Atlas
(2025)
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Horwitz et al.
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Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability Of LLM Reasoning
(2025)
• No Venue
Huan et al.
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Group Think: Multiple Concurrent Reasoning Agents Collaborating At Token Level Granularity
(2025)
• No Venue
Hsu et al.
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The Imitation Game: Turing Machine Imitator Is Length Generalizable Reasoner
(2025)
• No Venue
Hua et al.
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See, Point, Fly: A Learning-free VLM Framework For Universal Unmanned Aerial Navigation
(2025)
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Hu et al.
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REINFORCE++: A Simple And Efficient Approach For Aligning Large Language Models
(2025)
• No Venue
Jian Hu
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Image Editing As Programs With Diffusion Models
(2025)
• No Venue
Hu et al.
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Spectrum Projection Score: Aligning Retrieved Summaries With Reader Models In Retrieval-augmented Generation
(2025)
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Hu et al.
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A Survey Of Scientific Large Language Models: From Data Foundations To Agent Frontiers
(2025)
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Hu et al.
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Benchmax: A Comprehensive Multilingual Evaluation Suite For Large Language Models
(2025)
• No Venue
Huang et al.
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On The Trustworthiness Of Generative Foundation Models: Guideline, Assessment, And Perspective
(2025)
• No Venue
Huang et al.
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Qerl: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning For Llms
(2025)
• No Venue
Huang et al.
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Low-probability Tokens Sustain Exploration In Reinforcement Learning With Verifiable Reward
(2025)
• No Venue
Huang et al.
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Loong: Synthesize Long Chain-of-thoughts At Scale Through Verifiers
(2025)
• No Venue
Huang et al.
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Over-tokenized Transformer: Vocabulary Is Generally Worth Scaling
(2025)
• No Venue
Huang et al.
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Ming-univision: Joint Image Understanding And Generation With A Unified Continuous Tokenizer
(2025)
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Huang et al.
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O1 Replication Journey -- Part 3: Inference-time Scaling For Medical Reasoning
(2025)
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Huang et al.
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R-zero: Self-evolving Reasoning LLM From Zero Data
(2025)
• No Venue
Huang et al.
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Spotlight On Token Perception For Multimodal Reinforcement Learning
(2025)
• No Venue
Huang et al.
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A Survey On Hallucination In Large Language Models: Principles, Taxonomy, Challenges, And Open Questions
(2025)
• ACM Transactions on Information Systems
• 504 citations
Huang et al.
-
Vistadpo: Video Hierarchical Spatial-temporal Direct Preference Optimization For Large Video Models
(2025)
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Huang et al.
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Vision-r1: Incentivizing Reasoning Capability In Multimodal Large Language Models
(2025)
• No Venue
Huang et al.
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Wikipedia In The Era Of Llms: Evolution And Risks
(2025)
• No Venue
Huang et al.
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BIRD-INTERACT: Re-imagining Text-to-sql Evaluation For Large Language Models Via Lens Of Dynamic Interactions
(2025)
• No Venue
Huo et al.
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Multi-granular Spatio-temporal Token Merging For Training-free Acceleration Of Video Llms
(2025)
• No Venue
Hyun et al.
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Dynamic Chunking For End-to-end Hierarchical Sequence Modeling
(2025)
• No Venue
Sukjun Hwang, Brandon Wang, Albert Gu
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Continuous Diffusion Model For Language Modeling
(2025)
• No Venue
Jaehyeong Jo, Sung Ju Hwang
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The African Languages Lab: A Collaborative Approach To Advancing Low-resource African NLP
(2025)
• No Venue
Issaka et al.
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CODESIM: Multi-agent Code Generation And Problem Solving Through Simulation-driven Planning And Debugging
(2025)
• No Venue
Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
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Ambik: Dataset Of Ambiguous Tasks In Kitchen Environment
(2025)
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Ivanova et al.
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Sentinel: SOTA Model To Protect Against Prompt Injections
(2025)
• No Venue
Dror Ivry, Oran Nahum
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Reasoning Model Is Stubborn: Diagnosing Instruction Overriding In Reasoning Models
(2025)
• No Venue
Jang et al.
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Silent Branding Attack: Trigger-free Data Poisoning Attack On Text-to-image Diffusion Models
(2025)
• No Venue
Jang et al.
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Upsample What Matters: Region-adaptive Latent Sampling For Accelerated Diffusion Transformers
(2025)
• No Venue
Jeong et al.
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Videorag: Retrieval-augmented Generation Over Video Corpus
(2025)
• No Venue
Jeong et al.
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When Thoughts Meet Facts: Reusable Reasoning For Long-context Lms
(2025)
• No Venue
Jeong et al.
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Omnispatial: Towards Comprehensive Spatial Reasoning Benchmark For Vision Language Models
(2025)
• No Venue
Jia et al.
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Tree Search For LLM Agent Reinforcement Learning
(2025)
• No Venue
Ji et al.
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Visualwebinstruct: Scaling Up Multimodal Instruction Data Through Web Search
(2025)
• No Venue
Jia et al.
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CSVQA: A Chinese Multimodal Benchmark For Evaluating STEM Reasoning Capabilities Of Vlms
(2025)
• No Venue
Jian et al.
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VCRL: Variance-based Curriculum Reinforcement Learning For Large Language Models
(2025)
• No Venue
Jiang et al.
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Alphadrive: Unleashing The Power Of Vlms In Autonomous Driving Via Reinforcement Learning And Reasoning
(2025)
• No Venue
Jiang et al.
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Are Today's Llms Ready To Explain Well-being Concepts?
(2025)
• No Venue
Jiang et al.
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Feedback Friction: Llms Struggle To Fully Incorporate External Feedback
(2025)
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Jiang et al.
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R-4B: Incentivizing General-purpose Auto-thinking Capability In Mllms Via Bi-mode Annealing And Reinforce Learning
(2025)
• No Venue
Jiang et al.
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Mme-cot: Benchmarking Chain-of-thought In Large Multimodal Models For Reasoning Quality, Robustness, And Efficiency
(2025)
• No Venue
Jiang et al.
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Omnihuman-1.5: Instilling An Active Mind In Avatars Via Cognitive Simulation
(2025)
• No Venue
Jiang et al.
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Token-efficient Long Video Understanding For Multimodal Llms
(2025)
• No Venue
Jiang et al.
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T2I-R1: Reinforcing Image Generation With Collaborative Semantic-level And Token-level Cot
(2025)
• No Venue
Jiang et al.
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S2s-arena, Evaluating Speech2speech Protocols On Instruction Following With Paralinguistic Information
(2025)
• No Venue
Jiang et al.
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Screencoder: Advancing Visual-to-code Generation For Front-end Automation Via Modular Multimodal Agents
(2025)
• No Venue
Jiang et al.
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Think Only When You Need With Large Hybrid-reasoning Models
(2025)
• No Venue
Jiang et al.
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Search-r1: Training Llms To Reason And Leverage Search Engines With Reinforcement Learning
(2025)
• No Venue
Jin et al.
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Gralora: Granular Low-rank Adaptation For Parameter-efficient Fine-tuning
(2025)
• No Venue
Jung et al.
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Is That Your Final Answer? Test-time Scaling Improves Selective Question Answering
(2025)
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William Jurayj, Jeffrey Cheng, Benjamin van Durme
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Why Language Models Hallucinate
(2025)
• No Venue
Kalai et al.
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The Common Pile V0.1: An 8TB Dataset Of Public Domain And Openly Licensed Text
(2025)
• No Venue
Kandpal et al.
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VIKI-R: Coordinating Embodied Multi-agent Cooperation Via Reinforcement Learning
(2025)
• No Venue
Kang et al.
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Distilling LLM Agent Into Small Models With Retrieval And Code Tools
(2025)
• No Venue
Kang et al.
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ACON: Optimizing Context Compression For Long-horizon LLM Agents
(2025)
• No Venue
Kang et al.
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T1: Tool-integrated Self-verification For Test-time Compute Scaling In Small Language Models
(2025)
• No Venue
Minki Kang, Jongwon Jeong, Jaewoong Cho
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First Try Matters: Revisiting The Role Of Reflection In Reasoning Models
(2025)
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Kang et al.
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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.
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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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Marigold: Affordable Adaptation Of Diffusion-based Image Generators For Image Analysis
(2025)
• No Venue
Ke et al.
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LINGOLY-TOO: Disentangling Memorisation From Reasoning With Linguistic Templatisation And Orthographic Obfuscation
(2025)
• No Venue
Khouja et al.
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Meta-awareness Enhances Reasoning Models: Self-alignment Reinforcement Learning
(2025)
• No Venue
Yoonjeon Kim, Doohyuk Jang, Eunho Yang
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Inference-time Scaling For Flow Models Via Stochastic Generation And Rollover Budget Forcing
(2025)
• No Venue
Kim et al.
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Curie: Toward Rigorous And Automated Scientific Experimentation With AI Agents
(2025)
• No Venue
Kon et al.
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Universal Reasoner: A Single, Composable Plug-and-play Reasoner For Frozen Llms
(2025)
• No Venue
Kim et al.
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Temporal In-context Fine-tuning For Versatile Control Of Video Diffusion Models
(2025)
• No Venue
Kinam Kim, Junha Hyung, Jaegul Choo
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PLADIS: Pushing The Limits Of Attention In Diffusion Models At Inference Time By Leveraging Sparsity
(2025)
• No Venue
Kwanyoung Kim, Byeongsu Sim
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Robot-r1: Reinforcement Learning For Enhanced Embodied Reasoning In Robotics
(2025)
• No Venue
Kim et al.
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Toward Evaluative Thinking: Meta Policy Optimization With Evolving Reward Models
(2025)
• No Venue
Kim et al.
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Distillm-2: A Contrastive Approach Boosts The Distillation Of Llms
(2025)
• No Venue
Ko et al.
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Flex-judge: Think Once, Judge Anywhere
(2025)
• No Venue
Ko et al.
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Cadrille: Multi-modal CAD Reconstruction With Online Reinforcement Learning
(2025)
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Kolodiazhnyi et al.
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Streamdit: Real-time Streaming Text-to-video Generation
(2025)
• No Venue
Kodaira et al.
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SDPO: Segment-level Direct Preference Optimization For Social Agents
(2025)
• No Venue
Kong et al.
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Heeding The Inner Voice: Aligning Controlnet Training Via Intermediate Features Feedback
(2025)
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Konovalova et al.
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The Dragon Hatchling: The Missing Link Between The Transformer And Models Of The Brain
(2025)
• No Venue
Kosowski et al.
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Piper: On-device Environment Setup Via Online Reinforcement Learning
(2025)
• No Venue
Kovrigin et al.
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Language Self-play For Data-free Training
(2025)
• No Venue
Kuba et al.
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From Scores To Skills: A Cognitive Diagnosis Framework For Evaluating Financial Large Language Models
(2025)
• No Venue
Kuang et al.
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Theoremexplainagent: Towards Multimodal Explanations For LLM Theorem Understanding
(2025)
• No Venue
Ku et al.
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Zclip: Adaptive Spike Mitigation For LLM Pre-training
(2025)
• No Venue
Kumar et al.
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Cramming 1568 Tokens Into A Single Vector And Back Again: Exploring The Limits Of Embedding Space Capacity
(2025)
• No Venue
Kuratov et al.
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Nohumansrequired: Autonomous High-quality Image Editing Triplet Mining
(2025)
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Kuprashevich et al.
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Train Sparse Autoencoders Efficiently By Utilizing Features Correlation
(2025)
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Kurochkin et al.
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Feature-level Insights Into Artificial Text Detection With Sparse Autoencoders
(2025)
• No Venue
Kuznetsov et al.
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Embodied Agents Meet Personalization: Exploring Memory Utilization For Personalized Assistance
(2025)
• No Venue
Kwon et al.
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Making Mathematical Reasoning Adaptive
(2025)
• No Venue
Lai et al.
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Experience Is The Best Teacher: Grounding Vlms For Robotics Through Self-generated Memory
(2025)
• No Venue
Lan et al.
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Analyze Feature Flow To Enhance Interpretation And Steering In Language Models
(2025)
• No Venue
Laptev et al.
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No Prompt Left Behind: Exploiting Zero-variance Prompts In LLM Reinforcement Learning Via Entropy-guided Advantage Shaping
(2025)
• No Venue
Le et al.
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Evolving Deeper LLM Thinking
(2025)
• No Venue
Lee et al.
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The Cot Encyclopedia: Analyzing, Predicting, And Controlling How A Reasoning Model Will Think
(2025)
• No Venue
Lee et al.
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Perspective-aware Reasoning In Vision-language Models Via Mental Imagery Simulation
(2025)
• No Venue
Lee et al.
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Genrecal: Generation After Recalibration From Large To Small Vision-language Models
(2025)
• No Venue
Lee et al.
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Fedsvd: Adaptive Orthogonalization For Private Federated Learning With Lora
(2025)
• No Venue
Lee et al.
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Infinitehip: Extending Language Model Context Up To 3 Million Tokens On A Single GPU
(2025)
• No Venue
Lee et al.
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Saferoute: Adaptive Model Selection For Efficient And Accurate Safety Guardrails In Large Language Models
(2025)
• No Venue
Lee et al.
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Rethinking Reward Models For Multi-domain Test-time Scaling
(2025)
• No Venue
Lee et al.
-
REPA-E: Unlocking VAE For End-to-end Tuning With Latent Diffusion Transformers
(2025)
• No Venue
Leng et al.
-
MANZANO: A Simple And Scalable Unified Multimodal Model With A Hybrid Vision Tokenizer
(2025)
• No Venue
Li et al.
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Lost In Embeddings: Information Loss In 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.
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Codei/o: Condensing Reasoning Patterns Via Code Input-output Prediction
(2025)
• No Venue
Li et al.
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Attention Illuminates LLM Reasoning: The Preplan-and-anchor Rhythm Enables Fine-grained Policy Optimization
(2025)
• No Venue
Li et al.
-
4D Langsplat: 4D Language Gaussian Splatting Via Multimodal Large Language Models
(2025)
• No Venue
Li et al.
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Aligning Latent Spaces With Flow Priors
(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.
-
C3PO: Critical-layer, Core-expert, Collaborative Pathway Optimization For Test-time Expert Re-mixing
(2025)
• No Venue
Zhongyang Li, Ziyue Li, Tianyi Zhou
-
Diffusion Language Models Know The Answer Before Decoding
(2025)
• No Venue
Li et al.
-
Confidence Is All You Need: Few-shot RL Fine-tuning Of Language Models
(2025)
• No Venue
Li et al.
-
CUDA-L1: Improving CUDA Optimization Via Contrastive Reinforcement Learning
(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
-
Implicit Actor Critic Coupling Via A Supervised Learning Framework For RLVR
(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.
-
In-the-flow Agentic System Optimization For Effective Planning And Tool Use
(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.
-
Knapsack RL: Unlocking Exploration Of Llms Via Optimizing Budget Allocation
(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.
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Jointly Reinforcing Diversity And Quality In Language Model Generations
(2025)
• No Venue
Li et al.
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Spatial Forcing: Implicit Spatial Representation Alignment For Vision-language-action Model
(2025)
• No Venue
Li et al.
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Radial Attention: O(nlog N) Sparse Attention With Energy Decay For Long Video Generation
(2025)
• No Venue
Li et al.
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Optimus-3: Towards Generalist Multimodal Minecraft Agents With Scalable Task Experts
(2025)
• No Venue
Li et al.
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Model Merging In Pre-training Of Large Language Models
(2025)
• No Venue
Li et al.
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Miromind-m1: An Open-source Advancement In Mathematical Reasoning Via Context-aware Multi-stage Policy Optimization
(2025)
• No Venue
Li et al.
-
Memos: A Memory OS For AI System
(2025)
• No Venue
Li et al.
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Migician: Revealing The Magic Of Free-form Multi-image Grounding In Multimodal Large Language Models
(2025)
• No Venue
Li et al.
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MITS: Enhanced Tree Search Reasoning For Llms Via Pointwise Mutual Information
(2025)
• No Venue
Li et al.
-
Mol-r1: Towards Explicit Long-cot Reasoning In Molecule Discovery
(2025)
• No Venue
Li et al.
-
Omnivideobench: Towards Audio-visual Understanding Evaluation For Omni Mllms
(2025)
• No Venue
Li et al.
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R2-T2: Re-routing In Test-time For Multimodal Mixture-of-experts
(2025)
• No Venue
Zhongyang Li, Ziyue Li, Tianyi Zhou
-
Preference Leakage: A Contamination Problem In Llm-as-a-judge
(2025)
• No Venue
Li et al.
-
Perception, Reason, Think, And Plan: A Survey On Large Multimodal Reasoning Models
(2025)
• No Venue
Li et al.
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PRIMA.CPP: Speeding Up 70b-scale LLM Inference On Low-resource Everyday Home Clusters
(2025)
• No Venue
Li et al.
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Sos1: O1 And R1-like Reasoning Llms Are Sum-of-square Solvers
(2025)
• No Venue
Li et al.
-
Self-rewarding Vision-language Model Via Reasoning Decomposition
(2025)
• No Venue
Li et al.
-
S*: Test Time Scaling For Code Generation
(2025)
• No Venue
Li et al.
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Seek In The Dark: Reasoning Via Test-time Instance-level Policy Gradient In Latent Space
(2025)
• No Venue
Li et al.
-
Small Models Struggle To Learn From Strong Reasoners
(2025)
• No Venue
Li et al.
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Skip A Layer Or Loop It? Test-time Depth Adaptation Of Pretrained Llms
(2025)
• No Venue
Ziyue Li, Yang Li, Tianyi Zhou
-
Towards Agentic RAG With Deep Reasoning: A Survey Of Rag-reasoning Systems In Llms
(2025)
• No Venue
Li et al.
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Taming Llms By Scaling Learning Rates With Gradient Grouping
(2025)
• No Venue
Li et al.
-
A Survey On Diffusion Language Models
(2025)
• No Venue
Li et al.
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Staying In The Sweet Spot: Responsive Reasoning Evolution Via Capability-adaptive Hint Scaffolding
(2025)
• No Venue
Li et al.
-
SWE-SQL: Illuminating LLM Pathways To Solve User SQL Issues In Real-world Applications
(2025)
• No Venue
Li et al.
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Test-time Preference Optimization: On-the-fly Alignment Via Iterative Textual Feedback
(2025)
• No Venue
Li et al.
-
Tempsamp-r1: Effective Temporal Sampling With Reinforcement Fine-tuning For Video Llms
(2025)
• No Venue
Li et al.
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Veripo: Cultivating Long Reasoning In Video-llms Via Verifier-gudied Iterative Policy Optimization
(2025)
• No Venue
Li et al.
-
Transmamba: Flexibly Switching Between Transformer And Mamba
(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.
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Truth In The Few: High-value Data Selection For Efficient Multi-modal Reasoning
(2025)
• No Venue
Li et al.
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Describe Anything: Detailed Localized Image And Video Captioning
(2025)
• No Venue
Lian et al.
-
A.S.E: A Repository-level Benchmark For Evaluating Security In Ai-generated Code
(2025)
• No Venue
Lian et al.
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Colorbench: Can Vlms See And Understand The Colorful World? A Comprehensive Benchmark For Color Perception, Reasoning, And Robustness
(2025)
• No Venue
Liang et al.
-
Beyond Pass@1: Self-play With Variational Problem Synthesis Sustains RLVR
(2025)
• No Venue
Liang et al.
-
SEAP: Training-free Sparse Expert Activation Pruning Unlock The Brainpower Of Large Language Models
(2025)
• No Venue
Liang et al.
-
Modomodo: Multi-domain Data Mixtures For Multimodal LLM Reinforcement Learning
(2025)
• No Venue
Liang et al.
-
Drag-and-drop Llms: Zero-shot Prompt-to-weights
(2025)
• No Venue
Liang et al.
-
Saferag: Benchmarking Security In Retrieval-augmented Generation Of Large Language Model
(2025)
• No Venue
Liang et al.
-
Surveyx: Academic Survey Automation Via Large Language Models
(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.
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Multimodal Mamba: Decoder-only Multimodal State Space Model Via Quadratic To Linear Distillation
(2025)
• No Venue
Liao et al.
-
Fractured Chain-of-thought Reasoning
(2025)
• No Venue
Liao et al.
-
Improved Visual-spatial Reasoning Via R1-zero-like Training
(2025)
• No Venue
Liao et al.
-
Reward-guided Speculative Decoding For Efficient LLM Reasoning
(2025)
• No Venue
Liao et al.
-
URECA: Unique Region Caption Anything
(2025)
• No Venue
Lim et al.
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Ost-bench: Evaluating The Capabilities Of Mllms In Online Spatio-temporal Scene Understanding
(2025)
• No Venue
Lin et al.
-
Embrace-3k: Embodied Reasoning And Action In Complex Environments
(2025)
• No Venue
Lin et al.
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Metaladder: Ascending Mathematical Solution Quality Via Analogical-problem Reasoning Transfer
(2025)
• No Venue
Lin et al.
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Implicit Reasoning In Transformers Is Reasoning Through Shortcuts
(2025)
• No Venue
Lin et al.
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Understanding Tool-integrated Reasoning
(2025)
• No Venue
Heng Lin, Zhongwen Xu
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Sigma: Differential Rescaling Of Query, Key And Value For Efficient Language Models
(2025)
• No Venue
Lin et al.
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Quantization Meets Dllms: A Systematic Study Of Post-training Quantization For Diffusion Llms
(2025)
• No Venue
Lin et al.
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Self-supervised Quantized Representation For Seamlessly Integrating Knowledge Graphs With Large Language Models
(2025)
• No Venue
Lin et al.
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Towards Understanding Camera Motions In Any Video
(2025)
• No Venue
Lin et al.
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Uniworld: High-resolution Semantic Encoders For Unified Visual Understanding And Generation
(2025)
• No Venue
Lin et al.
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BIOMEDICA: An Open Biomedical Image-caption Archive, Dataset, And Vision-language Models Derived From Scientific Literature
(2025)
• No Venue
Lozano et al.
-
Llm-powered GUI Agents In Phone Automation: Surveying Progress And Prospects
(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.
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A Comprehensive Survey On Long Context Language Modeling
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Compassverifier: A Unified And Robust Verifier For Llms Evaluation And Outcome Reward
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Advances And Challenges In Foundation Agents: From Brain-inspired Intelligence To Evolutionary, Collaborative, And Safe Systems
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Can 1B LLM Surpass 405B LLM? Rethinking Compute-optimal Test-time Scaling
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GEM: A Gym For Agentic Llms
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Fin-r1: A Large Language Model For Financial Reasoning Through Reinforcement Learning
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Deciphering Trajectory-aided LLM Reasoning: An Optimization Perspective
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Efficient Medical VIE Via Reinforcement Learning
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Gear: Generation Augmented Retrieval
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FUSION: Fully Integration Of Vision-language Representations For Deep Cross-modal Understanding
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Infigui-g1: Advancing GUI Grounding With Adaptive Exploration Policy Optimization
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Inference-time Scaling For Generalist Reward Modeling
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Infiguiagent: A Multimodal Generalist GUI Agent With Native Reasoning And Reflection
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Sequential Diffusion Language Models
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Points-reader: Distillation-free Adaptation Of Vision-language Models For Document Conversion
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Longllada: Unlocking Long Context Capabilities In Diffusion Llms
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Logical Reasoning In Large Language Models: A Survey
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Longemotion: Measuring Emotional Intelligence Of Large Language Models In Long-context Interaction
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Mcpeval: Automatic Mcp-based Deep Evaluation For AI Agent Models
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Olmotrace: Tracing Language Model Outputs Back To Trillions Of Training Tokens
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New Trends For Modern Machine Translation With Large Reasoning Models
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Ola: Pushing The Frontiers Of Omni-modal Language Model With Progressive Modality Alignment
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Othink-mr1: Stimulating Multimodal Generalized Reasoning Capabilities Via Dynamic Reinforcement Learning
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Pairwise RM: Perform Best-of-n Sampling With Knockout Tournament
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Scalecua: Scaling Open-source Computer Use Agents With Cross-platform Data
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Region-adaptive Sampling For Diffusion Transformers
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Quantization Hurts Reasoning? An Empirical Study On Quantized Reasoning Models
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Prorl: Prolonged Reinforcement Learning Expands Reasoning Boundaries In Large Language Models
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Quadmix: Quality-diversity Balanced Data Selection For Efficient LLM Pretraining
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Rstar-coder: Scaling Competitive Code Reasoning With A Large-scale Verified Dataset
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Researchbench: Benchmarking Llms In Scientific Discovery Via Inspiration-based Task Decomposition
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Visual Agentic Reinforcement Fine-tuning
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Taking Notes Brings Focus? Towards Multi-turn Multimodal Dialogue Learning
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Shifting AI Efficiency From Model-centric To Data-centric Compression
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Shotbench: Expert-level Cinematic Understanding In Vision-language Models
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Skywork-reward-v2: Scaling Preference Data Curation Via Human-ai Synergy
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Synlogic: Synthesizing Verifiable Reasoning Data At Scale For Learning Logical Reasoning And Beyond
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SPIRAL: Self-play On Zero-sum Games Incentivizes Reasoning Via Multi-agent Multi-turn Reinforcement Learning
(2025)
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Videoreasonbench: Can Mllms Perform Vision-centric Complex Video Reasoning?
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Thus Spake Long-context Large Language Model
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Video-t1: Test-time Scaling For Video Generation
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Webexplorer: Explore And Evolve For Training Long-horizon Web Agents
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Adacot: Pareto-optimal Adaptive Chain-of-thought Triggering Via Reinforcement Learning
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Bizfinbench: A Business-driven Real-world Financial Benchmark For Evaluating Llms
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Elv-halluc: Benchmarking Semantic Aggregation Hallucinations In Long Video Understanding
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Webgen-agent: Enhancing Interactive Website Generation With Multi-level Feedback And Step-level Reinforcement Learning
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Finmme: Benchmark Dataset For Financial Multi-modal Reasoning Evaluation
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Agent Lightning: Train ANY AI Agents With Reinforcement Learning
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Mcp-universe: Benchmarking Large Language Models With Real-world Model Context Protocol Servers
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Language Models Can Learn From Verbal Feedback Without Scalar Rewards
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Large Language Model Agent: A Survey On Methodology, Applications And Challenges
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LLM4SR: A Survey On Large Language Models For Scientific Research
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URSA: Understanding And Verifying Chain-of-thought Reasoning In Multimodal Mathematics
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RPG: A Repository Planning Graph For Unified And Scalable Codebase Generation
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Visual Embodied Brain: Let Multimodal Large Language Models See, Think, And Control In Spaces
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The Climb Carves Wisdom Deeper Than The Summit: On The Noisy Rewards In Learning To Reason
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Autonomy-of-experts Models
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Towards A Unified View Of Large Language Model Post-training
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Build The Web For Agents, Not Agents For The Web
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Iv-bench: A Benchmark For Image-grounded Video Perception And Reasoning In Multimodal Llms
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C3: A Bilingual Benchmark For Spoken Dialogue Models Exploring Challenges In Complex Conversations
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Chengqian Ma, Wei Tao, Yiwen Guo
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Bitnet B1.58 2B4T Technical Report
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Inference-time Scaling For Diffusion Models Beyond Scaling Denoising Steps
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Deepperception: Advancing R1-like Cognitive Visual Perception In Mllms For Knowledge-intensive Visual Grounding
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Cmi-bench: A Comprehensive Benchmark For Evaluating Music Instruction Following
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General-reasoner: Advancing LLM Reasoning Across All Domains
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One RL To See Them All: Visual Triple Unified Reinforcement Learning
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Rethinking Verification For LLM Code Generation: From Generation To Testing
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TCIA: A Task-centric Instruction Augmentation Method For Instruction Finetuning
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Token-shuffle: Towards High-resolution Image Generation With Autoregressive Models
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Slamming: Training A Speech Language Model On One GPU In A Day
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Gallil Maimon, Avishai Elmakies, Yossi Adi
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Scaling Analysis Of Interleaved Speech-text Language Models
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Unirl: Self-improving Unified Multimodal Models Via Supervised And Reinforcement Learning
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Weijia Mao, Zhenheng Yang, Mike Zheng Shou
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Spatiallm: Training Large Language Models For Structured Indoor Modeling
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Smolvlm: Redefining Small And Efficient Multimodal Models
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Alignvlm: Bridging Vision And Language Latent Spaces For Multimodal Understanding
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Chartqapro: A More Diverse And Challenging Benchmark For Chart Question Answering
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A Survey Of Context Engineering For Large Language Models
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Generative Artificial Intelligence In Higher Education: Evidence From An Analysis Of Institutional Policies And Guidelines
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• Computers in Human Behavior: Artificial Humans
• 59 citations
McDonald et al.
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Hard Negative Mining For Domain-specific Retrieval In Enterprise Systems
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Transmla: Multi-head Latent Attention Is All You Need
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Fanxu Meng, Zengwei Yao, Muhan Zhang
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Exploring The Latent Capacity Of Llms For One-step Text Generation
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Gleb Mezentsev, Ivan Oseledets
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I Think, Therefore I Diffuse: Enabling Multimodal In-context Reasoning In Diffusion Models
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Mi et al.
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Easy Dataset: A Unified And Extensible Framework For Synthesizing LLM Fine-tuning Data From Unstructured Documents
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Miao et al.
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Multi-agent Tool-integrated Policy Optimization
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Mo et al.
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LLM As A Broken Telephone: Iterative Generation Distorts Information
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Mohamed et al.
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Discrete Audio Tokens: More Than A Survey!
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Dreamo: A Unified Framework For Image Customization
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Leveraging Self-attention For Input-dependent Soft Prompting In Llms
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Ananth Muppidi, Abhilash Nandy, Sambaran Bandyopadhyay
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Adaptivocab: Enhancing LLM Efficiency In Focused Domains Through Lightweight Vocabulary Adaptation
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Nakash et al.
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SINQ: Sinkhorn-normalized Quantization For Calibration-free Low-precision LLM Weights
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Müller et al.
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Scalable-softmax Is Superior For Attention
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Ken M. Nakanishi
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Smoldocling: An Ultra-compact Vision-language Model For End-to-end Multi-modal Document Conversion
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Mlgym: A New Framework And Benchmark For Advancing AI Research Agents
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Drax: Speech Recognition With Discrete Flow Matching
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Semviqa: A Semantic Question Answering System For Vietnamese Information Fact-checking
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Hot: Highlighted Chain Of Thought For Referencing Supporting Facts From Inputs
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Viscoder: Fine-tuning Llms For Executable Python Visualization Code Generation
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Ni et al.
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Large Language Diffusion Models
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Mineru2.5: A Decoupled Vision-language Model For Efficient High-resolution Document Parsing
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Bielik 11B V2 Technical Report
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Ociepa et al.
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How Do Llms Acquire New Knowledge? A Knowledge Circuits Perspective On Continual Pre-training
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Ou et al.
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Large Language Models Think Too Fast To Explore Effectively
(2025)
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Lan Pan, Hanbo Xie, Robert C. Wilson
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DINO-R1: Incentivizing Reasoning Capability In Vision Foundation Models
(2025)
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Pan et al.
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Omnimanip: Towards General Robotic Manipulation Via Object-centric Interaction Primitives As Spatial Constraints
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Learning Adaptive Parallel Reasoning With Language Models
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Pan et al.
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Medvlm-r1: Incentivizing Medical Reasoning Capability Of Vision-language Models (vlms) Via Reinforcement Learning
(2025)
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Pan et al.
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BOLT: Bootstrap Long Chain-of-thought In Language Models Without Distillation
(2025)
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Pang et al.
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Quest: Stable Training Of Llms With 1-bit Weights And Activations
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Panferov et al.
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Temporal Alignment Guidance: On-manifold Sampling In Diffusion Models
(2025)
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Park et al.
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Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
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Park et al.
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Cotox: Chain-of-thought-based Molecular Toxicity Reasoning And Prediction
(2025)
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Park et al.
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A Survey On Inference Engines For Large Language Models: Perspectives On Optimization And Efficiency
(2025)
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Park et al.
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Fedrand: Enhancing Privacy In Federated Learning With Randomized Lora Subparameter Updates
(2025)
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Park et al.
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Outlier-safe Pre-training For Robust 4-bit Quantization Of Large Language Models
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Park et al.
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Sweeval: Do Llms Really Swear? A Safety Benchmark For Testing Limits For Enterprise Use
(2025)
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Patel et al.
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Interpretable Physics Reasoning And Performance Taxonomy In Vision-language Models
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Mathfusion: Enhancing Mathematic Problem-solving Of LLM Through Instruction Fusion
(2025)
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Pei et al.
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Fineweb2: One Pipeline To Scale Them All -- Adapting Pre-training Data Processing To Every Language
(2025)
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Penedo et al.
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RWKV-7 "goose" With Expressive Dynamic State Evolution
(2025)
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Peng et al.
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Agentic Reward Modeling: Integrating Human Preferences With Verifiable Correctness Signals For Reliable Reward Systems
(2025)
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Peng et al.
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Plutus: Benchmarking Large Language Models In Low-resource Greek Finance
(2025)
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Peng et al.
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Multifinben: A Multilingual, Multimodal, And Difficulty-aware Benchmark For Financial LLM Evaluation
(2025)
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Peng et al.
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Vibevoice Technical Report
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Peng et al.
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Skywork R1V: Pioneering Multimodal Reasoning With Chain-of-thought
(2025)
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Peng et al.
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SWE-QA: Can Language Models Answer Repository-level Code Questions?
(2025)
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Peng et al.
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Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification To Improve Trustworthy QA
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Pletenev et al.
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Unconditional Priors Matter! Improving Conditional Generation Of Fine-tuned Diffusion Models
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Phunyaphibarn et al.
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How Much Knowledge Can You Pack Into A Lora Adapter Without Harming LLM?
(2025)
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Pletenev et al.
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An Open Recipe: Adapting Language-specific Llms To A Reasoning Model In One Day Via Model Merging
(2025)
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Pipatanakul et al.
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THOUGHTTERMINATOR: Benchmarking, Calibrating, And Mitigating Overthinking In Reasoning Models
(2025)
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Pu et al.
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Optimizing Anytime Reasoning Via Budget Relative Policy Optimization
(2025)
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Qi et al.
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BEAR: Benchmarking And Enhancing Multimodal Language Models For Atomic Embodied Capabilities
(2025)
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Qi et al.
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Vcr-bench: A Comprehensive Evaluation Framework For Video Chain-of-thought Reasoning
(2025)
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Userbench: An Interactive Gym Environment For User-centric Agents
(2025)
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Qian et al.
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Fino1: On The Transferability Of Reasoning Enhanced Llms To Finance
(2025)
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Qian et al.
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Toolrl: Reward Is All Tool Learning Needs
(2025)
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We-math 2.0: A Versatile Mathbook System For Incentivizing Visual Mathematical Reasoning
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Agentic Knowledgeable Self-awareness
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Phybench: Holistic Evaluation Of Physical Perception And Reasoning In Large Language Models
(2025)
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Qiu et al.
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Animeshooter: A Multi-shot Animation Dataset For Reference-guided Video Generation
(2025)
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Why Low-precision Transformer Training Fails: An Analysis On Flash Attention
(2025)
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Haiquan Qiu, Quanming Yao
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Thinking Beyond Tokens: From Brain-inspired Intelligence To Cognitive Foundations For Artificial General Intelligence And Its Societal Impact
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Qureshi et al.
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Codeelo: Benchmarking Competition-level Code Generation Of Llms With Human-comparable Elo Ratings
(2025)
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Quan et al.
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X-teaming: Multi-turn Jailbreaks And Defenses With Adaptive Multi-agents
(2025)
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Rahman et al.
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An Empirical Study Of Autoregressive Pre-training From Videos
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Bookworld: From Novels To Interactive Agent Societies For Creative Story Generation
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Ran et al.
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Llm-microscope: Uncovering The Hidden Role Of Punctuation In Context Memory Of Transformers
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Razzhigaev et al.
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RL + Transformer = A General-purpose Problem Solver
(2025)
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Micah Rentschler, Jesse Roberts
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EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning And Reasoning Modes
(2025)
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Research et al.
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Beyond Memorization: Extending Reasoning Depth With Recurrence, Memory And Test-time Compute Scaling
(2025)
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Rodkin et al.
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Hogwild! Inference: Parallel LLM Generation Via Concurrent Attention
(2025)
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REFINE-AF: A Task-agnostic Framework To Align Language Models Via Self-generated Instructions Using Reinforcement Learning From Automated Feedback
(2025)
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Roy et al.
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Fast And Simplex: 2-simplicial Attention In Triton
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Benchmarking Llms' Swarm Intelligence
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Ruan et al.
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Through The Looking Glass: Common Sense Consistency Evaluation Of Weird Images
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Rykov et al.
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The Diffusion Duality
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Sahoo et al.
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Geopolitical Biases In Llms: What Are The "good" And The "bad" Countries According To Contemporary Language Models
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Salnikov et al.
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Omnimattezero: Training-free Real-time Omnimatte With Pre-trained Video Diffusion Models
(2025)
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Samuel et al.
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Training Language Models For Social Deduction With Multi-agent Reinforcement Learning
(2025)
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Sarkar et al.
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Agent Laboratory: Using LLM Agents As Research Assistants
(2025)
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Project Alexandria: Towards Freeing Scientific Knowledge From Copyright Burdens Via Llms
(2025)
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Schuhmann et al.
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Llms Are Greedy Agents: Effects Of RL Fine-tuning On Decision-making Abilities
(2025)
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Schmied et al.
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How To Synthesize Text Data Without Model Collapse?
(2024)
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Processbench: Identifying Process Errors In Mathematical Reasoning
(2024)
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Zheng et al.
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Paint By Inpaint: Learning To Add Image Objects By Removing Them First
(2024)
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Wasserman et al.
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Generative Artificial Intelligence: A Systematic Review And Applications
(2024)
• Multimedia Tools and Applications
• 116 citations
Sengar et al.
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3D Question Answering For City Scene Understanding
(2024)
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Sun et al.
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BOND: Aligning Llms With Best-of-n Distillation
(2024)
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Sessa et al.
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Inserf: Text-driven Generative Object Insertion In Neural 3D Scenes
(2024)
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Show, Don't Tell: Aligning Language Models With Demonstrated Feedback
(2024)
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Collaborative Large Language Model For Recommender Systems
(2024)
• Proceedings of the ACM Web Conference 2024
• 44 citations
Zhu et al.
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Talking About Large Language Models
(2024)
• Communications of the ACM
• 157 citations
Murray Shanahan
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Atlas-chat: Adapting Large Language Models For Low-resource Moroccan Arabic Dialect
(2024)
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Shang et al.
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Deepseekmath: Pushing The Limits Of Mathematical Reasoning In Open Language Models
(2024)
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Shao et al.
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Who Validates The Validators? Aligning Llm-assisted Evaluation Of LLM Outputs With Human Preferences
(2024)
• Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
• 51 citations
Shankar et al.
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Imp: Highly Capable Large Multimodal Models For Mobile Devices
(2024)
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Shao et al.
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Scaling Retrieval-based Language Models With A Trillion-token Datastore
(2024)
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CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
(2024)
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Zhang et al.
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Critic-v: VLM Critics Help Catch VLM Errors In Multimodal Reasoning
(2024)
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Zhang et al.
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A Comprehensive Study Of Knowledge Editing For Large Language Models
(2024)
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Zhang et al.
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Chemllm: A Chemical Large Language Model
(2024)
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Zhang et al.
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Ferret-v2: An Improved Baseline For Referring And Grounding With Large Language Models
(2024)
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Zhang et al.
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How Far Are We From Intelligent Visual Deductive Reasoning?
(2024)
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Zhang et al.
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HARE: Human Priors, A Key To Small Language Model Efficiency
(2024)
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Zhang et al.
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IOPO: Empowering Llms With Complex Instruction Following Via Input-output Preference Optimization
(2024)
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Zhang et al.
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Internlm-xcomposer2.5-omnilive: A Comprehensive Multimodal System For Long-term Streaming Video And Audio Interactions
(2024)
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Zhang et al.
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Instruct-musicgen: Unlocking Text-to-music Editing For Music Language Models Via Instruction Tuning
(2024)
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Zhang et al.
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Llama-berry: Pairwise Optimization For O1-like Olympiad-level Mathematical Reasoning
(2024)
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Zhang et al.
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Itercomp: Iterative Composition-aware Feedback Learning From Model Gallery For Text-to-image Generation
(2024)
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Zhang et al.
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Improve Vision Language Model Chain-of-thought Reasoning
(2024)
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Zhang et al.
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Longcite: Enabling Llms To Generate Fine-grained Citations In Long-context QA
(2024)
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Zhang et al.
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MAVIS: Mathematical Visual Instruction Tuning
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Zhang et al.
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Mathverse: Does Your Multi-modal LLM Truly See The Diagrams In Visual Math Problems?
(2024)
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Zhang et al.
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RAFT: Adapting Language Model To Domain Specific RAG
(2024)
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Zhang et al.
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Map-neo: Highly Capable And Transparent Bilingual Large Language Model Series
(2024)
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Zhang et al.
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Mm-llms: Recent Advances In Multimodal Large Language Models
(2024)
• No Venue
Zhang et al.
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MM1.5: Methods, Analysis & Insights From Multimodal LLM Fine-tuning
(2024)
• No Venue
Zhang et al.
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Document Parsing Unveiled: Techniques, Challenges, And Prospects For Structured Information Extraction
(2024)
• No Venue
Zhang et al.
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OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation
(2024)
• No Venue
Zhang et al.
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Pixel-space Post-training Of Latent Diffusion Models
(2024)
• No Venue
Zhang et al.
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Personalization Of Large Language Models: A Survey
(2024)
• No Venue
Zhang et al.
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Onegen: Efficient One-pass Unified Generation And Retrieval For Llms
(2024)
• No Venue
Zhang et al.
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Recurrent Drafter For Fast Speculative Decoding In Large Language Models
(2024)
• No Venue
Zhang et al.
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Tinyllama: An Open-source Small Language Model
(2024)
• No Venue
Zhang et al.
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Seallms 3: Open Foundation And Chat Multilingual Large Language Models For Southeast Asian Languages
(2024)
• No Venue
Zhang et al.
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Q-galore: Quantized Galore With INT4 Projection And Layer-adaptive Low-rank Gradients
(2024)
• No Venue
Zhang et al.
-
SF-V: Single Forward Video Generation Model
(2024)
• No Venue
Zhang et al.
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Sentiment Analysis In The Era Of Large Language Models: A Reality Check
(2024)
• Findings of the Association for Computational Linguistics: NAACL 2024
• 112 citations
Zhang et al.
-
Soaring From 4K To 400K: Extending Llm's Context With Activation Beacon
(2024)
• No Venue
Zhang et al.
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Simulating Classroom Education With Llm-empowered Agents
(2024)
• No Venue
Zhang et al.
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Tora: Trajectory-oriented Diffusion Transformer For Video Generation
(2024)
• No Venue
Zhang et al.
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Cobra: Extending Mamba To Multi-modal Large Language Model For Efficient Inference
(2024)
• No Venue
Zhao et al.
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SPAR: Personalized Content-based Recommendation Via Long Engagement Attention
(2024)
• No Venue
Zhang et al.
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Videoelevator: Elevating Video Generation Quality With Versatile Text-to-image Diffusion Models
(2024)
• No Venue
Zhang et al.
-
Self-exploring Language Models: Active Preference Elicitation For Online Alignment
(2024)
• No Venue
Zhang et al.
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WALL-E: World Alignment By Rule Learning Improves World Model-based LLM Agents
(2024)
• No Venue
Zhou et al.
-
Megapairs: Massive Data Synthesis For Universal Multimodal Retrieval
(2024)
• No Venue
Zhou et al.
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AIM: Adaptive Inference Of Multi-modal Llms Via Token Merging And Pruning
(2024)
• No Venue
Zhong et al.
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When Scaling Meets LLM Finetuning: The Effect Of Data, Model And Finetuning Method
(2024)
• No Venue
Zhang et al.
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Agieval: A Human-centric Benchmark For Evaluating Foundation Models
(2024)
• Findings of the Association for Computational Linguistics: NAACL 2024
• 70 citations
Zhong et al.
-
Phased Consistency Model
(2024)
• No Venue
Wang et al.
-
Let The Expert Stick To His Last: Expert-specialized Fine-tuning For Sparse Architectural Large Language Models
(2024)
• No Venue
Wang et al.
-
Docgraphlm: Documental Graph Language Model For Information Extraction
(2024)
• No Venue
Wang et al.
-
Diffusion Feedback Helps CLIP See Better
(2024)
• No Venue
Wang et al.
-
Bitnet A4.8: 4-bit Activations For 1-bit Llms
(2024)
• No Venue
Hongyu Wang, Shuming Ma, Furu Wei
-
ALPINE: Unveiling The Planning Capability Of Autoregressive Learning In Language Models
(2024)
• No Venue
Wang et al.
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Llmtimesmapreduce: Simplified Long-sequence Processing Using Large Language Models
(2024)
• No Venue
Zhou et al.
-
Ethical Chatgpt: Concerns, Challenges, And Commandments
(2024)
• Electronics
• 46 citations
Zhou et al.
-
Navgpt: Explicit Reasoning In Vision-and-language Navigation With Large Language Models
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 46 citations
Gengze Zhou, Yicong Hong, Qi Wu
-
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning With Checklist
(2024)
• No Venue
Zhou et al.
-
Euclid: Supercharging Multimodal Llms With Synthetic High-fidelity Visual Descriptions
(2024)
• No Venue
Zhang et al.
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Resonance Rope: Improving Context Length Generalization Of Large Language Models
(2024)
• No Venue
Wang et al.
-
Qwen2-vl: Enhancing Vision-language Model's Perception Of The World At Any Resolution
(2024)
• No Venue
Wang et al.
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Q-sparse: All Large Language Models Can Be Fully Sparsely-activated
(2024)
• No Venue
Wang et al.
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Software Testing With Large Language Models: Survey, Landscape, And Vision
(2024)
• IEEE Transactions on Software Engineering
• 203 citations
Wang et al.
-
Secrets Of RLHF In Large Language Models Part II: Reward Modeling
(2024)
• No Venue
Wang et al.
-
Weaver: Foundation Models For Creative Writing
(2024)
• No Venue
Wang et al.
-
Videohallucer: Evaluating Intrinsic And Extrinsic Hallucinations In Large Video-language Models
(2024)
• No Venue
Wang et al.
-
Videollamb: Long-context Video Understanding With Recurrent Memory Bridges
(2024)
• No Venue
Wang et al.
-
Utilizing BERT For Information Retrieval: Survey, Applications, Resources, And Challenges
(2024)
• ACM Computing Surveys
• 40 citations
Wang et al.
-
A Survey On Large Language Models From Concept To Implementation
(2024)
• Frontiers of Computer Science
• 402 citations
Chen Wang, Jin Zhao, Jiaqi Gong
-
Tutor Copilot: A Human-ai Approach For Scaling Real-time Expertise
(2024)
• No Venue
Wang et al.
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Animatelcm: Accelerating The Animation Of Personalized Diffusion Models And Adapters With Decoupled Consistency Learning
(2024)
• No Venue
Wang et al.
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Charxiv: Charting Gaps In Realistic Chart Understanding In Multimodal Llms
(2024)
• No Venue
Wang et al.
-
Bitstack: Fine-grained Size Control For Compressed Large Language Models In Variable Memory Environments
(2024)
• No Venue
Wang et al.
-
Chain-of-thought Reasoning Without Prompting
(2024)
• No Venue
Xuezhi Wang, Denny Zhou
-
LAVE: Llm-powered Agent Assistance And Language Augmentation For Video Editing
(2024)
• No Venue
Wang et al.
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Grokked Transformers Are Implicit Reasoners: A Mechanistic Journey To The Edge Of Generalization
(2024)
• No Venue
Wang et al.
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Enhancing The Reasoning Ability Of Multimodal Large Language Models Via Mixed Preference Optimization
(2024)
• No Venue
Wang et al.
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Drt-o1: Optimized Deep Reasoning Translation Via Long Chain-of-thought
(2024)
• No Venue
Wang et al.
-
DPLM-2: A Multimodal Diffusion Protein Language Model
(2024)
• No Venue
Wang et al.
-
Emu3: Next-token Prediction Is All You Need
(2024)
• No Venue
Wang et al.
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Git: Towards Generalist Vision Transformer Through Universal Language Interface
(2024)
• No Venue
Wang et al.
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Fitv2: Scalable And Improved Flexible Vision Transformer For Diffusion Model
(2024)
• No Venue
Wang et al.
-
Opendevin: An Open Platform For AI Software Developers As Generalist Agents
(2024)
• No Venue
Wang et al.
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Omnieval: An Omnidirectional And Automatic RAG Evaluation Benchmark In Financial Domain
(2024)
• No Venue
Wang et al.
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Offline Reinforcement Learning For LLM Multi-step Reasoning
(2024)
• No Venue
Wang et al.
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Neural Network Diffusion
(2024)
• No Venue
Wang et al.
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Needle In A Multimodal Haystack
(2024)
• No Venue
Wang et al.
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Multimodal Needle In A Haystack: Benchmarking Long-context Capability Of Multimodal Large Language Models
(2024)
• No Venue
Wang et al.
-
Mtu-bench: A Multi-granularity Tool-use Benchmark For Large Language Models
(2024)
• No Venue
Wang et al.
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Model Surgery: Modulating Llm's Behavior Via Simple Parameter Editing
(2024)
• No Venue
Wang et al.
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Mobile-agent: Autonomous Multi-modal Mobile Device Agent With Visual Perception
(2024)
• No Venue
Wang et al.
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Mmlu-pro: A More Robust And Challenging Multi-task Language Understanding Benchmark
(2024)
• No Venue
Wang et al.
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MLLM Can See? Dynamic Correction Decoding For Hallucination Mitigation
(2024)
• No Venue
Wang et al.
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Mixture-of-agents Enhances Large Language Model Capabilities
(2024)
• No Venue
Wang et al.
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MIO: A Foundation Model On Multimodal Tokens
(2024)
• No Venue
Wang et al.
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Mambabyte: Token-free Selective State Space Model
(2024)
• No Venue
Wang et al.
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Loong: Generating Minute-level Long Videos With Autoregressive Language Models
(2024)
• No Venue
Wang et al.
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Longllava: Scaling Multi-modal Llms To 1000 Images Efficiently Via Hybrid Architecture
(2024)
• No Venue
Wang et al.
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Llms In The Imaginarium: Tool Learning Through Simulated Trial And Error
(2024)
• No Venue
Wang et al.
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Llama-mesh: Unifying 3D Mesh Generation With Language Models
(2024)
• No Venue
Wang et al.
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Lift: Leveraging Human Feedback For Text-to-video Model Alignment
(2024)
• No Venue
Wang et al.
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Knowledge Mechanisms In Large Language Models: A Survey And Perspective
(2024)
• No Venue
Wang et al.
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Fusechat: Knowledge Fusion Of Chat Models
(2024)
• No Venue
Wan et al.
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Adapted Large Language Models Can Outperform Medical Experts In Clinical Text Summarization
(2024)
• Nature Medicine
• 310 citations
Veen et al.
-
Improving Text Embeddings For Smaller Language Models Using Contrastive Fine-tuning
(2024)
• No Venue
Trapoom Ukarapol, Zhicheng Lee, Amy Xin
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Llms Cannot Reliably Identify And Reason About Security Vulnerabilities (yet?): A Comprehensive Evaluation, Framework, And Benchmarks
(2024)
• 2024 IEEE Symposium on Security and Privacy (SP)
• 43 citations
Ullah et al.
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Diffusion Models Are Real-time Game Engines
(2024)
• No Venue
Valevski et al.
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From Words To Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-context Examples
(2024)
• No Venue
Vacareanu et al.
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Fastvlm: Efficient Vision Encoding For Vision Language Models
(2024)
• No Venue
Vasu et al.
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Replacing Judges With Juries: Evaluating LLM Generations With A Panel Of Diverse Models
(2024)
• No Venue
Verga et al.
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One Missing Piece In Vision And Language: A Survey On Comics Understanding
(2024)
• No Venue
Vivoli et al.
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Switti: Designing Scale-wise Transformers For Text-to-image Synthesis
(2024)
• No Venue
Voronov et al.
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From Rags To Rich Parameters: Probing How Language Models Utilize External Knowledge Over Parametric Information For Factual Queries
(2024)
• No Venue
Wadhwa et al.
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Tnt-llm: Text Mining At Scale With Large Language Models
(2024)
• No Venue
Wan et al.
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Synth^2: Boosting Visual-language Models With Synthetic Captions And Image Embeddings
(2024)
• No Venue
Sharifzadeh et al.
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GLEE: A Unified Framework And Benchmark For Language-based Economic Environments
(2024)
• No Venue
Shapira et al.
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Cogview3: Finer And Faster Text-to-image Generation Via Relay Diffusion
(2024)
• No Venue
Zheng et al.
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Attention Heads Of Large Language Models: A Survey
(2024)
• No Venue
Zheng et al.
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Llamafactory: Unified Efficient Fine-tuning Of 100+ Language Models
(2024)
• No Venue
Zheng et al.
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Jetmoe: Reaching Llama2 Performance With 0.1M Dollars
(2024)
• No Venue
Shen et al.
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Explanatory Instructions: Towards Unified Vision Tasks Understanding And Zero-shot Generalization
(2024)
• No Venue
Shen et al.
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Scaling Laws For Linear Complexity Language Models
(2024)
• No Venue
Shen et al.
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Nemo-aligner: Scalable Toolkit For Efficient Model Alignment
(2024)
• No Venue
Shen et al.
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Learning To Decode Collaboratively With Multiple Language Models
(2024)
• No Venue
Shen et al.
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Longvu: Spatiotemporal Adaptive Compression For Long Video-language Understanding
(2024)
• No Venue
Shen et al.
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Power Scheduler: A Batch Size And Token Number Agnostic Learning Rate Scheduler
(2024)
• No Venue
Shen et al.
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Tag-llm: Repurposing General-purpose Llms For Specialized Domains
(2024)
• No Venue
Shen et al.
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Openresearcher: Unleashing AI For Accelerated Scientific Research
(2024)
• No Venue
Zheng et al.
-
Llms For Knowledge Graph Construction And Reasoning: Recent Capabilities And Future Opportunities
(2024)
• World Wide Web
• 93 citations
Zhu et al.
-
Opencodeinterpreter: Integrating Code Generation With Execution And Refinement
(2024)
• No Venue
Zheng et al.
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REPLUG: Retrieval-augmented Black-box Language Models
(2024)
• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
• 55 citations
Shi et al.
-
From Code To Correctness: Closing The Last Mile Of Code Generation With Hierarchical Debugging
(2024)
• No Venue
Shi et al.
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Discovering The Gems In Early Layers: Accelerating Long-context Llms With 1000x Input Token Reduction
(2024)
• No Venue
Shi et al.
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Eagle: Exploring The Design Space For Multimodal Llms With Mixture Of Encoders
(2024)
• No Venue
Shi et al.
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Moba: A Two-level Agent System For Efficient Mobile Task Automation
(2024)
• No Venue
Zhu et al.
-
Multilingual Machine Translation With Large Language Models: Empirical Results And Analysis
(2024)
• Findings of the Association for Computational Linguistics: NAACL 2024
• 56 citations
Zhu et al.
-
Dolma: An Open Corpus Of Three Trillion Tokens For Language Model Pretraining Research
(2024)
• No Venue
Soldaini et al.
-
Adapting Llms To Hebrew: Unveiling Dictalm 2.0 With Enhanced Vocabulary And Instruction Capabilities
(2024)
• No Venue
Shmidman et al.
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Steering Knowledge Selection Behaviours In Llms Via Sae-based Representation Engineering
(2024)
• No Venue
Zhao et al.
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Realmdreamer: Text-driven 3D Scene Generation With Inpainting And Depth Diffusion
(2024)
• No Venue
Shriram et al.
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Llava-mod: Making Llava Tiny Via Moe Knowledge Distillation
(2024)
• No Venue
Shu et al.
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PERL: Parameter Efficient Reinforcement Learning From Human Feedback
(2024)
• No Venue
Sidahmed et al.
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Can Llms Generate Novel Research Ideas? A Large-scale Human Study With 100+ NLP Researchers
(2024)
• No Venue
Chenglei Si, Diyi Yang, Tatsunori Hashimoto
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Hyper-connections
(2024)
• No Venue
Zhu et al.
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Reflections From The 2024 Large Language Model (LLM) Hackathon For Applications In Materials Science And Chemistry
(2024)
• No Venue
Zimmermann et al.
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Rethinking Interpretability In The Era Of Large Language Models
(2024)
• No Venue
Singh et al.
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Aya Dataset: An Open-access Collection For Multilingual Instruction Tuning
(2024)
• No Venue
Singh et al.
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The Russian-focused Embedders' Exploration: Rumteb Benchmark And Russian Embedding Model Design
(2024)
• No Venue
Snegirev et al.
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A Large Encoder-decoder Family Of Foundation Models For Chemical Language
(2024)
• No Venue
Soares et al.
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Self-discover: Large Language Models Self-compose Reasoning Structures
(2024)
• No Venue
Zhou et al.
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Llama Beyond English: An Empirical Study On Language Capability Transfer
(2024)
• No Venue
Zhao et al.
-
Large Language Models For Forecasting And Anomaly Detection: A Systematic Literature Review
(2024)
• Arxiv
• 60 citations
Su et al.
-
Both Text And Images Leaked! A Systematic Analysis Of Multimodal LLM Data Contamination
(2024)
• No Venue
Song et al.
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The Good, The Bad, And The Greedy: Evaluation Of Llms Should Not Ignore Non-determinism
(2024)
• No Venue
Song et al.
-
Turbo Sparse: Achieving LLM SOTA Performance With Minimal Activated Parameters
(2024)
• No Venue
Song et al.
-
A Survey On Model Compression For Large Language Models
(2024)
• Transactions of the Association for Computational Linguistics
• 52 citations
Zhu et al.
-
Structlm: Towards Building Generalist Models For Structured Knowledge Grounding
(2024)
• No Venue
Zhuang et al.
-
Lvlm-intrepret: An Interpretability Tool For Large Vision-language Models
(2024)
• No Venue
Stan et al.
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Funaudiollm: Voice Understanding And Generation Foundation Models For Natural Interaction Between Humans And Llms
(2024)
• No Venue
Tongyi Speechteam
-
To Cot Or Not To Cot? Chain-of-thought Helps Mainly On Math And Symbolic Reasoning
(2024)
• No Venue
Sprague et al.
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Canttalkaboutthis: Aligning Language Models To Stay On Topic In Dialogues
(2024)
• No Venue
Sreedhar et al.
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Invertible Consistency Distillation For Text-guided Image Editing In Around 7 Steps
(2024)
• No Venue
Starodubcev et al.
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Gliner Multi-task: Generalist Lightweight Model For Various Information Extraction Tasks
(2024)
• No Venue
Ihor Stepanov, Mykhailo Shtopko
-
Paligemma 2: A Family Of Versatile Vlms For Transfer
(2024)
• No Venue
Steiner et al.
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Lora Land: 310 Fine-tuned Llms That Rival GPT-4, A Technical Report
(2024)
• No Venue
Zhao et al.
-
Galore: Memory-efficient LLM Training By Gradient Low-rank Projection
(2024)
• No Venue
Zhao et al.
-
Meta-chunking: Learning Efficient Text Segmentation Via Logical Perception
(2024)
• No Venue
Zhao et al.
-
Explainability For Large Language Models: A Survey
(2024)
• ACM Transactions on Intelligent Systems and Technology
• 266 citations
Zhao et al.
-
Recommender Systems In The Era Of Large Language Models (llms)
(2024)
• IEEE Transactions on Knowledge and Data Engineering
• 132 citations
Zhao et al.
-
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark And Empirical Study
(2024)
• Proceedings of the 17th ACM International Conference on Web Search and Data Mining
• 52 citations
Sui et al.
-
Luminate: Structured Generation And Exploration Of Design Space With Large Language Models For Human-ai Co-creation
(2024)
• Proceedings of the CHI Conference on Human Factors in Computing Systems
• 63 citations
Suh et al.
-
Branch-train-mix: Mixing Expert Llms Into A Mixture-of-experts LLM
(2024)
• No Venue
Sukhbaatar et al.
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Programming Every Example: Lifting Pre-training Data Quality Like Experts At Scale
(2024)
• No Venue
Zhou et al.
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A Comprehensive Survey On Pretrained Foundation Models: A History From BERT To Chatgpt
(2024)
• International Journal of Machine Learning and Cybernetics
• 208 citations
Zhou et al.
-
T2v-compbench: A Comprehensive Benchmark For Compositional Text-to-video Generation
(2024)
• No Venue
Sun et al.
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Learning To (learn At Test Time): Rnns With Expressive Hidden States
(2024)
• No Venue
Sun et al.
-
Autoregressive Model Beats Diffusion: Llama For Scalable Image Generation
(2024)
• No Venue
Sun et al.
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LAMBDA: A Large Model Based Data Agent
(2024)
• No Venue
Sun et al.
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Parrot: Multilingual Visual Instruction Tuning
(2024)
• No Venue
Sun et al.
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Multimodal Latent Language Modeling With Next-token Diffusion
(2024)
• No Venue
Sun et al.
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Os-genesis: Automating GUI Agent Trajectory Construction Via Reverse Task Synthesis
(2024)
• No Venue
Sun et al.
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X-prompt: Towards Universal In-context Image Generation In Auto-regressive Vision Language Foundation Models
(2024)
• No Venue
Sun et al.
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Unpacking SDXL Turbo: Interpreting Text-to-image Models With Sparse Autoencoders
(2024)
• No Venue
Surkov et al.
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Diasynth -- Synthetic Dialogue Generation Framework
(2024)
• No Venue
Suresh et al.
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Meta-prompting: Enhancing Language Models With Task-agnostic Scaffolding
(2024)
• No Venue
Mirac Suzgun, Adam Tauman Kalai
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A Framework For Human Evaluation Of Large Language Models In Healthcare Derived From Literature Review
(2024)
• npj Digital Medicine
• 75 citations
Tam et al.
-
Transformers Can Represent N-gram Language Models
(2024)
• No Venue
Anej Svete, Ryan Cotterell
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Transfusion: Predict The Next Token And Diffuse Images With One Multi-modal Model
(2024)
• No Venue
Zhou et al.
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Video-infinity: Distributed Long Video Generation
(2024)
• No Venue
Tan et al.
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Lloco: Learning Long Contexts Offline
(2024)
• No Venue
Tan et al.
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Efficiently Democratizing Medical Llms For 50 Languages Via A Mixture Of Language Family Experts
(2024)
• No Venue
Zheng et al.
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Law Of The Weakest Link: Cross Capabilities Of Large Language Models
(2024)
• No Venue
Zhong et al.
-
Textsquare: Scaling Up Text-centric Visual Instruction Tuning
(2024)
• No Venue
Tang et al.
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Graphgpt: Graph Instruction Tuning For Large Language Models
(2024)
• Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 46 citations
Tang et al.
-
The Science Of Detecting Llm-generated Texts
(2024)
• Communications of the ACM
• 58 citations
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
-
Memorybank: Enhancing Large Language Models With Long-term Memory
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 48 citations
Zhong et al.
-
Top-nσ: Not All Logits Are You Need
(2024)
• No Venue
Tang et al.
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Mme-realworld: Could Your Multimodal LLM Challenge High-resolution Real-world Scenarios That Are Difficult For Humans?
(2024)
• No Venue
Zhang et al.
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Bento: Benchmark Task Reduction With In-context Transferability
(2024)
• No Venue
Zhao et al.
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APOLLO: Sgd-like Memory, Adamw-level Performance
(2024)
• No Venue
Zhu et al.
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Lyra: An Efficient And Speech-centric Framework For Omni-cognition
(2024)
• No Venue
Zhong et al.
-
Cultural Bias And Cultural Alignment Of Large Language Models
(2024)
• PNAS Nexus
• 86 citations
Tao et al.
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Scaling Laws With Vocabulary: Larger Models Deserve Larger Vocabularies
(2024)
• No Venue
Tao et al.
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Can Large Language Models Understand Context?
(2024)
• No Venue
Zhu et al.
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Jamba-1.5: Hybrid Transformer-mamba Models At Scale
(2024)
• No Venue
Team et al.
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Gemma 2: Improving Open Language Models At A Practical Size
(2024)
• No Venue
Team et al.
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Spreadsheetllm: Encoding Spreadsheets For Large Language Models
(2024)
• No Venue
Tian et al.
-
Hermes 3 Technical Report
(2024)
• No Venue
Ryan Teknium, Jeffrey Quesnelle, Chen Guang
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Towards Retrieval Augmented Generation Over Large Video Libraries
(2024)
• No Venue
Yannis Tevissen, Khalil Guetari, Frédéric Petitpont
-
Cambrian-1: A Fully Open, Vision-centric Exploration Of Multimodal Llms
(2024)
• No Venue
Tong et al.
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Judging The Judges: Evaluating Alignment And Vulnerabilities In Llms-as-judges
(2024)
• No Venue
Thakur et al.
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Mobillama: Towards Accurate And Lightweight Fully Transparent GPT
(2024)
• No Venue
Thawakar et al.
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Verigen: A Large Language Model For Verilog Code Generation
(2024)
• ACM Transactions on Design Automation of Electronic Systems
• 53 citations
Thakur et al.
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Large Language Models Can Accurately Predict Searcher Preferences
(2024)
• Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 72 citations
Thomas et al.
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Toward Self-improvement Of Llms Via Imagination, Searching, And Criticizing
(2024)
• No Venue
Tian et al.
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Videotetris: Towards Compositional Text-to-video Generation
(2024)
• No Venue
Tian et al.
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Guide-and-rescale: Self-guidance Mechanism For Effective Tuning-free Real Image Editing
(2024)
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Titov et al.
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Openmathinstruct-1: A 1.8 Million Math Instruction Tuning Dataset
(2024)
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Toshniwal et al.
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A Comprehensive Survey Of Hallucination Mitigation Techniques In Large Language Models
(2024)
• Arxiv
• 72 citations
Tonmoy et al.
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Towards Conversational Diagnostic AI
(2024)
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Tu et al.
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Give Us The Facts: Enhancing Large Language Models With Knowledge Graphs For Fact-aware Language Modeling
(2024)
• IEEE Transactions on Knowledge and Data Engineering
• 82 citations
Yang et al.
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Advancing LLM Reasoning Generalists With Preference Trees
(2024)
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Yuan et al.
-
Self-play Fine-tuning Of Diffusion Models For Text-to-image Generation
(2024)
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Yuan et al.
-
Almanac: Retrieval-augmented Language Models For Clinical Medicine
(2024)
• NEJM AI
• 188 citations
Zakka et al.
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Qwen2.5 Technical Report
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Qwen et al.
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Edify Image: High-quality Image Generation With Pixel Space Laplacian Diffusion Models
(2024)
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Nvidia et al.
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Pixtral 12B
(2024)
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Agrawal et al.
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Digirl: Training In-the-wild Device-control Agents With Autonomous Reinforcement Learning
(2024)
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Bai et al.
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Llm-detectaive: A Tool For Fine-grained Machine-generated Text Detection
(2024)
• No Venue
Abassy et al.
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Foundation Metrics For Evaluating Effectiveness Of Healthcare Conversations Powered By Generative AI
(2024)
• npj Digital Medicine
• 91 citations
Abbasian et al.
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Phi-4 Technical Report
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Abdin et al.
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Star Attention: Efficient LLM Inference Over Long Sequences
(2024)
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Shantanu Acharya, Fei Jia, Boris Ginsburg
-
Swe-bench-java: A Github Issue Resolving Benchmark For Java
(2024)
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Zan et al.
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Alignment Studio: Aligning Large Language Models To Particular Contextual Regulations
(2024)
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Achintalwar et al.
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Evaluating Correctness And Faithfulness Of Instruction-following Models For Question Answering
(2024)
• Transactions of the Association for Computational Linguistics
• 41 citations
Adlakha et al.
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Can Llms Perform Structured Graph Reasoning?
(2024)
• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
• 42 citations
Palaash Agrawal, Shavak Vasania, Cheston Tan
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Agent S: An Open Agentic Framework That Uses Computers Like A Human
(2024)
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Agashe et al.
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Textgrad: Automatic "differentiation" Via Text
(2024)
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Yuksekgonul et al.
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Video-star: Self-training Enables Video Instruction Tuning With Any Supervision
(2024)
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Zohar et al.
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Linear Transformers With Learnable Kernel Functions Are Better In-context Models
(2024)
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Aksenov et al.
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Maya: An Instruction Finetuned Multilingual Multimodal Model
(2024)
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Alam et al.
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Unibench: Visual Reasoning Requires Rethinking Vision-language Beyond Scaling
(2024)
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Al-Tahan et al.
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Pangea: A Fully Open Multilingual Multimodal LLM For 39 Languages
(2024)
• No Venue
Yue et al.
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Training-free Long-context Scaling Of Large Language Models
(2024)
• No Venue
An et al.
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Understanding Alignment In Multimodal Llms: A Comprehensive Study
(2024)
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Amirloo et al.
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Make Your LLM Fully Utilize The Context
(2024)
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An et al.
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Burstattention: An Efficient Distributed Attention Framework For Extremely Long Sequences
(2024)
• No Venue
Ao et al.
-
Homogenization Effects Of Large Language Models On Human Creative Ideation
(2024)
• Creativity and Cognition
• 61 citations
Barrett R. Anderson, Jash Hemant Shah, Max Kreminski
-
Aya Model: An Instruction Finetuned Open-access Multilingual Language Model
(2024)
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Üstün et al.
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Perplexed By Perplexity: Perplexity-based Data Pruning With Small Reference Models
(2024)
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Ankner et al.
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Arigraph: Learning Knowledge Graph World Models With Episodic Memory For LLM Agents
(2024)
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Anokhin et al.
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Identity-preserving Text-to-video Generation By Frequency Decomposition
(2024)
• No Venue
Yuan et al.
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Chainforge: A Visual Toolkit For Prompt Engineering And LLM Hypothesis Testing
(2024)
• Proceedings of the CHI Conference on Human Factors in Computing Systems
• 65 citations
Arawjo et al.
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Large Language Models Streamline Automated Machine Learning For Clinical Studies
(2024)
• Nature Communications
• 59 citations
Arasteh et al.
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Simple Linear Attention Language Models Balance The Recall-throughput Tradeoff
(2024)
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Arora et al.
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Advancing Requirements Engineering Through Generative AI: Assessing The Role Of Llms
(2024)
• Generative AI for Effective Software Development
• 66 citations
Chetan Arora, John Grundy, Mohamed Abdelrazek
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Openscholar: Synthesizing Scientific Literature With Retrieval-augmented Lms
(2024)
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Asai et al.
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Aya 23: Open Weight Releases To Further Multilingual Progress
(2024)
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Aryabumi et al.
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Stable Flow: Vital Layers For Training-free Image Editing
(2024)
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Avrahami et al.
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Slicegpt: Compress Large Language Models By Deleting Rows And Columns
(2024)
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Ashkboos et al.
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Videorefer Suite: Advancing Spatial-temporal Object Understanding With Video LLM
(2024)
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Yuan et al.
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BLIP3-KALE: Knowledge Augmented Large-scale Dense Captions
(2024)
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Awadalla et al.
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GPTVQ: The Blessing Of Dimensionality For LLM Quantization
(2024)
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Baalen et al.
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Revisiting In-context Learning With Long Context Language Models
(2024)
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Baek et al.
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Screenai: A Vision-language Model For UI And Infographics Understanding
(2024)
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Baechler et al.
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BASE TTS: Lessons From Building A Billion-parameter Text-to-speech Model On 100K Hours Of Data
(2024)
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Łajszczak et al.
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Chatmusician: Understanding And Generating Music Intrinsically With LLM
(2024)
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Yuan et al.
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Meissonic: Revitalizing Masked Generative Transformers For Efficient High-resolution Text-to-image Synthesis
(2024)
• No Venue
Bai et al.
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From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning
(2024)
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Bai et al.
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Longalign: A Recipe For Long Context Alignment Of Large Language Models
(2024)
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Bai et al.
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Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms
(2024)
• No Venue
Bai et al.
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Syncammaster: Synchronizing Multi-camera Video Generation From Diverse Viewpoints
(2024)
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Bai et al.
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Multi-agent Collaborative Data Selection For Efficient LLM Pretraining
(2024)
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Bai et al.
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Unitxt: Flexible, Shareable And Reusable Data Preparation And Evaluation For Generative AI
(2024)
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Bandel et al.
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Mechanistic Permutability: Match Features Across Layers
(2024)
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Nikita Balagansky, Ian Maksimov, Daniil Gavrilov
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LLM Augmented Llms: Expanding Capabilities Through Composition
(2024)
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Bansal et al.
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Boosting Healthcare Llms Through Retrieved Context
(2024)
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Jordi Bayarri-Planas, Ashwin Kumar Gururajan, Dario Garcia-Gasulla
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Xlstm: Extended Long Short-term Memory
(2024)
• Arxiv
• 55 citations
Beck et al.
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Llm2vec: Large Language Models Are Secretly Powerful Text Encoders
(2024)
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Behnamghader et al.
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Advancements In Generative AI: A Comprehensive Review Of Gans, GPT, Autoencoders, Diffusion Model, And Transformers
(2024)
• IEEE Access
• 163 citations
Bengesi et al.
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SUTRA: Scalable Multilingual Language Model Architecture
(2024)
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Bendale et al.
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Lora Learns Less And Forgets Less
(2024)
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Biderman et al.
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Fintral: A Family Of GPT-4 Level Multimodal Financial Large Language Models
(2024)
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Bhatia et al.
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Graph Of Thoughts: Solving Elaborate Problems With Large Language Models
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 179 citations
Besta et al.
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An Introduction To Vision-language Modeling
(2024)
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Bordes et al.
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INDUS: Effective And Efficient Language Models For Scientific Applications
(2024)
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Bhattacharjee et al.
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Make It Count: Text-to-image Generation With An Accurate Number Of Objects
(2024)
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Binyamin et al.
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Intelligent Clinical Documentation: Harnessing Generative AI For Patient-centric Clinical Note Generation
(2024)
• International Journal of Innovative Science and Research Technology (IJISRT)
• 991 citations
Anjanava Biswas, Wrick Talukdar
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Text2sql Is Not Enough: Unifying AI And Databases With TAG
(2024)
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Biswal et al.
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Visual Riddles: A Commonsense And World Knowledge Challenge For Large Vision And Language Models
(2024)
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Bitton-Guetta et al.
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Long Code Arena: A Set Of Benchmarks For Long-context Code Models
(2024)
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Bogomolov et al.
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Artificial Intelligence For Literature Reviews: Opportunities And Challenges
(2024)
• Artificial Intelligence Review
• 68 citations
Bolanos et al.
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Windows Agent Arena: Evaluating Multi-modal OS Agents At Scale
(2024)
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Bonatti et al.
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Transformers Meet Neural Algorithmic Reasoners
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Bounsi et al.
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Reducing Transformer Key-value Cache Size With Cross-layer Attention
(2024)
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Brandon et al.
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Roadmap Towards Superhuman Speech Understanding Using Large Language Models
(2024)
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Bu et al.
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Visrag: Vision-based Retrieval-augmented Generation On Multi-modality Documents
(2024)
• No Venue
Yu et al.
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Medusa: Simple LLM Inference Acceleration Framework With Multiple Decoding Heads
(2024)
• No Venue
Cai et al.
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Internlm2 Technical Report
(2024)
• No Venue
Cai et al.
-
On The Compositional Generalization Of Multimodal Llms For Medical Imaging
(2024)
• No Venue
Cai et al.
-
Ditctrl: Exploring Attention Control In Multi-modal Diffusion Transformer For Tuning-free Multi-prompt Longer Video Generation
(2024)
• No Venue
Cai et al.
-
ROCKET-1: Master Open-world Interaction With Visual-temporal Context Prompting
(2024)
• No Venue
Cai et al.
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Uni-smart: Universal Science Multimodal Analysis And Research Transformer
(2024)
• No Venue
Cai et al.
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An Image Is Worth 32 Tokens For Reconstruction And Generation
(2024)
• No Venue
Yu et al.
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From MOOC To MAIC: Reshaping Online Teaching And Learning Through Llm-driven Agents
(2024)
• No Venue
Yu et al.
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Compassjudger-1: All-in-one Judge Model Helps Model Evaluation And Evolution
(2024)
• No Venue
Cao et al.
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PERSONA: A Reproducible Testbed For Pluralistic Alignment
(2024)
• No Venue
Castricato et al.
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Stealing Part Of A Production Language Model
(2024)
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Carlini et al.
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Edgefusion: On-device Text-to-image Generation
(2024)
• No Venue
Castells et al.
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Web Agents With World Models: Learning And Leveraging Environment Dynamics In Web Navigation
(2024)
• No Venue
Chae et al.
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Language Models As Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning In Language Models
(2024)
• No Venue
Chae et al.
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Mceval: Massively Multilingual Code Evaluation
(2024)
• No Venue
Chai et al.
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Art Or Artifice? Large Language Models And The False Promise Of Creativity
(2024)
• Proceedings of the CHI Conference on Human Factors in Computing Systems
• 48 citations
Chakrabarty et al.
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How Do Large Language Models Acquire Factual Knowledge During Pretraining?
(2024)
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Chang et al.
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A Survey On Multimodal Large Language Models
(2024)
• National Science Review
• 177 citations
Yin et al.
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Towards Fast Multilingual LLM Inference: Speculative Decoding And Specialized Drafters
(2024)
• No Venue
Yi et al.
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EMOVA: Empowering Language Models To See, Hear And Speak With Vivid Emotions
(2024)
• No Venue
Chen et al.
-
Driving With Llms: Fusing Object-level Vector Modality For Explainable Autonomous Driving
(2024)
• 2024 IEEE International Conference on Robotics and Automation (ICRA)
• 53 citations
Chen et al.
-
Benchmarking Large Language Models On Controllable Generation Under Diversified Instructions
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 121 citations
Chen et al.
-
B4: Towards Optimal Assessment Of Plausible Code Solutions With Plausible Tests
(2024)
• No Venue
Chen et al.
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3dtopia-xl: Scaling High-quality 3D Asset Generation Via Primitive Diffusion
(2024)
• No Venue
Chen et al.
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Dolphin: Long Context As A New Modality For Energy-efficient On-device Language Models
(2024)
• No Venue
Chen et al.
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Compcap: Improving Multimodal Large Language Models With Composite Captions
(2024)
• No Venue
Chen et al.
-
BGE M3-embedding: Multi-lingual, Multi-functionality, Multi-granularity Text Embeddings Through Self-knowledge Distillation
(2024)
• Findings of the Association for Computational Linguistics ACL 2024
• 146 citations
Chen et al.
-
Bootstrapping Language Models With DPO Implicit Rewards
(2024)
• No Venue
Chen et al.
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Cod, Towards An Interpretable Medical Agent Using Chain Of Diagnosis
(2024)
• No Venue
Chen et al.
-
Contrastive Localized Language-image Pre-training
(2024)
• No Venue
Chen et al.
-
Diffusion Forcing: Next-token Prediction Meets Full-sequence Diffusion
(2024)
• No Venue
Chen et al.
-
Pixart-σ: Weak-to-strong Training Of Diffusion Transformer For 4K Text-to-image Generation
(2024)
• No Venue
Chen et al.
-
Huatuogpt-vision, Towards Injecting Medical Visual Knowledge Into Multimodal Llms At Scale
(2024)
• No Venue
Chen et al.
-
Expanding Performance Boundaries Of Open-source Multimodal Models With Model, Data, And Test-time Scaling
(2024)
• No Venue
Chen et al.
-
Evaluation Of Chatgpt Family Of Models For Biomedical Reasoning And Classification
(2024)
• Journal of the American Medical Informatics Association
• 48 citations
Chen et al.
-
EVLM: An Efficient Vision-language Model For Visual Understanding
(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.
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Mega-bench: Scaling Multimodal Evaluation To Over 500 Real-world Tasks
(2024)
• No Venue
Chen et al.
-
Internet Of Agents: Weaving A Web Of Heterogeneous Agents For Collaborative Intelligence
(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.
-
Interleaved Scene Graph For Interleaved Text-and-image Generation Assessment
(2024)
• No Venue
Chen et al.
-
Language Models Are Hidden Reasoners: Unlocking Latent Reasoning Capabilities Via Self-rewarding
(2024)
• No Venue
Chen et al.
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MS MARCO Web Search: A Large-scale Information-rich Web Dataset With Millions Of Real Click Labels
(2024)
• No Venue
Chen et al.
-
Motionllm: Understanding Human Behaviors From Human Motions And Videos
(2024)
• No Venue
Chen et al.
-
Mindsearch: Mimicking Human Minds Elicits Deep AI Searcher
(2024)
• No Venue
Chen et al.
-
Moto: Latent Motion Token As The Bridging Language For Robot Manipulation
(2024)
• No Venue
Chen et al.
-
Octopus V2: On-device Language Model For Super Agent
(2024)
• No Venue
Wei Chen, Zhiyuan Li
-
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
(2024)
• No Venue
Chen et al.
-
Octo-planner: On-device Language Model For Planner-action Agents
(2024)
• No Venue
Chen et al.
-
Spatialvlm: Endowing Vision-language Models With Spatial Reasoning Capabilities
(2024)
• No Venue
Chen et al.
-
Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery
(2024)
• No Venue
Chen et al.
-
Prefixquant: Static Quantization Beats Dynamic Through Prefixed Outliers In Llms
(2024)
• No Venue
Chen et al.
-
Premise Order Matters In Reasoning With Large Language Models
(2024)
• No Venue
Chen et al.
-
Reverse Thinking Makes Llms Stronger Reasoners
(2024)
• No Venue
Chen et al.
-
Sharegpt4video: Improving Video Understanding And Generation With Better Captions
(2024)
• No Venue
Chen et al.
-
Self-play Fine-tuning Converts Weak Language Models To Strong Language Models
(2024)
• No Venue
Chen et al.
-
On Domain-specific Post-training For Multimodal Large Language Models
(2024)
• No Venue
Cheng et al.
-
Visionts: Visual Masked Autoencoders Are Free-lunch Zero-shot Time Series Forecasters
(2024)
• No Venue
Chen et al.
-
Training-free Regional Prompting For Diffusion Transformers
(2024)
• No Venue
Chen et al.
-
Videollm-online: Online Video Large Language Model For Streaming Video
(2024)
• No Venue
Chen et al.
-
When Is Tree Search Useful For LLM Planning? It Depends On The Discriminator
(2024)
• World Wide Web
• 124 citations
Chen et al.
-
CORAL: Benchmarking Multi-turn Conversational Retrieval-augmentation Generation
(2024)
• No Venue
Cheng et al.
-
Dense Connector For Mllms
(2024)
• No Venue
Yao et al.
-
Longvila: Scaling Long-context Visual Language Models For Long Videos
(2024)
• No Venue
Xue et al.
-
Openmoe: An Early Effort On Open Mixture-of-experts Language Models
(2024)
• No Venue
Xue et al.
-
Accessing GPT-4 Level Mathematical Olympiad Solutions Via Monte Carlo Tree Self-refine With Llama-3 8B
(2024)
• No Venue
Zhang et al.
-
Compressed Chain Of Thought: Efficient Reasoning Through Dense Representations
(2024)
• No Venue
Jeffrey Cheng, Benjamin van Durme
-
Llmrec: Large Language Models With Graph Augmentation For Recommendation
(2024)
• Proceedings of the 17th ACM International Conference on Web Search and Data Mining
• 95 citations
Wei et al.
-
3dgraphllm: Combining Semantic Graphs And Large Language Models For 3D Scene Understanding
(2024)
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Tatiana Zemskova, Dmitry Yudin
-
Internlm-math: Open Math Large Language Models Toward Verifiable Reasoning
(2024)
• No Venue
Ying et al.
-
Balancing Pipeline Parallelism With Vocabulary Parallelism
(2024)
• No Venue
Yeung et al.
-
Videollama 2: Advancing Spatial-temporal Modeling And Audio Understanding In Video-llms
(2024)
• No Venue
Cheng et al.
-
Instruction Pre-training: Language Models Are Supervised Multitask Learners
(2024)
• No Venue
Cheng et al.
-
LEGENT: Open Platform For Embodied Agents
(2024)
• No Venue
Cheng et al.
-
Videgothink: Assessing Egocentric Video Understanding Capabilities For Embodied AI
(2024)
• No Venue
Cheng et al.
-
(A)I Am Not A Lawyer, But...: Engaging Legal Experts Towards Responsible LLM Policies For Legal Advice
(2024)
• FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency
• 49 citations
Cheong et al.
-
ANOLE: An Open, Autoregressive, Native Large Multimodal Models For Interleaved Image-text Generation
(2024)
• No Venue
Chern et al.
-
Hyperclova X Technical Report
(2024)
• No Venue
Yoo et al.
-
The Browsergym Ecosystem For Web Agent Research
(2024)
• No Venue
Chezelles et al.
-
Chatbot Arena: An Open Platform For Evaluating Llms By Human Preference
(2024)
• No Venue
Chiang et al.
-
Transformer Explainer: Interactive Learning Of Text-generative Models
(2024)
• No Venue
Cho et al.
-
M3docrag: Multi-modal Retrieval Is What You Need For Multi-page Multi-document Understanding
(2024)
• No Venue
Cho et al.
-
Large Language Models And User Trust: Consequence Of Self-referential Learning Loop And The Deskilling Of Healthcare Professionals
(2024)
• Journal of Medical Internet Research
• 56 citations
Avishek Choudhury, Zaria Chaudhry
-
Med42-v2: A Suite Of Clinical Llms
(2024)
• No Venue
Christophe et al.
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Beyond Fine-tuning: Unleashing The Potential Of Continuous Pretraining For Clinical Llms
(2024)
• No Venue
Christophe et al.
-
Visionllama: A Unified Llama Interface For Vision Tasks
(2024)
• No Venue
Chu 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
-
Are Vision-language Models Truly Understanding Multi-vision Sensor?
(2024)
• No Venue
Chung et al.
-
MMAU: A Holistic Benchmark Of Agent Capabilities Across Diverse Domains
(2024)
• No Venue
Yin et al.
-
Saullm-54b & Saullm-141b: Scaling Up Domain Adaptation For The Legal Domain
(2024)
• No Venue
Colombo 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.
-
VLOGGER: Multimodal Diffusion For Embodied Avatar Synthesis
(2024)
• No Venue
Corona et al.
-
Scalable High-resolution Pixel-space Image Synthesis With Hourglass Diffusion Transformers
(2024)
• No Venue
Crowson et al.
-
The Power Of Noise: Redefining Retrieval For RAG Systems
(2024)
• Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 73 citations
Cuconasu et al.
-
A Survey On Multimodal Large Language Models For Autonomous Driving
(2024)
• 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
• 121 citations
Cui et al.
-
Drive As You Speak: Enabling Human-like Interaction With Large Language Models In Autonomous Vehicles
(2024)
• 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
• 42 citations
Cui et al.
-
Receive, Reason, And React: Drive As You Say With Large Language Models In Autonomous Vehicles
(2024)
• IEEE Intelligent Transportation Systems Magazine
• 63 citations
Cui et al.
-
Large Legal Fictions: Profiling Legal Hallucinations In Large Language Models
(2024)
• Journal of Legal Analysis
• 75 citations
Dahl et al.
-
Be Yourself: Bounded Attention For Multi-subject Text-to-image Generation
(2024)
• No Venue
Dahary et al.
-
Deepseekmoe: Towards Ultimate Expert Specialization In Mixture-of-experts Language Models
(2024)
• No Venue
Dai et al.
-
NVLM: Open Frontier-class Multimodal Llms
(2024)
• No Venue
Dai et al.
-
Coconut: Modernizing COCO Segmentation
(2024)
• No Venue
Deng et al.
-
Swiftbrush V2: Make Your One-step Diffusion Model Better Than Its Teacher
(2024)
• No Venue
Dao et al.
-
Larimar: Large Language Models With Episodic Memory Control
(2024)
• No Venue
Das et al.
-
Self-recognition In Language Models
(2024)
• No Venue
Davidson et al.
-
Griffin: Mixing Gated Linear Recurrences With Local Attention For Efficient Language Models
(2024)
• No Venue
de et al.
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Causal Diffusion Transformers For Generative Modeling
(2024)
• No Venue
Deng et al.
-
A Review Of Modern Recommender Systems Using Generative Models (gen-recsys)
(2024)
• Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• 42 citations
Deldjoo et al.
-
Deepseek LLM: Scaling Open-source Language Models With Longtermism
(2024)
• Arxiv
• 91 citations
Deepseek-Ai et al.
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1.58-bit FLUX
(2024)
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Yang et al.
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Video As The New Language For Real-world Decision Making
(2024)
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Yang et al.
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Large Language Models As Markov Chains
(2024)
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Zekri et al.
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CLEAR: Character Unlearning In Textual And Visual Modalities
(2024)
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Dontsov et al.
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Prompt Problems: A New Programming Exercise For The Generative AI Era
(2024)
• Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1
• 88 citations
Denny et al.
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MUSCLE: A Model Update Strategy For Compatible LLM Evolution
(2024)
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Echterhoff et al.
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A Simple And Effective L_2 Norm-based Strategy For KV Cache Compression
(2024)
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Devoto et al.
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Unveiling Encoder-free Vision-language Models
(2024)
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Diao et al.
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Longrope: Extending LLM Context Window Beyond 2 Million Tokens
(2024)
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Ding et al.
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Data Augmentation Using Large Language Models: Data Perspectives, Learning Paradigms And Challenges
(2024)
• Findings of the Association for Computational Linguistics ACL 2024
• 42 citations
Ding et al.
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Minicpm-v: A GPT-4V Level MLLM On Your Phone
(2024)
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Yao et al.
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Symbolicai: A Framework For Logic-based Approaches Combining Generative Models And Solvers
(2024)
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Dinu et al.
-
Self-collaboration Code Generation Via Chatgpt
(2024)
• ACM Transactions on Software Engineering and Methodology
• 63 citations
Dong et al.
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Insight-v: Exploring Long-chain Visual Reasoning With Multimodal Large Language Models
(2024)
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Dong et al.
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FAN: Fourier Analysis Networks
(2024)
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Dong et al.
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Baichuanseed: Sharing The Potential Of Extensive Data Collection And Deduplication By Introducing A Competitive Large Language Model Baseline
(2024)
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Dong et al.
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Hymba: A Hybrid-head Architecture For Small Language Models
(2024)
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Dong et al.
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Progressive Multimodal Reasoning Via Active Retrieval
(2024)
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Dong et al.
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Quiet-star: Language Models Can Teach Themselves To Think Before Speaking
(2024)
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Zelikman et al.
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Toward General Instruction-following Alignment For Retrieval-augmented Generation
(2024)
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Dong et al.
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Generative Pre-trained Transformer: A Comprehensive Review On Enabling Technologies, Potential Applications, Emerging Challenges, And Future Directions
(2024)
• IEEE Access
• 333 citations
Yenduri et al.
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Differential Transformer
(2024)
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Ye et al.
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Generative Artificial Intelligence Enhances Creativity But Reduces The Diversity Of Novel Content
(2024)
• Science Advances
• 185 citations
Anil R. Doshi, Oliver P. Hauser
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Stepcoder: Improve Code Generation With Reinforcement Learning From Compiler Feedback
(2024)
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Dou et al.
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A Comparative Study Of Ai-generated (GPT-4) And Human-crafted Mcqs In Programming Education
(2024)
• Proceedings of the 26th Australasian Computing Education Conference
• 46 citations
Doughty et al.
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Flashspeech: Efficient Zero-shot Speech Synthesis
(2024)
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Ye et al.
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Physics Of Language Models: Part 2.2, How To Learn From Mistakes On Grade-school Math Problems
(2024)
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Ye et al.
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Chunkattention: Efficient Self-attention With Prefix-aware KV Cache And Two-phase Partition
(2024)
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Ye et al.
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Unlocking Continual Learning Abilities In Language Models
(2024)
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Du et al.
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Voco-llama: Towards Vision Compression With Large Language Models
(2024)
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Ye et al.
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Mplug-owl3: Towards Long Image-sequence Understanding In Multi-modal Large Language Models
(2024)
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Ye et al.
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Dreamreward: Text-to-3d Generation With Human Preference
(2024)
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Ye et al.
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An Interactive Agent Foundation Model
(2024)
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Durante et al.
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The Llama 3 Herd Of Models
(2024)
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Dubey et al.
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Efficient Exploration For Llms
(2024)
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Dwaracherla et al.
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Build-a-scene: Interactive 3D Layout Control For Diffusion-based Image Generation
(2024)
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Abdelrahman Eldesokey, Peter Wonka
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Scalable Pre-training Of Large Autoregressive Image Models
(2024)
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El-Nouby et al.
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Layerskip: Enabling Early Exit Inference And Self-speculative Decoding
(2024)
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Elhoushi et al.
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Not All Language Model Features Are Linear
(2024)
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Engels et al.
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Ragas: Automated Evaluation Of Retrieval Augmented Generation
(2024)
• Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
• 47 citations
Es et al.
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Scaling Rectified Flow Transformers For High-resolution Image Synthesis
(2024)
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Esser et al.
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A Survey On RAG Meeting Llms: Towards Retrieval-augmented Large Language Models
(2024)
• Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• 145 citations
Fan et al.
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Fluid: Scaling Autoregressive Text-to-image Generative Models With Continuous Tokens
(2024)
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Fan et al.
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Beware Of Metacognitive Laziness: Effects Of Generative Artificial Intelligence On Learning Motivation, Processes, And Performance
(2024)
• British Journal of Educational Technology
• 97 citations
Fan et al.
-
A Bibliometric Review Of Large Language Models Research From 2017 To 2023
(2024)
• ACM Transactions on Intelligent Systems and Technology
• 92 citations
Fan et al.
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Mmfactory: A Universal Solution Search Engine For Vision-language Tasks
(2024)
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Wan-Cyuan Fan, Tanzila Rahman, Leonid Sigal
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Llama-omni: Seamless Speech Interaction With Large Language Models
(2024)
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Fang et al.
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Bias Of Ai-generated Content: An Examination Of News Produced By Large Language Models
(2024)
• Scientific Reports
• 82 citations
Fang et al.
-
PUMA: Empowering Unified MLLM With Multi-granular Visual Generation
(2024)
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Fang et al.
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Maskllm: Learnable Semi-structured Sparsity For Large Language Models
(2024)
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Fang et al.
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Mmbench-video: A Long-form Multi-shot Benchmark For Holistic Video Understanding
(2024)
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Fang et al.
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VILA^2: VILA Augmented VILA
(2024)
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Fang et al.
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Bigcodebench: Benchmarking Code Generation With Diverse Function Calls And Complex Instructions
(2024)
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Zhuo et al.
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Colpali: Efficient Document Retrieval With Vision Language Models
(2024)
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Faysse et al.
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Test Of Time: A Benchmark For Evaluating Llms On Temporal Reasoning
(2024)
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Fatemi et al.
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Croissantllm: A Truly Bilingual French-english Language Model
(2024)
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Faysse et al.
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A Survey On Large Language Model (LLM) Security And Privacy: The Good, The Bad, And The Ugly
(2024)
• High-Confidence Computing
• 508 citations
Yao et al.
-
Prompting Is All You Need: Automated Android Bug Replay With Large Language Models
(2024)
• Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
• 56 citations
Sidong Feng, Chunyang Chen
-
Natural Language Reinforcement Learning
(2024)
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Feng et al.
-
Genai Against Humanity: Nefarious Applications Of Generative Artificial Intelligence And Large Language Models
(2024)
• Journal of Computational Social Science
• 95 citations
Emilio Ferrara
-
In-context Learning Enables Multimodal Large Language Models To Classify Cancer Pathology Images
(2024)
• Nature Communications
• 45 citations
Ferber et al.
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Mme-survey: A Comprehensive Survey On Evaluation Of Multimodal Llms
(2024)
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Fu et al.
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RAG Foundry: A Framework For Enhancing Llms For Retrieval Augmented Generation
(2024)
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Fleischer et al.
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Human-like Episodic Memory For Infinite Context Llms
(2024)
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Fountas et al.
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Lazyllm: Dynamic Token Pruning For Efficient Long Context LLM Inference
(2024)
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Fu et al.
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Efficiently Serving LLM Reasoning Programs With Certaindex
(2024)
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Fu et al.
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BLINK: Multimodal Large Language Models Can See But Not Perceive
(2024)
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Fu et al.
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Data Engineering For Scaling Language Models To 128K Context
(2024)
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Fu et al.
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Chatglm: A Family Of Large Language Models From GLM-130B To GLM-4 All Tools
(2024)
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Glm et al.
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Video-mme: The First-ever Comprehensive Evaluation Benchmark Of Multi-modal Llms In Video Analysis
(2024)
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Fu et al.
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Aligning Diffusion Models With Noise-conditioned Perception
(2024)
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Gambashidze et al.
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Bias And Fairness In Large Language Models: A Survey
(2024)
• Computational Linguistics
• 187 citations
Gallegos et al.
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Similarity Is Not All You Need: Endowing Retrieval Augmented Generation With Multi Layered Thoughts
(2024)
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Gan et al.
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Stream Of Search (sos): Learning To Search In Language
(2024)
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Gandhi et al.
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Law Of Vision Representation In Mllms
(2024)
• No Venue
Yang et al.
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Harnessing The Power Of Llms In Practice: A Survey On Chatgpt And Beyond
(2024)
• ACM Transactions on Knowledge Discovery from Data
• 260 citations
Yang et al.
-
Omni-math: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
(2024)
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Gao et al.
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Efficient Tool Use With Chain-of-abstraction Reasoning
(2024)
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Gao et al.
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Towards A Unified View Of Preference Learning For Large Language Models: A Survey
(2024)
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Gao et al.
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Seerattention: Learning Intrinsic Sparse Attention In Your Llms
(2024)
• No Venue
Gao et al.
-
Text-to-sql Empowered By Large Language Models: A Benchmark Evaluation
(2024)
• Proceedings of the VLDB Endowment
• 71 citations
Gao et al.
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Flowmind: Automatic Workflow Generation With Llms
(2024)
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Zeng et al.
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Skywork-math: Data Scaling Laws For Mathematical Reasoning In Large Language Models -- The Story Goes On
(2024)
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Zeng et al.
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Longins: A Challenging Long-context Instruction-based Exam For Llms
(2024)
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Gavin et al.
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Kvasir-vqa: A Text-image Pair GI Tract Dataset
(2024)
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Gautam et al.
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Easyref: Omni-generalized Group Image Reference For Diffusion Models Via Multimodal LLM
(2024)
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Zong et al.
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Towards Flexible Perception With Visual Memory
(2024)
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Geirhos et al.
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Astraios: Parameter-efficient Instruction Tuning Code Large Language Models
(2024)
• No Venue
Zhuo et al.
-
Gemini 1.5: Unlocking Multimodal Understanding Across Millions Of Tokens Of Context
(2024)
• Arxiv
• 147 citations
Team et al.
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Large Language Models Are Few-shot Summarizers: Multi-intent Comment Generation Via In-context Learning
(2024)
• Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
• 57 citations
Geng et al.
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Polynomial Composition Activations: Unleashing The Dynamics Of Large Language Models
(2024)
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Zhuo et al.
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Patchscope: A Unifying Framework For Inspecting Hidden Representations Of Language Models
(2024)
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Ghandeharioun et al.
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Ferret-ui: Grounded Mobile UI Understanding With Multimodal Llms
(2024)
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You et al.
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Zhongjing: Enhancing The Chinese Medical Capabilities Of Large Language Model Through Expert Feedback And Real-world Multi-turn Dialogue
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 48 citations
Yang et al.
-
Tinyllava: A Framework Of Small-scale Large Multimodal Models
(2024)
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Zhou et al.
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Better & Faster Large Language Models Via Multi-token Prediction
(2024)
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Gloeckle et al.
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Is It Really Long Context If All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
(2024)
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Goldman et al.
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Visionzip: Longer Is Better But Not Necessary In Vision Language Models
(2024)
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Yang et al.
-
Omnifusion Technical Report
(2024)
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Goncharova et al.
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Av-odyssey Bench: Can Your Multimodal Llms Really Understand Audio-visual Information?
(2024)
• No Venue
Gong et al.
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Kolmogorov-arnold Transformer
(2024)
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Xingyi Yang, Xinchao Wang
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Qwen2 Technical Report
(2024)
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Yang et al.
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Learning Universal Predictors
(2024)
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Grau-Moya et al.
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Specialized Language Models With Cheap Inference From Limited Domain Data
(2024)
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Grangier et al.
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Olmo: Accelerating The Science Of Language Models
(2024)
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Groeneveld et al.
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Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
(2024)
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Grosnit et al.
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UCFE: A User-centric Financial Expertise Benchmark For Large Language Models
(2024)
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Yang et al.
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Search, Verify And Feedback: Towards Next Generation Post-training Paradigm Of Foundation Models Via Verifier Engineering
(2024)
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Guan et al.
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DART: Denoising Autoregressive Transformer For Scalable Text-to-image Generation
(2024)
• No Venue
Gu et al.
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Mentallama: Interpretable Mental Health Analysis On Social Media With Large Language Models
(2024)
• Proceedings of the ACM Web Conference 2024
• 47 citations
Yang et al.
-
Mastering Text-to-image Diffusion: Recaptioning, Planning, And Generating With Multimodal Llms
(2024)
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Yang et al.
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Sampart3d: Segment Any Part In 3D Objects
(2024)
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Yang et al.
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Thinking In Space: How Multimodal Large Language Models See, Remember, And Recall Spaces
(2024)
• No Venue
Yang et al.
-
Detecting And Preventing Hallucinations In Large Vision Language Models
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 51 citations
Anisha Gunjal, Jihan Yin, Erhan Bas
-
Do Large Language Models Latently Perform Multi-hop Reasoning?
(2024)
• No Venue
Yang et al.
-
Exploring The Potential Of Chatgpt In Automated Code Refinement: An Empirical Study
(2024)
• Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
• 52 citations
Guo et al.
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Efficient Continual Pre-training By Mitigating The Stability Gap
(2024)
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Guo et al.
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Deepseek-coder: When The Large Language Model Meets Programming -- The Rise Of Code Intelligence
(2024)
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Guo et al.
-
Large Language Model Based Multi-agents: A Survey Of Progress And Challenges
(2024)
• Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence
• 106 citations
Guo et al.
-
Mammoth-vl: Eliciting Multimodal Reasoning With Instruction Tuning At Scale
(2024)
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Guo et al.
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Fuzzcoder: Byte-level Fuzzing Test Via Large Language Model
(2024)
• No Venue
Yang et al.
-
Evaluating And Aligning Codellms On Human Preference
(2024)
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Yang et al.
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Buffer Of Thoughts: Thought-augmented Reasoning With Large Language Models
(2024)
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Yang et al.
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Pingpong: A Benchmark For Role-playing Language Models With User Emulation And Multi-model Evaluation
(2024)
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Ilya Gusev
-
3D-GRAND: A Million-scale Dataset For 3d-llms With Better Grounding And Less Hallucination
(2024)
• No Venue
Yang et al.
-
Recent Advances In Generative AI And Large Language Models: Current Status, Challenges, And Perspectives
(2024)
• IEEE Transactions on Artificial Intelligence
• 42 citations
Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
-
Cogvideox: Text-to-video Diffusion Models With An Expert Transformer
(2024)
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Yang et al.
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Model Merging And Safety Alignment: One Bad Model Spoils The Bunch
(2024)
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Hammoud et al.
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Powerinfer-2: Fast Large Language Model Inference On A Smartphone
(2024)
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Xue et al.
-
Infimm-webmath-40b: Advancing Multimodal Pre-training For Enhanced Mathematical Reasoning
(2024)
• No Venue
Han et al.
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Flex3d: Feed-forward 3D Generation With Flexible Reconstruction Model And Input View Curation
(2024)
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Han et al.
-
Face Adapter For Pre-trained Diffusion Models With Fine-grained ID And Attribute Control
(2024)
• No Venue
Han et al.
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Spotting Llms With Binoculars: Zero-shot Detection Of Machine-generated Text
(2024)
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Hans et al.
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Token-budget-aware LLM Reasoning
(2024)
• No Venue
Han et al.
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Rethinking Token Reduction In Mllms: Towards A Unified Paradigm For Training-free Acceleration
(2024)
• No Venue
Han et al.
-
Training Large Language Models To Reason In A Continuous Latent Space
(2024)
• No Venue
Hao et al.
-
Vision-language Models For Medical Report Generation And Visual Question Answering: A Review
(2024)
• Frontiers in Artificial Intelligence
• 52 citations
Iryna Hartsock, Ghulam Rasool
-
Teaching Large Language Models To Reason With Reinforcement Learning
(2024)
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Havrilla et al.
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Data Mixture Inference: What Do BPE Tokenizers Reveal About Their Training Data?
(2024)
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Hayase et al.
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Chinese Simpleqa: A Chinese Factuality Evaluation For Large Language Models
(2024)
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He et al.
-
Annollm: Making Large Language Models To Be Better Crowdsourced Annotators
(2024)
• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)
• 44 citations
He et al.
-
Mmworld: Towards Multi-discipline Multi-faceted World Model Evaluation In Videos
(2024)
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He et al.
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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)
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He et al.
-
Inference Performance Optimization For Large Language Models On Cpus
(2024)
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He et al.
-
MLP-KAN: Unifying Deep Representation And Function Learning
(2024)
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He et al.
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Webvoyager: Building An End-to-end Web Agent With Large Multimodal Models
(2024)
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He et al.
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What Matters In Transformers? Not All Attention Is Needed
(2024)
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He et al.
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Distilling An End-to-end Voice Assistant Without Instruction Training Data
(2024)
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Held et al.
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Algorithmic Progress In Language Models
(2024)
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Ho et al.
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Llava-gemma: Accelerating Multimodal Foundation Models With A Compact Language Model
(2024)
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Hinck et al.
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RULER: What's The Real Context Size Of Your Long-context Language Models?
(2024)
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Hsieh et al.
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Cogvlm2: Visual Language Models For Image And Video Understanding
(2024)
• No Venue
Hong et al.
-
Large Language Models Are Zero-shot Rankers For Recommender Systems
(2024)
• Lecture Notes in Computer Science
• 133 citations
Hou et al.
-
Longrecipe: Recipe For Efficient Long Context Generalization In Large Languge Models
(2024)
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Hu et al.
-
Improving The Language Understanding Capabilities Of Large Language Models Using Reinforcement Learning
(2024)
• Journal of the American Medical Informatics Association
• 155 citations
Hu et al.
-
Exploring Model Kinship For Merging Large Language Models
(2024)
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Hu et al.
-
Automated Design Of Agentic Systems
(2024)
• No Venue
Shengran Hu, Cong Lu, Jeff Clune
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Bad Actor, Good Advisor: Exploring The Role Of Large Language Models In Fake News Detection
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 80 citations
Hu et al.
-
ELLA: Equip Diffusion Models With LLM For Enhanced Semantic Alignment
(2024)
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Hu et al.
-
Snapgen: Taming High-resolution Text-to-image Models For Mobile Devices With Efficient Architectures And Training
(2024)
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Hu et al.
-
Openrlhf: An Easy-to-use, Scalable And High-performance RLHF Framework
(2024)
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Hu et al.
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Minicpm: Unveiling The Potential Of Small Language Models With Scalable Training Strategies
(2024)
• No Venue
Hu et al.
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Mplug-docowl2: High-resolution Compressing For Ocr-free Multi-page Document Understanding
(2024)
• No Venue
Hu et al.
-
Pokéllmon: A Human-parity Agent For Pokémon Battles With Large Language Models
(2024)
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Sihao Hu, Tiansheng Huang, Ling Liu
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Visual Sketchpad: Sketching As A Visual Chain Of Thought For Multimodal Language Models
(2024)
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Hu et al.
-
Yulan-mini: An Open Data-efficient Language Model
(2024)
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Hu et al.
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Fourier Position Embedding: Enhancing Attention's Periodic Extension For Length Generalization
(2024)
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Hua et al.
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Mh-moe:multi-head Mixture-of-experts
(2024)
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Huang et al.
-
Compression Represents Intelligence Linearly
(2024)
• No Venue
Huang et al.
-
Audiogpt: Understanding And Generating Speech, Music, Sound, And Talking Head
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 57 citations
Huang et al.
-
Can Knowledge Editing Really Correct Hallucinations?
(2024)
• No Venue
Huang et al.
-
Autocrawler: A Progressive Understanding Web Agent For Web Crawler Generation
(2024)
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Huang et al.
-
Billm: Pushing The Limit Of Post-training Quantization For Llms
(2024)
• No Venue
Huang et al.
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LVCD: Reference-based Lineart Video Colorization With Diffusion Models
(2024)
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Zhitong Huang, Mohan Zhang, Jing Liao
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Deciphering Cross-modal Alignment In Large Vision-language Models With Modality Integration Rate
(2024)
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Huang et al.
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LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation
(2024)
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Huang et al.
-
Vbench++: Comprehensive And Versatile Benchmark Suite For Video Generative Models
(2024)
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Huang et al.
-
Mmevalpro: Calibrating Multimodal Benchmarks Towards Trustworthy And Efficient Evaluation
(2024)
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Huang et al.
-
Opencoder: The Open Cookbook For Top-tier Code Large Language Models
(2024)
• No Venue
Huang et al.
-
A Survey Of Safety And Trustworthiness Of Large Language Models Through The Lens Of Verification And Validation
(2024)
• Artificial Intelligence Review
• 50 citations
Huang et al.
-
Trustllm: Trustworthiness In Large Language Models
(2024)
• Arxiv
• 40 citations
Huang et al.
-
Promises And Challenges Of Generative Artificial Intelligence For Human Learning
(2024)
• Nature Human Behaviour
• 118 citations
Yan et al.
-
Sleeper Agents: Training Deceptive Llms That Persist Through Safety Training
(2024)
• No Venue
Hubinger et al.
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Simple And Scalable Strategies To Continually Pre-train Large Language Models
(2024)
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Ibrahim et al.
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Smaller Language Models Are Better Instruction Evolvers
(2024)
• No Venue
Hui et al.
-
Generative Artificial Intelligence In Learning Analytics: Contextualising Opportunities And Challenges Through The Learning Analytics Cycle
(2024)
• Proceedings of the 14th Learning Analytics and Knowledge Conference
• 43 citations
Lixiang Yan, Roberto Martinez-Maldonado, Dragan Gašević
-
To Believe Or Not To Believe Your LLM
(2024)
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Yadkori et al.
-
Transformerfam: Feedback Attention Is Working Memory
(2024)
• No Venue
Hwang et al.
-
Spatiotemporal Skip Guidance For Enhanced Video Diffusion Sampling
(2024)
• No Venue
Hyung et al.
-
Gitchameleon: Unmasking The Version-switching Capabilities Of Code Generation Models
(2024)
• No Venue
Islah et al.
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From Image To Language: A Critical Analysis Of Visual Question Answering (VQA) Approaches, Challenges, And Opportunities
(2024)
• Information Fusion
• 48 citations
Ishmam et al.
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A Comprehensive Evaluation Of Large Language Models On Benchmark Biomedical Text Processing Tasks
(2024)
• Computers in Biology and Medicine
• 54 citations
Jahan et al.
-
Repeat After Me: Transformers Are Better Than State Space Models At Copying
(2024)
• No Venue
Jelassi et al.
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Wavtokenizer: An Efficient Acoustic Discrete Codec Tokenizer For Audio Language Modeling
(2024)
• No Venue
Ji et al.
-
Symdpo: Boosting In-context Learning Of Large Multimodal Models With Symbol Demonstration Direct Preference Optimization
(2024)
• No Venue
Jia et al.
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LEOPARD : A Vision Language Model For Text-rich Multi-image Tasks
(2024)
• No Venue
Jia et al.
-
Genai Arena: An Open Evaluation Platform For Generative Models
(2024)
• No Venue
Jiang et al.
-
E5-V: Universal Embeddings With Multimodal Large Language Models
(2024)
• No Venue
Jiang et al.
-
Comat: Aligning Text-to-image Diffusion Model With Image-to-text Concept Matching
(2024)
• No Venue
Jiang et al.
-
Many-shot In-context Learning In Multimodal Foundation Models
(2024)
• No Venue
Jiang et al.
-
Instruction-tuned Language Models Are Better Knowledge Learners
(2024)
• No Venue
Jiang et al.
-
Megascale: Scaling Large Language Model Training To More Than 10,000 Gpus
(2024)
• No Venue
Jiang et al.
-
Mora: High-rank Updating For Parameter-efficient Fine-tuning
(2024)
• No Venue
Jiang et al.
-
Mmsearch: Benchmarking The Potential Of Large Models As Multi-modal Search Engines
(2024)
• No Venue
Jiang et al.
-
Dsbench: How Far Are Data Science Agents To Becoming Data Science Experts?
(2024)
• No Venue
Jing et al.
-
Matching Patients To Clinical Trials With Large Language Models
(2024)
• Nature Communications
• 77 citations
Jin et al.
-
Genegpt: Augmenting Large Language Models With Domain Tools For Improved Access To Biomedical Information
(2024)
• Bioinformatics
• 95 citations
Jin et al.
-
LLM Maybe Longlm: Self-extend LLM Context Window Without Tuning
(2024)
• No Venue
Jin et al.
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Teach AI How To Code: Using Large Language Models As Teachable Agents For Programming Education
(2024)
• Proceedings of the CHI Conference on Human Factors in Computing Systems
• 40 citations
Jin et al.
-
VARCO-VISION: Expanding Frontiers In Korean Vision-language Models
(2024)
• No Venue
Ju et al.
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Naturalspeech 3: Zero-shot Speech Synthesis With Factorized Codec And Diffusion Models
(2024)
• No Venue
Ju et al.
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Hydragen: High-throughput LLM Inference With Shared Prefixes
(2024)
• No Venue
Juravsky et al.
-
LLM Comparator: Visual Analytics For Side-by-side Evaluation Of Large Language Models
(2024)
• No Venue
Kahng et al.
-
Spectra: A Comprehensive Study Of Ternary, Quantized, And FP16 Language Models
(2024)
• No Venue
Kaushal et al.
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Redpajama: An Open Dataset For Training Large Language Models
(2024)
• No Venue
Weber et al.
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Configurable Foundation Models: Building Llms From A Modular Perspective
(2024)
• No Venue
Xiao et al.
-
MEDIC: Towards A Comprehensive Framework For Evaluating Llms In Clinical Applications
(2024)
• No Venue
Kanithi et al.
-
Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web
(2024)
• No Venue
Kapoor et al.
-
Course-correction: Safety Alignment Using Synthetic Preferences
(2024)
• No Venue
Xu et al.
-
Chatglm-math: Improving Math Problem-solving In Large Language Models With A Self-critique Pipeline
(2024)
• No Venue
Xu et al.
-
Vineppo: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
(2024)
• No Venue
Kazemnejad et al.
-
ATHAR: A High-quality And Diverse Dataset For Classical Arabic To English Translation
(2024)
• No Venue
Mohammed Khalil, Mohammed Sabry
-
Prometheus 2: An Open Source Language Model Specialized In Evaluating Other Language Models
(2024)
• No Venue
Kim et al.
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Evaluating Language Models As Synthetic Data Generators
(2024)
• No Venue
Kim et al.
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Beyondscene: Higher-resolution Human-centric Scene Generation With Pretrained Diffusion
(2024)
• No Venue
Kim et al.
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"i'm Not Sure, But...": Examining The Impact Of Large Language Models' Uncertainty Expression On User Reliance And Trust
(2024)
• FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency
• 44 citations
Kim et al.
-
Mindfuldiary: Harnessing Large Language Model To Support Psychiatric Patients' Journaling
(2024)
• Proceedings of the CHI Conference on Human Factors in Computing Systems
• 57 citations
Kim et al.
-
Understanding Large-language Model (llm)-powered Human-robot Interaction
(2024)
• Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
• 56 citations
Callie Y. Kim, Christine P. Lee, Bilge Mutlu
-
Sdpo: Don't Use Your Data All At Once
(2024)
• No Venue
Kim et al.
-
THEANINE: Revisiting Memory Management In Long-term Conversations With Timeline-augmented Response Generation
(2024)
• No Venue
Kim et al.
-
Better Zero-shot Reasoning With Role-play Prompting
(2024)
• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
• 50 citations
Kong et al.
-
Evaluating Large Language Models In Theory Of Mind Tasks
(2024)
• Proceedings of the National Academy of Sciences
• 62 citations
Michal Kosinski
-
Contrastive Preference Optimization: Pushing The Boundaries Of LLM Performance In Machine Translation
(2024)
• No Venue
Xu et al.
-
Large Language Models For Generative Information Extraction: A Survey
(2024)
• Frontiers of Computer Science
• 82 citations
Xu et al.
-
Think: Thinner Key Cache By Query-driven Pruning
(2024)
• No Venue
Xu et al.
-
Fact, Fetch, And Reason: A Unified Evaluation Of Retrieval-augmented Generation
(2024)
• No Venue
Krishna et al.
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Can Large Language Models Explore In-context?
(2024)
• No Venue
Krishnamurthy et al.
-
Retrieval-augmented Generation With Knowledge Graphs For Customer Service Question Answering
(2024)
• Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 43 citations
Xu et al.
-
Theagentcompany: Benchmarking LLM Agents On Consequential Real World Tasks
(2024)
• No Venue
Xu et al.
-
Training Language Models To Self-correct Via Reinforcement Learning
(2024)
• No Venue
Kumar et al.
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Ootdiffusion: Outfitting Fusion Based Latent Diffusion For Controllable Virtual Try-on
(2024)
• No Venue
Xu et al.
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Babilong: Testing The Limits Of Llms With Long Context Reasoning-in-a-haystack
(2024)
• No Venue
Kuratov et al.
-
Pllava : Parameter-free Llava Extension From Images To Videos For Video Dense Captioning
(2024)
• No Venue
Xu et al.
-
Stronger Models Are NOT Stronger Teachers For Instruction Tuning
(2024)
• No Venue
Xu et al.
-
Hallucination Is Inevitable: An Innate Limitation Of Large Language Models
(2024)
• Arxiv
• 90 citations
Ziwei Xu, Sanjay Jain, Mohan Kankanhalli
-
Onebit: Towards Extremely Low-bit Large Language Models
(2024)
• No Venue
Xu et al.
-
Autowebglm: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
(2024)
• No Venue
Lai et al.
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Biomistral: A Collection Of Open-source Pretrained Large Language Models For Medical Domains
(2024)
• Findings of the Association for Computational Linguistics ACL 2024
• 79 citations
Labrak et al.
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Step-dpo: Step-wise Preference Optimization For Long-chain Reasoning Of Llms
(2024)
• No Venue
Lai et al.
-
LISA: Reasoning Segmentation Via Large Language Model
(2024)
• 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 86 citations
Lai et al.
-
Revisit Large-scale Image-caption Data In Pre-training Multimodal Foundation Models
(2024)
• No Venue
Lai et al.
-
TÜLU 3: Pushing Frontiers In Open Language Model Post-training
(2024)
• No Venue
Lambert et al.
-
Rewardbench: Evaluating Reward Models For Language Modeling
(2024)
• No Venue
Lambert et al.
-
Drivegpt4: Interpretable End-to-end Autonomous Driving Via Large Language Model
(2024)
• IEEE Robotics and Automation Letters
• 113 citations
Xu et al.
-
No More Adam: Learning Rate Scaling At Initialization Is All You Need
(2024)
• No Venue
Xu et al.
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Magpie: Alignment Data Synthesis From Scratch By Prompting Aligned Llms With Nothing
(2024)
• No Venue
Xu et al.
-
Collavo: Crayon Large Language And Vision Model
(2024)
• No Venue
Lee et al.
-
Fine-tuning Chatgpt For Automatic Scoring
(2024)
• Computers and Education: Artificial Intelligence
• 99 citations
Ehsan Latif, Xiaoming Zhai
-
What Matters When Building Vision-language Models?
(2024)
• No Venue
Laurençon et al.
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Building And Better Understanding Vision-language Models: Insights And Future Directions
(2024)
• No Venue
Laurençon et al.
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Unlocking The Conversion Of Web Screenshots Into HTML Code With The Websight Dataset
(2024)
• No Venue
Hugo Laurençon, Léo Tronchon, Victor Sanh
-
The Opportunities And Risks Of Large Language Models In Mental Health
(2024)
• JMIR Mental Health
• 51 citations
Lawrence et al.
-
Applying Large Language Models And Chain-of-thought For Automatic Scoring
(2024)
• Computers and Education: Artificial Intelligence
• 64 citations
Lee et al.
-
A Human-inspired Reading Agent With Gist Memory Of Very Long Contexts
(2024)
• No Venue
Lee et al.
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Gecko: Versatile Text Embeddings Distilled From Large Language Models
(2024)
• No Venue
Lee et al.
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Harnessing Chatgpt For Thematic Analysis: Are We Ready?
(2024)
• Journal of Medical Internet Research
• 48 citations
Lee et al.
-
LLM2LLM: Boosting Llms With Novel Iterative Data Enhancement
(2024)
• No Venue
Lee et al.
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Phantom Of Latent For Large Language And Vision Models
(2024)
• No Venue
Lee et al.
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Moai: Mixture Of All Intelligence For Large Language And Vision Models
(2024)
• No Venue
Lee et al.
-
Trol: Traversal Of Layers For Large Language And Vision Models
(2024)
• No Venue
Lee et al.
-
Streammultidiffusion: Real-time Interactive Generation With Region-based Semantic Control
(2024)
• No Venue
Lee et al.
-
Videoguide: Improving Video Diffusion Models Without Training Through A Teacher's Guide
(2024)
• No Venue
Lee et al.
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Androidlab: Training And Systematic Benchmarking Of Android Autonomous Agents
(2024)
• No Venue
Xu et al.
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Materials Science In The Era Of Large Language Models: A Perspective
(2024)
• Digital Discovery
• 40 citations
Ge Lei, Ronan Docherty, Samuel J. Cooper
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Training Llms Over Neurally Compressed Text
(2024)
• No Venue
Lester et al.
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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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Dotamath: Decomposition Of Thought With Code Assistance And Self-correction For Mathematical Reasoning
(2024)
• No Venue
Li et al.
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Direct Preference Knowledge Distillation For Large Language Models
(2024)
• No Venue
Li et al.
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Datacomp-lm: In Search Of The Next Generation Of Training Sets For Language Models
(2024)
• No Venue
Li et al.
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Common 7B Language Models Already Possess Strong Math Capabilities
(2024)
• No Venue
Li et al.
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Brushedit: All-in-one Image Inpainting And Editing
(2024)
• No Venue
Li et al.
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Controlnet++: Improving Conditional Controls With Efficient Consistency Feedback
(2024)
• No Venue
Li et al.
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Your Mixture-of-experts LLM Is Secretly An Embedding Model For Free
(2024)
• No Venue
Ziyue Li, Tianyi Zhou
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From Generation To Judgment: Opportunities And Challenges Of Llm-as-a-judge
(2024)
• No Venue
Li et al.
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EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
(2024)
• No Venue
Li et al.
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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.
-
K-sort Arena: Efficient And Reliable Benchmarking For Generative Models Via K-wise Human Preferences
(2024)
• No Venue
Li et al.
-
More Agents Is All You Need
(2024)
• No Venue
Li et al.
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Mini-gemini: Mining The Potential Of Multi-modality Vision Language Models
(2024)
• No Venue
Li et al.
-
Long-context Llms Struggle With Long In-context Learning
(2024)
• No Venue
Li et al.
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Making Text Embedders Few-shot Learners
(2024)
• No Venue
Li et al.
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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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Scilitllm: How To Adapt Llms For Scientific Literature Understanding
(2024)
• No Venue
Li et al.
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Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel In Long-horizon Tasks
(2024)
• No Venue
Li et al.
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Omnibench: Towards The Future Of Universal Omni-language Models
(2024)
• No Venue
Li et al.
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Naturalbench: Evaluating Vision-language Models On Natural Adversarial Samples
(2024)
• No Venue
Li et al.
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Needlebench: Can Llms Do Retrieval And Reasoning In 1 Million Context Window?
(2024)
• No Venue
Li et al.
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Omnicorpus: A Unified Multimodal Corpus Of 10 Billion-level Images Interleaved With Text
(2024)
• No Venue
Li et al.
-
Retrollm: Empowering Large Language Models To Retrieve Fine-grained Evidence Within Generation
(2024)
• No Venue
Li et al.
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Ruler: A Model-agnostic Method To Control Generated Length For Large Language Models
(2024)
• No Venue
Li et al.
-
Wolf: Captioning Everything With A World Summarization Framework
(2024)
• No Venue
Li et al.
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Synergen-vl: Towards Synergistic Image Understanding And Generation With Vision Experts And Token Folding
(2024)
• No Venue
Li et al.
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A Survey On The Honesty Of Large Language Models
(2024)
• No Venue
Li et al.
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Snapkv: LLM Knows What You Are Looking For Before 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.
-
Svdqunat: Absorbing Outliers By Low-rank Components For 4-bit Diffusion Models
(2024)
• No Venue
Li et al.
-
Synthetic Data (almost) From Scratch: Generalized Instruction Tuning For Language Models
(2024)
• No Venue
Li et al.
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What If We Recaption Billions Of Web Images With Llama-3?
(2024)
• No Venue
Li et al.
-
User Experience Design Professionals' Perceptions Of Generative Artificial Intelligence
(2024)
• Proceedings of the CHI Conference on Human Factors in Computing Systems
• 61 citations
Li et al.
-
Transformer-lite: High-efficiency Deployment Of Large Language Models On Mobile Phone Gpus
(2024)
• No Venue
Li et al.
-
Unbounded: A Generative Infinite Game Of Character Life Simulation
(2024)
• No Venue
Li et al.
-
The Value, Benefits, And Concerns Of Generative Ai-powered Assistance In Writing
(2024)
• CHI '24: CHI Conference on Human Factors in Computing Systems
• 41 citations
Li et al.
-
The Finben: An Holistic Financial Benchmark For Large Language Models
(2024)
• No Venue
Xie et al.
-
Benchmarking Retrieval-augmented Generation For Medicine
(2024)
• Findings of the Association for Computational Linguistics ACL 2024
• 76 citations
Xiong et al.
-
Pyramiddrop: Accelerating Your Large Vision-language Models Via Pyramid Visual Redundancy Reduction
(2024)
• No Venue
Xing et al.
-
Open-finllms: Open Multimodal Large Language Models For Financial Applications
(2024)
• No Venue
Xie et al.
-
Learning To Learn Faster From Human Feedback With Language Model Predictive Control
(2024)
• No Venue
Liang et al.
-
Encouraging Divergent Thinking In Large Language Models Through Multi-agent Debate
(2024)
• Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
• 51 citations
Liang et al.
-
Can Large Language Models Provide Useful Feedback On Research Papers? A Large-scale Empirical Analysis
(2024)
• NEJM AI
• 88 citations
Liang et al.
-
Controllable Text Generation For Large Language Models: A Survey
(2024)
• No Venue
Liang et al.
-
A Large-scale Survey On The Usability Of AI Programming Assistants: Successes And Challenges
(2024)
• Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
• 65 citations
Jenny T. Liang, Chenyang Yang, Brad A. Myers
-
I-SHEEP: Self-alignment Of LLM From Scratch Through An Iterative Self-enhancement Paradigm
(2024)
• No Venue
Liang et al.
-
Internal Consistency And Self-feedback In Large Language Models: A Survey
(2024)
• No Venue
Liang et al.
-
Step-aware Preference Optimization: Aligning Preference With Denoising Performance At Each Step
(2024)
• No Venue
Liang et al.
-
Mixture-of-transformers: A Sparse And Scalable Architecture For Multi-modal Foundation Models
(2024)
• No Venue
Liang et al.
-
Multi-layer Transformers Gradient Can Be Approximated In Almost Linear Time
(2024)
• No Venue
Liang et al.
-
AI Transparency In The Age Of Llms: A Human-centered Research Roadmap
(2024)
• Harvard Data Science Review
• 87 citations
Q. Vera Liao, Jennifer Wortman Vaughan
-
Travelplanner: A Benchmark For Real-world Planning With Language Agents
(2024)
• No Venue
Xie et al.
-
Mini-omni: Language Models Can Hear, Talk While Thinking In Streaming
(2024)
• No Venue
Zhifei Xie, Changqiao Wu
-
Adding Nvme Ssds To Enable And Accelerate 100B Model Fine-tuning On A Single GPU
(2024)
• No Venue
Liao et al.
-
Medtrinity-25m: A Large-scale Multimodal Dataset With Multigranular Annotations For Medicine
(2024)
• No Venue
Xie et al.
-
A Preliminary Study Of O1 In Medicine: Are We Closer To An AI Doctor?
(2024)
• No Venue
Xie et al.
-
Revealing The Barriers Of Language Agents In Planning
(2024)
• No Venue
Xie et al.
-
Moe-llava: Mixture Of Experts For Large Vision-language Models
(2024)
• No Venue
Lin et al.
-
Ctrl-adapter: An Efficient And Versatile Framework For Adapting Diverse Controls To Any Diffusion Model
(2024)
• No Venue
Lin et al.
-
Critical Tokens Matter: Token-level Contrastive Estimation Enhence Llm's Reasoning Capability
(2024)
• No Venue
Lin et al.
-
How Can I Improve? Using GPT To Highlight The Desired And Undesired Parts Of Open-ended Responses
(2024)
• ACM Transactions on Information Systems
• 62 citations
Lin et al.
-
Data-efficient Fine-tuning For Llm-based Recommendation
(2024)
• Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 49 citations
Lin et al.
-
FLAME: Factuality-aware Alignment For Large Language Models
(2024)
• No Venue
Lin et al.
-
Moma: Efficient Early-fusion Pre-training With Mixture Of Modality-aware Experts
(2024)
• No Venue
Lin et al.
-
Wildbench: Benchmarking Llms With Challenging Tasks From Real Users In The Wild
(2024)
• No Venue
Lin et al.
-
No Need To Lift A Finger Anymore? Assessing The Quality Of Code Generation By Chatgpt
(2024)
• IEEE Transactions on Software Engineering
• 48 citations
Liu et al.
-
Coarse Correspondence Elicit 3D Spacetime Understanding In Multimodal Language Model
(2024)
• No Venue
Liu et al.
-
Alleviating Distortion In Image Generation Via Multi-resolution Diffusion Models
(2024)
• No Venue
Liu et al.
-
Aligning Teacher With Student Preferences For Tailored Training Data Generation
(2024)
• No Venue
Liu et al.
-
Chatqa: Building GPT-4 Level Conversational QA Models
(2024)
• No Venue
Liu et al.
-
Best Practices And Lessons Learned On Synthetic Data For Language Models
(2024)
• No Venue
Liu et al.
-
Are Your Llms Capable Of Stable Reasoning?
(2024)
• No Venue
Liu et al.
-
Bitdelta: Your Fine-tune May Only Be Worth One Bit
(2024)
• No Venue
Liu et al.
-
Mobilellm: Optimizing Sub-billion Parameter Language Models For On-device Use Cases
(2024)
• No Venue
Liu et al.
-
Lightweight Deep Learning For Resource-constrained Environments: A Survey
(2024)
• ACM Computing Surveys
• 61 citations
Liu et al.
-
GPT Understands, Too
(2024)
• AI Open
• 385 citations
Liu et al.
-
E^2-LLM: Efficient And Extreme Length Extension Of Large Language Models
(2024)
• No Venue
Liu et al.
-
DDK: Distilling Domain Knowledge For Efficient Large Language Models
(2024)
• No Venue
Liu et al.
-
Deliberation In Latent Space Via Differentiable Cache Augmentation
(2024)
• No Venue
Liu et al.
-
Flowing From Words To Pixels: A Framework For Cross-modality Evolution
(2024)
• No Venue
Liu et al.
-
Learning To Refuse: Towards Mitigating Privacy Risks In Llms
(2024)
• No Venue
Liu et al.
-
Harnessing Webpage Uis For Text-rich Visual Understanding
(2024)
• No Venue
Liu et al.
-
Infini-gram: Scaling Unbounded N-gram Language Models To A Trillion Tokens
(2024)
• No Venue
Liu et al.
-
Kangaroo: Lossless Self-speculative Decoding Via Double Early Exiting
(2024)
• No Venue
Liu et al.
-
MMDU: A Multi-turn Multi-image Dialog Understanding Benchmark And Instruction-tuning Dataset For Lvlms
(2024)
• No Venue
Liu et al.
-
Llms + Persona-plug = Personalized Llms
(2024)
• No Venue
Liu et al.
-
Linfusion: 1 GPU, 1 Minute, 16K Image
(2024)
• No Venue
Liu et al.
-
Lipo: Listwise Preference Optimization Through Learning-to-rank
(2024)
• No Venue
Liu et al.
-
Longgenbench: Long-context Generation Benchmark
(2024)
• No Venue
Liu et al.
-
Mmbench: Is Your Multi-modal Model An All-around Player?
(2024)
• Lecture Notes in Computer Science
• 93 citations
Liu et al.
-
MIA-DPO: Multi-image Augmented Direct Preference Optimization For Large Vision-language Models
(2024)
• No Venue
Liu et al.
-
Tuning Language Models By Proxy
(2024)
• No Venue
Liu et al.
-
Retrievalattention: Accelerating Long-context LLM Inference Via Vector Retrieval
(2024)
• No Venue
Liu et al.
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POINTS1.5: Building A Vision-language Model Towards Real World Applications
(2024)
• No Venue
Liu et al.
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NVILA: Efficient Frontier Visual Language Models
(2024)
• No Venue
Liu et al.
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ONCE: Boosting Content-based Recommendation With Both Open- And Closed-source Large Language Models
(2024)
• Proceedings of the 17th ACM International Conference on Web Search and Data Mining
• 57 citations
Liu et al.
-
POINTS: Improving Your Vision-language Model With Affordable Strategies
(2024)
• No Venue
Liu et al.
-
Reconx: Reconstruct Any Scene From Sparse Views With Video Diffusion Model
(2024)
• No Venue
Liu et al.
-
Teach Multimodal Llms To Comprehend Electrocardiographic Images
(2024)
• No Venue
Liu et al.
-
Rm-bench: Benchmarking Reward Models Of Language Models With Subtlety And Style
(2024)
• No Venue
Liu et al.
-
VPTQ: Extreme Low-bit Vector Post-training Quantization For Large Language Models
(2024)
• No Venue
Liu et al.
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Understanding Llms: A Comprehensive Overview From Training To Inference
(2024)
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Liu et al.
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World Model On Million-length Video And Language With Ringattention
(2024)
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Liu et al.
-
Agentless: Demystifying Llm-based Software Engineering Agents
(2024)
• No Venue
Xia et al.
-
Leveraging Large Language Models To Power Chatbots For Collecting User Self-reported Data
(2024)
• Proceedings of the ACM on Human-Computer Interaction
• 42 citations
Wei et al.
-
FP6-LLM: Efficiently Serving Large Language Models Through Fp6-centric Algorithm-system Co-design
(2024)
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Xia et al.
-
Agentgym: Evolving Large Language Model-based Agents Across Diverse Environments
(2024)
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Xi et al.
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Towards Open-world Recommendation With Knowledge Augmentation From Large Language Models
(2024)
• 18th ACM Conference on Recommender Systems
• 42 citations
Xi et al.
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MMIE: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-language Models
(2024)
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Xia et al.
-
RULE: Reliable Multimodal RAG For Factuality In Medical Vision Language Models
(2024)
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Xia et al.
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Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models
(2024)
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Xia et al.
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Planetarium: A Rigorous Benchmark For Translating Text To Structured Planning Languages
(2024)
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Zuo et al.
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Gpt-4v(ision) Is A Human-aligned Evaluator For Text-to-3d Generation
(2024)
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Wu et al.
-
Aligning Large Language Models Via Self-steering Optimization
(2024)
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Xiang et al.
-
Can Large Language Models Reason About Medical Questions?
(2024)
• Patterns
• 152 citations
Liévin et al.
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Videodrafter: Content-consistent Multi-scene Video Generation With LLM
(2024)
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Long et al.
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Anygpt: Unified Multimodal LLM With Discrete Sequence Modeling
(2024)
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Zhan et al.
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Diffsensei: Bridging Multi-modal Llms And Diffusion Models For Customized Manga Generation
(2024)
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Wu et al.
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Unveiling Security, Privacy, And Ethical Concerns Of Chatgpt
(2024)
• Journal of Information and Intelligence
• 150 citations
Xiaodong Wu, Ran Duan, Jianbing Ni
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Improve Mathematical Reasoning In Language Models By Automated Process Supervision
(2024)
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Luo et al.
-
Starcoder 2 And The Stack V2: The Next Generation
(2024)
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Lozhkov et al.
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Step-controlled DPO: Leveraging Stepwise Error For Enhanced Mathematical Reasoning
(2024)
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Lu et al.
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Large Language Models Are Superpositions Of All Characters: Attaining Arbitrary Role-play Via Self-alignment
(2024)
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Lu et al.
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Bluelm-v-3b: Algorithm And System Co-design For Multimodal Large Language Models On Mobile Devices
(2024)
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Lu et al.
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The AI Scientist: Towards Fully Automated Open-ended Scientific Discovery
(2024)
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Lu et al.
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A Controlled Study On Long Context Extension And Generalization In Llms
(2024)
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Lu et al.
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From GPT-4 To Gemini And Beyond: Assessing The Landscape Of Mllms On Generalizability, Trustworthiness And Causality Through Four Modalities
(2024)
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Lu et al.
-
Fit: Flexible Vision Transformer For Diffusion Model
(2024)
• No Venue
Lu et al.
-
RTLLM: An Open-source Benchmark For Design RTL Generation With Large Language Model
(2024)
• 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)
• 44 citations
Lu et al.
-
Mathcoder2: Better Math Reasoning From Continued Pretraining On Model-translated Mathematical Code
(2024)
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Lu et al.
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Llamax: Scaling Linguistic Horizons Of LLM By Enhancing Translation Capabilities Beyond 100 Languages
(2024)
• No Venue
Lu et al.
-
Llava-mr: Large Language-and-vision Assistant For Video Moment Retrieval
(2024)
• Arxiv
• 65 citations
Lu et al.
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Omniparser For Pure Vision Based GUI Agent
(2024)
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Lu et al.
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Divide-or-conquer? Which Part Should You Distill Your LLM?
(2024)
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Wu et al.
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Addition Is All You Need For Energy-efficient Language Models
(2024)
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Hongyin Luo, Wei Sun
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Reft: Representation Finetuning For Language Models
(2024)
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Wu et al.
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Turboedit: Instant Text-based Image Editing
(2024)
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Wu et al.
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Robustft: Robust Supervised Fine-tuning For Large Language Models Under Noisy Response
(2024)
• No Venue
Luo et al.
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Large Language Models Surpass Human Experts In Predicting Neuroscience Results
(2024)
• Nature Human Behaviour
• 40 citations
Luo et al.
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Mmevol: Empowering Multimodal Large Language Models With Evol-instruct
(2024)
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Luo et al.
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Semievol: Semi-supervised Fine-tuning For LLM Adaptation
(2024)
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Luo et al.
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Self-play Preference Optimization For Language Model Alignment
(2024)
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Wu et al.
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Tablebench: A Comprehensive And Complex Benchmark For Table Question Answering
(2024)
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Wu et al.
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A Survey On Large Language Models For Recommendation
(2024)
• World Wide Web
• 135 citations
Wu et al.
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Llama Pro: Progressive Llama With Block Expansion
(2024)
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Wu et al.
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Meta-rewarding Language Models: Self-improving Alignment With Llm-as-a-meta-judge
(2024)
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Wu et al.
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Plot2code: A Comprehensive Benchmark For Evaluating Multi-modal Large Language Models In Code Generation From Scientific Plots
(2024)
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Wu et al.
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Source2synth: Synthetic Data Generation And Curation Grounded In Real Data Sources
(2024)
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Lupidi et al.
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Os-copilot: Towards Generalist Computer Agents With Self-improvement
(2024)
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Wu et al.
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Layer-condensed KV Cache For Efficient Inference Of Large Language Models
(2024)
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Haoyi Wu, Kewei Tu
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Reft: Reasoning With Reinforced Fine-tuning
(2024)
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Luong et al.
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Futga: Towards Fine-grained Music Understanding Through Temporally-enhanced Generative Augmentation
(2024)
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Wu et al.
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Beyond Examples: High-level Automated Reasoning Paradigm In In-context Learning Via MCTS
(2024)
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Wu et al.
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Fastercache: Training-free Video Diffusion Model Acceleration With High Quality
(2024)
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Lv et al.
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GEB-1.3B: Open Lightweight Large Language Model
(2024)
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Wu et al.
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Worldcuisines: A Massive-scale Benchmark For Multilingual And Multicultural Visual Question Answering On Global Cuisines
(2024)
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Winata et al.
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Video-chatgpt: Towards Detailed Video Understanding Via Large Vision And Language Models
(2024)
• Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 115 citations
Maaz et al.
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The Era Of 1-bit Llms: All Large Language Models Are In 1.58 Bits
(2024)
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Ma et al.
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Weblinx: Real-world Website Navigation With Multi-turn Dialogue
(2024)
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Xing Han Lù, Zdeněk Kasner, Siva Reddy
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Evaluation Of Chatgpt-generated Medical Responses: A Systematic Review And Meta-analysis
(2024)
• Journal of Biomedical Informatics
• 77 citations
Wei et al.
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Janusflow: Harmonizing Autoregression And Rectified Flow For Unified Multimodal Understanding And Generation
(2024)
• No Venue
Ma et al.
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Foundation Models For Music: A Survey
(2024)
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Ma et al.
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Exploring The Role Of Large Language Models In Prompt Encoding For Diffusion Models
(2024)
• No Venue
Ma et al.
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Fine-tuning Llama For Multi-stage Text Retrieval
(2024)
• Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 43 citations
Ma et al.
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Groma: Localized Visual Tokenization For Grounding Multimodal Large Language Models
(2024)
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Ma et al.
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PALO: A Polyglot Large Multimodal Model For 5B People
(2024)
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Maaz et al.
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Language Model Can Listen While Speaking
(2024)
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Ma et al.
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Evaluating Very Long-term Conversational Memory Of LLM Agents
(2024)
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Maharana et al.
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Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey
(2024)
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Winata et al.
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AI Hallucinations: A Misnomer Worth Clarifying
(2024)
• 2024 IEEE Conference on Artificial Intelligence (CAI)
• 52 citations
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
-
Dissociating Language And Thought In Large Language Models
(2024)
• Trends in Cognitive Sciences
• 169 citations
Mahowald et al.
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Rephrasing The Web: A Recipe For Compute And Data-efficient Language Modeling
(2024)
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Maini et al.
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TOFU: A Task Of Fictitious Unlearning For Llms
(2024)
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Maini et al.
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Roco: Dialectic Multi-robot Collaboration With Large Language Models
(2024)
• 2024 IEEE International Conference on Robotics and Automation (ICRA)
• 41 citations
Zhao Mandi, Shreeya Jain, Shuran Song
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Eurollm: Multilingual Language Models For Europe
(2024)
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Martins et al.
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Diffusekrona: A Parameter Efficient Fine-tuning Method For Personalized Diffusion Model
(2024)
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Marjit et al.
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Artificial Intelligence Index Report 2024
(2024)
• Arxiv
• 149 citations
Maslej et al.
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Improving Text-to-image Consistency Via Automatic Prompt Optimization
(2024)
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Mañas et al.
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Gsm-symbolic: Understanding The Limitations Of Mathematical Reasoning In Large Language Models
(2024)
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Mirzadeh et al.
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MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training
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McKinzie et al.
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Openelm: An Efficient Language Model Family With Open-source Training And Inference Framework
(2024)
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Mehta et al.
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Bigger Is Not Always Better: Scaling Properties Of Latent Diffusion Models
(2024)
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Mei et al.
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Shortgpt: Layers In Large Language Models Are More Redundant Than You Expect
(2024)
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Men et al.
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Towards World Simulator: Crafting Physical Commonsense-based Benchmark For Video Generation
(2024)
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Meng et al.
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Anidoc: Animation Creation Made Easier
(2024)
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Meng et al.
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MMIU: Multimodal Multi-image Understanding For Evaluating Large Vision-language Models
(2024)
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Meng et al.
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Whiteboard-of-thought: Thinking Step-by-step Across Modalities
(2024)
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Sachit Menon, Richard Zemel, Carl Vondrick
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Large Language Models: A Survey
(2024)
• Arxiv
• 153 citations
Minaee et al.
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Youdream: Generating Anatomically Controllable Consistent Text-to-3d Animals
(2024)
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Sandeep Mishra, Oindrila Saha, Alan C. Bovik
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Orca-math: Unlocking The Potential Of Slms In Grade School Math
(2024)
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Mitra et al.
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Agentinstruct: Toward Generative Teaching With Agentic Flows
(2024)
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Mitra et al.
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T2i-adapter: Learning Adapters To Dig Out More Controllable Ability For Text-to-image Diffusion Models
(2024)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 371 citations
Mou et al.
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ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning
(2024)
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Mower et al.
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Olmoe: Open Mixture-of-experts Language Models
(2024)
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Muennighoff et al.
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Generative Representational Instruction Tuning
(2024)
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Muennighoff et al.
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Grouse: A Benchmark To Evaluate Evaluators In Grounded Question Answering
(2024)
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Muller et al.
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Compact Language Models Via Pruning And Knowledge Distillation
(2024)
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Muralidharan et al.
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Leave No Context Behind: Efficient Infinite Context Transformers With Infini-attention
(2024)
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Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal
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Aurora-m: The First Open Source Multilingual Language Model Red-teamed According To The U.S. Executive Order
(2024)
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Nakamura et al.
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Yesbut: A High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models
(2024)
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Nandy et al.
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Using An LLM To Help With Code Understanding
(2024)
• Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
• 110 citations
Nam et al.
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Designing Interpretable ML System To Enhance Trust In Healthcare: A Systematic Review To Proposed Responsible Clinician-ai-collaboration Framework
(2024)
• Information Fusion
• 76 citations
Nasarian et al.
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Benchmarking Large Multimodal Models Against Common Corruptions
(2024)
• Transactions of the Association for Computational Linguistics
• 153 citations
Zhang et al.
-
Biomedgpt: A Generalist Vision-language Foundation Model For Diverse Biomedical Tasks
(2024)
• Nature Medicine
• 95 citations
Zhang et al.
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A Careful Examination Of Large Language Model Performance On Grade School Arithmetic
(2024)
• No Venue
Zhang et al.
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Skywork-moe: A Deep Dive Into Training Techniques For Mixture-of-experts Language Models
(2024)
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Wei et al.
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The Prompt Report: A Systematic Survey Of Prompting Techniques
(2024)
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Schulhoff et al.
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Artificial Intelligence-enabled Intelligent Assistant For Personalized And Adaptive Learning In Higher Education
(2024)
• Information
• 197 citations
Sajja et al.
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GPT Models In Construction Industry: Opportunities, Limitations, And A Use Case Validation
(2024)
• Developments in the Built Environment
• 72 citations
Saka et al.
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MMAU: A Massive Multi-task Audio Understanding And Reasoning Benchmark
(2024)
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Sakshi et al.
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Scaling Smart: Accelerating Large Language Model Pre-training With Small Model Initialization
(2024)
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Samragh et al.
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Watermarking Makes Language Models Radioactive
(2024)
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Sander et al.
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Omniedit: Building Image Editing Generalist Models Through Specialist Supervision
(2024)
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Wei et al.
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Llama-nas: Efficient Neural Architecture Search For Large Language Models
(2024)
• No Venue
Sarah et al.
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Diagnostic Reasoning Prompts Reveal The Potential For Large Language Model Interpretability In Medicine
(2024)
• npj Digital Medicine
• 133 citations
Savage et al.
-
RAPTOR: Recursive Abstractive Processing For Tree-organized Retrieval
(2024)
• No Venue
Sarthi et al.
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Fast High-resolution Image Synthesis With Latent Adversarial Diffusion Distillation
(2024)
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Sauer et al.
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3dgen-bench: Comprehensive Benchmark Suite For 3D Generative Models
(2024)
• 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 128 citations
Zhang et al.
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WARP: On The Benefits Of Weight Averaged Rewarded Policies
(2024)
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Ramé et al.
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A Review Of Large Language Models And Autonomous Agents In Chemistry
(2024)
• Chemical Science
• 50 citations
Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White
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Mixture-of-depths: Dynamically Allocating Compute In Transformer-based Language Models
(2024)
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Raposo et al.
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Trans-tokenization And Cross-lingual Vocabulary Transfers: Language Adaptation Of Llms For Low-resource NLP
(2024)
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Remy et al.
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Adapting Safe-for-work Classifier For Malaysian Language Text: Enhancing Alignment In Llm-ops Framework
(2024)
• No Venue
Razak et al.
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Representation Learning With Large Language Models For Recommendation
(2024)
• Proceedings of the ACM Web Conference 2024
• 84 citations
Ren et al.
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EXAONE 3.5: Series Of Large Language Models For Real-world Use Cases
(2024)
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Research et al.
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The Effect Of Sampling Temperature On Problem Solving In Large Language Models
(2024)
• Findings of the Association for Computational Linguistics: EMNLP 2024
• 43 citations
Matthew Renze, Erhan Guven
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Needle Threading: Can Llms Follow Threads Through Near-million-scale Haystacks?
(2024)
• No Venue
Jonathan Roberts, Kai Han, Samuel Albanie
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Adam-mini: Use Fewer Learning Rates To Gain More
(2024)
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Zhang et al.
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Selfcodealign: Self-alignment For Code Generation
(2024)
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Wei et al.
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Ipadapter-instruct: Resolving Ambiguity In Image-based Conditioning Using Instruct Prompts
(2024)
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Rowles et al.
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Pathways On The Image Manifold: Image Editing Via Video Generation
(2024)
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Rotstein et al.
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Direct Nash Optimization: Teaching Language Models To Self-improve With General Preferences
(2024)
• No Venue
Rosset et al.
-
A Systematic Survey Of Prompt Engineering In Large Language Models: Techniques And Applications
(2024)
• Arxiv
• 100 citations
Sahoo et al.
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Grandmaster-level Chess Without Search
(2024)
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Ruoss et al.
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Writing In The Margins: Better Inference Pattern For Long Context Retrieval
(2024)
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Russak et al.
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Long-form Factuality In Large Language Models
(2024)
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Wei et al.
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No Training, No Problem: Rethinking Classifier-free Guidance For Diffusion Models
(2024)
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Sadat et al.
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Litevae: Lightweight And Efficient Variational Autoencoders For Latent Diffusion Models
(2024)
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Sadat et al.
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How To Train Data-efficient Llms
(2024)
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Sachdeva et al.
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Eliminating Oversaturation And Artifacts Of High Guidance Scales In Diffusion Models
(2024)
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Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber
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Complexity Of Symbolic Representation In Working Memory Of Transformer Correlates With The Complexity Of A Task
(2024)
• No Venue
Alsu Sagirova, Mikhail Burtsev
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Large Language Models In Medicine: The Potentials And Pitfalls
(2024)
• Annals of Internal Medicine
• 174 citations
Omiye et al.
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User-llm: Efficient LLM Contextualization With User Embeddings
(2024)
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Ning et al.
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Beyond Scaling Laws: Understanding Transformer Performance With Associative Memory
(2024)
• No Venue
Niu et al.
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Generative AI In EU Law: Liability, Privacy, Intellectual Property, And Cybersecurity
(2024)
• Arxiv
• 41 citations
Novelli et al.
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DITTO: Diffusion Inference-time T-optimization For Music Generation
(2024)
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Novack et al.
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A Systematic Review Of Generative AI For Teaching And Learning Practice
(2024)
• Education Sciences
• 60 citations
Ogunleye et al.
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Truth Or Mirage? Towards End-to-end Factuality Evaluation With LLM-OASIS
(2024)
• No Venue
Scirè et al.
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An Empirical Study Of The Non-determinism Of Chatgpt In Code Generation
(2024)
• ACM Transactions on Software Engineering and Methodology
• 51 citations
Ouyang et al.
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Llms Know More Than They Show: On The Intrinsic Representation Of LLM Hallucinations
(2024)
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Orgad et al.
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Transformers Are Multi-state Rnns
(2024)
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Oren et al.
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Relik: Retrieve And Link, Fast And Accurate Entity Linking And Relation Extraction On An Academic Budget
(2024)
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Orlando et al.
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Reka Core, Flash, And Edge: A Series Of Powerful Multimodal Language Models
(2024)
• No Venue
Ormazabal et al.
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Omnidocbench: Benchmarking Diverse PDF Document Parsing With Comprehensive Annotations
(2024)
• No Venue
Ouyang et al.
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Fine-tuning Or Retrieval? Comparing Knowledge Injection In Llms
(2024)
• Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
• 40 citations
Ovadia et al.
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Diffusion Augmented Agents: A Framework For Efficient Exploration And Transfer Learning
(2024)
• No Venue
Palo et al.
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Unifying Large Language Models And Knowledge Graphs: A Roadmap
(2024)
• IEEE Transactions on Knowledge and Data Engineering
• 452 citations
Pan et al.
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Can Mamba Learn How To Learn? A Comparative Study On In-context Learning Tasks
(2024)
• No Venue
Park et al.
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AI Deception: A Survey Of Examples, Risks, And Potential Solutions
(2024)
• Patterns
• 70 citations
Park et al.
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Llamo: Large Language Model-based Molecular Graph Assistant
(2024)
• No Venue
Park et al.
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Diminished Diversity-of-thought In A Standard Large Language Model
(2024)
• Behavior Research Methods
• 48 citations
Peter S. Park, Philipp Schoenegger, Chongyang Zhu
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Llamaduo: Llmops Pipeline For Seamless Migration From Service Llms To Small-scale Local Llms
(2024)
• No Venue
Park et al.
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Integrating Large Language Models Into A Tri-modal Architecture For Automated Depression Classification
(2024)
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Santosh V. Patapati
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Cut Your Losses In Large-vocabulary Language Models
(2024)
• No Venue
Wijmans et al.
-
Chatgpt Prompt Patterns For Improving Code Quality, Refactoring, Requirements Elicitation, And Software Design
(2024)
• Generative AI for Effective Software Development
• 135 citations
White et al.
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Datadreamer: A Tool For Synthetic Data Generation And Reproducible LLM Workflows
(2024)
• No Venue
Ajay Patel, Colin Raffel, Chris Callison-Burch
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Advprompter: Fast Adaptive Adversarial Prompting For Llms
(2024)
• No Venue
Paulus et al.
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Controlnext: Powerful And Efficient Control For Image And Video Generation
(2024)
• No Venue
Peng et al.
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Survey Of Cultural Awareness In Language Models: Text And Beyond
(2024)
• No Venue
Pawar et al.
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Large Language Model Confidence Estimation Via Black-box Access
(2024)
• No Venue
Pedapati et al.
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Dreambench++: A Human-aligned Benchmark For Personalized Image Generation
(2024)
• No Venue
Peng et al.
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H2o-danube3 Technical Report
(2024)
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Pfeiffer et al.
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Personalized Visual Instruction Tuning
(2024)
• No Venue
Pi et al.
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Extracting Accurate Materials Data From Research Papers With Conversational Language Models And Prompt Engineering
(2024)
• Nature Communications
• 177 citations
MacIej P. Polak, Dane Morgan
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Sambanova SN40L: Scaling The AI Memory Wall With Dataflow And Composition Of Experts
(2024)
• No Venue
Prabhakar et al.
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Lightning Attention-2: A Free Lunch For Handling Unlimited Sequence Lengths In Large Language Models
(2024)
• No Venue
Qin et al.
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Mutual Reasoning Makes Smaller Llms Stronger Problem-solvers
(2024)
• No Venue
Qi et al.
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Webrl: Training LLM Web Agents Via Self-evolving Online Curriculum Reinforcement Learning
(2024)
• No Venue
Qi et al.
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Chatdev: Communicative Agents For Software Development
(2024)
• Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 51 citations
Qian et al.
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Large Language Models Meet NLP: A Survey
(2024)
• Findings of the Association for Computational Linguistics: NAACL 2024
• 75 citations
Qin et al.
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Memorag: Moving Towards Next-gen RAG Via Memory-inspired Knowledge Discovery
(2024)
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Qian et al.
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Benchmarking Agentic Workflow Generation
(2024)
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Qiao et al.
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Prism: A Framework For Decoupling And Assessing The Capabilities Of Vlms
(2024)
• No Venue
Qiao et al.
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Diffusiongpt: Llm-driven Text-to-image Generation System
(2024)
• No Venue
Qin et al.
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Small Language Model Meets With Reinforced Vision Vocabulary
(2024)
• No Venue
Wei et al.
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Freescale: Unleashing The Resolution Of Diffusion Models Via Tuning-free Scale Fusion
(2024)
• No Venue
Qiu et al.
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Layerwise Recurrent Router For Mixture-of-experts
(2024)
• No Venue
Qiu et al.
-
Promptriever: Instruction-trained Retrievers Can Be Prompted Like Language Models
(2024)
• No Venue
Weller et al.
-
Hellobench: Evaluating Long Text Generation Capabilities Of Large Language Models
(2024)
• No Venue
Que et al.
-
2BP: 2-stage Backpropagation
(2024)
• No Venue
Christopher Rae, Joseph K. L. Lee, James Richings
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Vision Language Models Are Blind
(2024)
• No Venue
Rahmanzadehgervi et al.
-
Large Language Models In Healthcare And Medical Domain: A Review
(2024)
• Informatics
• 129 citations
Zabir Al Nazi, Wei Peng
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An Image Is Worth More Than 16x16 Patches: Exploring Transformers On Individual Pixels
(2024)
• No Venue
Nguyen et al.
-
A Survey Of Small Language Models
(2024)
• No Venue
Nguyen et al.
-
The Programmer's Assistant: Conversational Interaction With A Large Language Model For Software Development
(2023)
• IUI '23: 28th International Conference on Intelligent User Interfaces
• 163 citations
Ross et al.
-
Audiopalm: A Large Language Model That Can Speak And Listen
(2023)
• No Venue
Rubenstein et al.
-
Code Llama: Open Foundation Models For Code
(2023)
• Arxiv
• 292 citations
Rozière et al.
-
FABRIC: Personalizing Diffusion Models With Iterative Feedback
(2023)
• No Venue
Rütte et al.
-
Dreambooth: Fine Tuning Text-to-image Diffusion Models For Subject-driven Generation
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 1201 citations
Ruiz et al.
-
Glamm: Pixel Grounding Large Multimodal Model
(2023)
• No Venue
Rasheed et al.
-
In-context Retrieval-augmented Language Models
(2023)
• Transactions of the Association for Computational Linguistics
• 166 citations
Ram et al.
-
Hardware-aware Training For Large-scale And Diverse Deep Learning Inference Workloads Using In-memory Computing-based Accelerators
(2023)
• Nature Communications
• 69 citations
Rasch et al.
-
Video-llama: An Instruction-tuned Audio-visual Language Model For Video Understanding
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
• 199 citations
Hang Zhang, Xin Li, Lidong Bing
-
Supporting Human-ai Collaboration In Auditing Llms With Llms
(2023)
• Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society
• 45 citations
Rastogi et al.
-
Safe Latent Diffusion: Mitigating Inappropriate Degeneration In Diffusion Models
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 79 citations
Schramowski et al.
-
Prompting Large Language Model For Machine Translation: A Case Study
(2023)
• Arxiv
• 44 citations
Biao Zhang, Barry Haddow, Alexandra Birch
-
The Troubling Emergence Of Hallucination In Large Language Models -- An Extensive Definition, Quantification, And Prescriptive Remediations
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 49 citations
Rawte et al.
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An Empirical Evaluation Of Using Large Language Models For Automated Unit Test Generation
(2023)
• IEEE Transactions on Software Engineering
• 109 citations
Schäfer et al.
-
Sparq Attention: Bandwidth-efficient LLM Inference
(2023)
• No Venue
Ribar et al.
-
Toolformer: Language Models Can Teach Themselves To Use Tools
(2023)
• Arxiv
• 260 citations
Schick et al.
-
Conceptlab: Creative Generation Using Diffusion Prior Constraints
(2023)
• No Venue
Richardson et al.
-
Starvector: Generating Scalable Vector Graphics Code From Images
(2023)
• No Venue
Rodriguez et al.
-
Improving Chest X-ray Report Generation By Leveraging Warm Starting
(2023)
• Artificial Intelligence in Medicine
• 78 citations
Aaron Nicolson, Jason Dowling, Bevan Koopman
-
GPT Has Become Financially Literate: Insights From Financial Literacy Tests Of GPT And A Preliminary Test Of How People Use It As A Source Of Advice
(2023)
• Finance Research Letters
• 50 citations
Paweł Niszczota, Sami Abbas
-
ECLIPSE: A Resource-efficient Text-to-image Prior For Image Generations
(2023)
• No Venue
Patel et al.
-
Skeleton-of-thought: Large Language Models Can Do Parallel Decoding
(2023)
• No Venue
Ning et al.
-
Large Language Models (GPT) Struggle To Answer Multiple-choice Questions About Code
(2023)
• Proceedings of the 15th International Conference on Computer Supported Education
• 43 citations
Savelka et al.
-
SDXL: Improving Latent Diffusion Models For High-resolution Image Synthesis
(2023)
• No Venue
Podell et al.
-
Capabilities Of GPT-4 On Medical Challenge Problems
(2023)
• Arxiv
• 407 citations
Nori et al.
-
Time Is Encoded In The Weights Of Finetuned Language Models
(2023)
• No Venue
Kai Nylund, Suchin Gururangan, Noah A. Smith
-
Contrastive Decoding Improves Reasoning In Large Language Models
(2023)
• No Venue
Sean O'Brien, Mike Lewis
-
Why Does Surprisal From Larger Transformer-based Language Models Provide A Poorer Fit To Human Reading Times?
(2023)
• Transactions of the Association for Computational Linguistics
• 65 citations
Byung-Doh Oh, William Schuler
-
Blending Concepts With Text-to-image Diffusion Models
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 81 citations
Olearo et al.
-
A Taxonomy Of Prompt Modifiers For Text-to-image Generation
(2023)
• Behaviour & Information Technology
• 100 citations
Jonas Oppenlaender
-
Thrilled By Your Progress! Large Language Models (GPT-4) No Longer Struggle To Pass Assessments In Higher Education Programming Courses
(2023)
• Proceedings of the 2023 ACM Conference on International Computing Education Research V.1
• 93 citations
Savelka et al.
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Chatgpt, Can You Generate Solutions For My Coding Exercises? An Evaluation On Its Effectiveness In An Undergraduate Java Programming Course
(2023)
• ITiCSE 2023: Innovation and Technology in Computer Science Education
• 58 citations
Ouh et al.
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Med-halt: Medical Domain Hallucination Test For Large Language Models
(2023)
• Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
• 41 citations
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
-
Large Language Models Are Competitive Near Cold-start Recommenders For Language- And Item-based Preferences
(2023)
• Proceedings of the 17th ACM Conference on Recommender Systems
• 67 citations
Sanner et al.
-
Logic-lm: Empowering Large Language Models With Symbolic Solvers For Faithful Logical Reasoning
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 45 citations
Pan et al.
-
Natural Language Generation And Understanding Of Big Code For Ai-assisted Programming: A Review
(2023)
• Entropy
• 63 citations
Wong et al.
-
Xuanyuan 2.0: A Large Chinese Financial Chat Model With Hundreds Of Billions Parameters
(2023)
• Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
• 47 citations
Xuanyu Zhang, Qing Yang, Dongliang Xu
-
Learning Gain Differences Between Chatgpt And Human Tutor Generated Algebra Hints
(2023)
• Arxiv
• 64 citations
Zachary A. Pardos, Shreya Bhandari
-
Generative Agents: Interactive Simulacra Of Human Behavior
(2023)
• Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
• 701 citations
Park et al.
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Whose Opinions Do Language Models Reflect?
(2023)
• Arxiv
• 77 citations
Santurkar et al.
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Gorilla: Large Language Model Connected With Massive Apis
(2023)
• Arxiv
• 65 citations
Patil et al.
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Best Prompts For Text-to-image Models And How To Find Them
(2023)
• Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 49 citations
Nikita Pavlichenko, Dmitry Ustalov
-
Prospect: Prompt Spectrum For Attribute-aware Personalization Of Diffusion Models
(2023)
• ACM Transactions on Graphics
• 53 citations
Zhang et al.
-
Examining Zero-shot Vulnerability Repair With Large Language Models
(2023)
• 2023 IEEE Symposium on Security and Privacy (SP)
• 92 citations
Pearce et al.
-
Chatbots Put To The Test In Math And Logic Problems: A Preliminary Comparison And Assessment Of Chatgpt-3.5, Chatgpt-4, And Google Bard
(2023)
• AI
• 56 citations
Vagelis Plevris, George Papazafeiropoulos, Alejandro Jiménez Rios
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The Refinedweb Dataset For Falcon LLM: Outperforming Curated Corpora With Web Data, And Web Data Only
(2023)
• No Venue
Penedo et al.
-
Yarn: Efficient Context Window Extension Of Large Language Models
(2023)
• No Venue
Peng et al.
-
FP8-LM: Training FP8 Large Language Models
(2023)
• No Venue
Peng et al.
-
Check Your Facts And Try Again: Improving Large Language Models With External Knowledge And Automated Feedback
(2023)
• Arxiv
• 128 citations
Peng et al.
-
Towards Making The Most Of Chatgpt For Machine Translation
(2023)
• SSRN Electronic Journal
• 86 citations
Peng et al.
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RWKV: Reinventing Rnns For The Transformer Era
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 140 citations
Peng et al.
-
Instruction Tuning With GPT-4
(2023)
• Arxiv
• 174 citations
Peng et al.
-
Kosmos-2: Grounding Multimodal Large Language Models To The World
(2023)
• No Venue
Peng et al.
-
A Study Of Generative Large Language Model For Medical Research And Healthcare
(2023)
• npj Digital Medicine
• 212 citations
Peng et al.
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From Words To Watts: Benchmarking The Energy Costs Of Large Language Model Inference
(2023)
• 2023 IEEE High Performance Extreme Computing Conference (HPEC)
• 69 citations
Samsi et al.
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Testing The Predictions Of Surprisal Theory In 11 Languages
(2023)
• Transactions of the Association for Computational Linguistics
• 41 citations
Wilcox et al.
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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)
• 117 citations
Zhang et al.
-
Discovering Language Model Behaviors With Model-written Evaluations
(2023)
• Findings of the Association for Computational Linguistics: ACL 2023
• 87 citations
Perez et al.
-
LMDX: Language Model-based Document Information Extraction And Localization
(2023)
• No Venue
Perot et al.
-
Llama-adapter: Efficient Fine-tuning Of Language Models With Zero-init Attention
(2023)
• Arxiv
• 143 citations
Zhang et al.
-
Pythainlp: Thai Natural Language Processing In Python
(2023)
• Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)
• 42 citations
Phatthiyaphaibun et al.
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Generative AI For Programming Education: Benchmarking Chatgpt, GPT-4, And Human Tutors
(2023)
• No Venue
Phung et al.
-
Siren's Song In The AI Ocean: A Survey On Hallucination In Large Language Models
(2023)
• Arxiv
• 179 citations
Zhang et al.
-
Large Language Models For Education: Grading Open-ended Questions Using Chatgpt
(2023)
• Proceedings of the XXXVII Brazilian Symposium on Software Engineering
• 42 citations
Pinto et al.
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Multimodal Chain-of-thought Reasoning In Language Models
(2023)
• Arxiv
• 73 citations
Zhang et al.
-
Large Language Models Are Better Reasoners With Self-verification
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 43 citations
Weng et al.
-
Adapters: A Unified Library For Parameter-efficient And Modular Transfer Learning
(2023)
• No Venue
Poth et al.
-
Aligning Text-to-image Diffusion Models With Reward Backpropagation
(2023)
• No Venue
Prabhudesai et al.
-
Speechgpt: Empowering Large Language Models With Intrinsic Cross-modal Conversational Abilities
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 63 citations
Zhang et al.
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The Robots Are Here: Navigating The Generative AI Revolution In Computing Education
(2023)
• Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education
• 195 citations
Prather et al.
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Measuring And Narrowing The Compositionality Gap In Language Models
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 133 citations
Press et al.
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Automatic Prompt Optimization With "gradient Descent" And Beam Search
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 75 citations
Pryzant et al.
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Performance Of Chatgpt On The US Fundamentals Of Engineering Exam: Comprehensive Assessment Of Proficiency And Potential Implications For Professional Environmental Engineering Practice
(2023)
• Computers and Education: Artificial Intelligence
• 80 citations
Vinay Pursnani, Yusuf Sermet, Ibrahim Demir
-
A Prompt Pattern Catalog To Enhance Prompt Engineering With Chatgpt
(2023)
• Arxiv
• 546 citations
White et al.
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Repocoder: Repository-level Code Completion Through Iterative Retrieval And Generation
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 40 citations
Zhang et al.
-
The Generative AI Paradox: "what It Can Create, It May Not Understand"
(2023)
• No Venue
West et al.
-
System 2 Attention (is Something You Might Need Too)
(2023)
• No Venue
Jason Weston, Sainbayar Sukhbaatar
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Cache Me If You Can: Accelerating Diffusion Models Through Block Caching
(2023)
• No Venue
Wimbauer et al.
-
Reasoning With Language Model Prompting: A Survey
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 78 citations
Qiao et al.
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Should You Mask 15% In Masked Language Modeling?
(2023)
• Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
• 114 citations
Wettig et al.
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Is Chatgpt A General-purpose Natural Language Processing Task Solver?
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 358 citations
Qin et al.
-
Toolllm: Facilitating Large Language Models To Master 16000+ Real-world Apis
(2023)
• No Venue
Qin et al.
-
Are Emergent Abilities Of Large Language Models A Mirage?
(2023)
• Arxiv
• 100 citations
Rylan Schaeffer, Brando Miranda, Sanmi Koyejo
-
Controlling Text-to-image Diffusion By Orthogonal Finetuning
(2023)
• No Venue
Qiu et al.
-
Story-to-motion: Synthesizing Infinite And Controllable Character Animation From Long Text
(2023)
• No Venue
Qing et al.
-
Unifying The Perspectives Of NLP And Software Engineering: A Survey On Language Models For Code
(2023)
• No Venue
Zhang et al.
-
Creating A Large Language Model Of A Philosopher
(2023)
• Mind & Language
• 50 citations
Eric Schwitzgebel, David Schwitzgebel, Anna Strasser
-
Layoutllm-t2i: Eliciting Layout Guidance From LLM For Text-to-image Generation
(2023)
• Proceedings of the 31st ACM International Conference on Multimedia
• 50 citations
Qu et al.
-
Stay On Topic With Classifier-free Guidance
(2023)
• No Venue
Sanchez et al.
-
Stylegan-t: Unlocking The Power Of Gans For Fast Large-scale Text-to-image Synthesis
(2023)
• Arxiv
• 50 citations
Sauer et al.
-
Text-visual Prompting For Efficient 2D Temporal Video Grounding
(2023)
• Arxiv
• 65 citations
Zhang et al.
-
Neuroprompts: An Adaptive Framework To Optimize Prompts For Text-to-image Generation
(2023)
• No Venue
Shachar Rosenman, Vasudev Lal, Phillip Howard
-
Exploring The Use Of Chatgpt As A Tool For Learning And Assessment In Undergraduate Computer Science Curriculum: Opportunities And Challenges
(2023)
• Arxiv
• 45 citations
Basit Qureshi
-
A Survey Of Controllable Text Generation Using Transformer-based Pre-trained Language Models
(2023)
• ACM Computing Surveys
• 190 citations
Zhang et al.
-
Personality Traits In Large Language Models
(2023)
• No Venue
Safdari et al.
-
Direct Preference Optimization: Your Language Model Is Secretly A Reward Model
(2023)
• Arxiv
• 160 citations
Rafailov et al.
-
Magicoder: Source Code Is All You Need
(2023)
• No Venue
Wei et al.
-
Chain Of Code: Reasoning With A Language Model-augmented Code Emulator
(2023)
• No Venue
Li et al.
-
CAMEL: Communicative Agents For "mind" Exploration Of Large Language Model Society
(2023)
• Arxiv
• 66 citations
Li et al.
-
BLIP-2: Bootstrapping Language-image Pre-training With Frozen Image Encoders And Large Language Models
(2023)
• Arxiv
• 666 citations
Li et al.
-
Loftq: Lora-fine-tuning-aware Quantization For Large Language Models
(2023)
• No Venue
Li et al.
-
Halueval: A Large-scale Hallucination Evaluation Benchmark For Large Language Models
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 125 citations
Li et al.
-
Evaluating Parameter-efficient Transfer Learning Approaches On SURE Benchmark For Speech Understanding
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 156 citations
Li et al.
-
Chatdoctor: A Medical Chat Model Fine-tuned On A Large Language Model Meta-ai (llama) Using Medical Domain Knowledge
(2023)
• Cureus
• 288 citations
Li et al.
-
Clip-reid: Exploiting Vision-language Model For Image Re-identification Without Concrete Text Labels
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 91 citations
Siyuan Li, Li Sun, Qingli Li
-
Contrastive Decoding: Open-ended Text Generation As Optimization
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 44 citations
Li et al.
-
Graphix-t5: Mixing Pre-trained Transformers With Graph-aware Layers For Text-to-sql Parsing
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 45 citations
Li et al.
-
FLM-101B: An Open LLM And How To Train It With $100K Budget
(2023)
• No Venue
Li et al.
-
GLIGEN: Open-set Grounded Text-to-image Generation
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 268 citations
Li et al.
-
Llava-med: Training A Large Language-and-vision Assistant For Biomedicine In One Day
(2023)
• Arxiv
• 143 citations
Li et al.
-
Large Multimodal Models: Notes On CVPR 2023 Tutorial
(2023)
• Arxiv
• 40 citations
Chunyuan Li
-
JEN-1: Text-guided Universal Music Generation With Omnidirectional Diffusion Models
(2023)
• No Venue
Li et al.
-
Seed-bench: Benchmarking Multimodal Llms With Generative Comprehension
(2023)
• Arxiv
• 46 citations
Li et al.
-
Multimodal Foundation Models: From Specialists To General-purpose Assistants
(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.
-
Multi-step Jailbreaking Privacy Attacks On Chatgpt
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 90 citations
Li et al.
-
Otter: A Multi-modal Model With In-context Instruction Tuning
(2023)
• Arxiv
• 82 citations
Li et al.
-
Table-gpt: Table-tuned GPT For Diverse Table Tasks
(2023)
• No Venue
Li et al.
-
Starcoder: May The Source Be With You!
(2023)
• No Venue
Li et al.
-
Synthetic Data Generation With Large Language Models For Text Classification: Potential And Limitations
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 51 citations
Li et al.
-
Teach Llms To Personalize -- An Approach Inspired By Writing Education
(2023)
• No Venue
Li et al.
-
Textbooks Are All You Need II: Phi-1.5 Technical Report
(2023)
• No Venue
Li et al.
-
Videochat: Chat-centric Video Understanding
(2023)
• Arxiv
• 87 citations
Li et al.
-
Polylm: An Open Source Polyglot Large Language Model
(2023)
• No Venue
Wei et al.
-
Text-to-sticker: Style Tailoring Latent Diffusion Models For Human Expression
(2023)
• No Venue
Sinha et al.
-
Document-level Machine Translation With Large Language Models
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 88 citations
Wang et al.
-
Enable Language Models To Implicitly Learn Self-improvement From Data
(2023)
• No Venue
Wang et al.
-
Chatgpt: More Than A Weapon Of Mass Deception, Ethical Challenges And Responses From The Human-centered Artificial Intelligence (HCAI) Perspective
(2023)
• International Journal of Human–Computer Interaction
• 51 citations
Sison et al.
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Improving The Domain Adaptation Of Retrieval Augmented Generation (RAG) Models For Open Domain Question Answering
(2023)
• Transactions of the Association for Computational Linguistics
• 132 citations
Siriwardhana et al.
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Progprompt: Generating Situated Robot Task Plans Using Large Language Models
(2023)
• 2023 IEEE International Conference on Robotics and Automation (ICRA)
• 245 citations
Singh et al.
-
Large Language Models Encode Clinical Knowledge
(2023)
• Nature
• 1825 citations
Singhal et al.
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Towards Expert-level Medical Question Answering With Large Language Models
(2023)
• Arxiv
• 226 citations
Singhal et al.
-
Beyond Human Data: Scaling Self-training For Problem-solving With Language Models
(2023)
• No Venue
Singh et al.
-
GPT-NER: Named Entity Recognition Via Large Language Models
(2023)
• Arxiv
• 113 citations
Wang et al.
-
Enabling Language Models To Implicitly Learn Self-improvement
(2023)
• Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 102 citations
Wang et al.
-
Improving Text Embeddings With Large Language Models
(2023)
• No Venue
Wang et al.
-
Huatuo: Tuning Llama Model With Chinese Medical Knowledge
(2023)
• Arxiv
• 76 citations
Wang et al.
-
Internvid: A Large-scale Video-text Dataset For Multimodal Understanding And Generation
(2023)
• No Venue
Wang et al.
-
The Curse Of Recursion: Training On Generated Data Makes Models Forget
(2023)
• Arxiv
• 105 citations
Shumailov et al.
-
Artificial Intelligence For Health Message Generation: Theory, Method, And An Empirical Study Using Prompt Engineering
(2023)
• Frontiers in Communication
• 61 citations
Sue Lim, Ralf Schmälzle
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Doctorglm: Fine-tuning Your Chinese Doctor Is Not A Herculean Task
(2023)
• Arxiv
• 63 citations
Xiong et al.
-
Holistic Evaluation Of Language Models
(2023)
• Annals of the New York Academy of Sciences
• 338 citations
Liang et al.
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GPT Detectors Are Biased Against Non-native English Writers
(2023)
• Patterns
• 255 citations
Liang et al.
-
Stack More Layers Differently: High-rank Training Through Low-rank Updates
(2023)
• No Venue
Lialin et al.
-
Scaling Down To Scale Up: A Guide To Parameter-efficient Fine-tuning
(2023)
• Arxiv
• 54 citations
Lialin et al.
-
Code As Policies: Language Model Programs For Embodied Control
(2023)
• 2023 IEEE International Conference on Robotics and Automation (ICRA)
• 244 citations
Liang et al.
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What Does CLIP Know About A Red Circle? Visual Prompt Engineering For Vlms
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 51 citations
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
-
JARVIS-1: Open-world Multi-task Agents With Memory-augmented Multimodal Language Models
(2023)
• No Venue
Wang et al.
-
Rich Human Feedback For Text-to-image Generation
(2023)
• No Venue
Liang et al.
-
Is Chatgpt A Good NLG Evaluator? A Preliminary Study
(2023)
• Proceedings of the 4th New Frontiers in Summarization Workshop
• 149 citations
Wang et al.
-
Opening Up Chatgpt: Tracking Openness, Transparency, And Accountability In Instruction-tuned Text Generators
(2023)
• CUI '23: ACM conference on Conversational User Interfaces
• 60 citations
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
-
Interpolating Between Images With Diffusion Models
(2023)
• No Venue
Clinton J. Wang, Polina Golland
-
A Complete Survey On Generative AI (AIGC): Is Chatgpt From GPT-4 To GPT-5 All You Need?
(2023)
• Arxiv
• 83 citations
Zhang et al.
-
Llasm: Large Language And Speech Model
(2023)
• No Venue
Shu et al.
-
Designerly Understanding: Information Needs For Model Transparency To Support Design Ideation For Ai-powered User Experience
(2023)
• Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 47 citations
Liao et al.
-
Translating Natural Language To Planning Goals With Large-language Models
(2023)
• Arxiv
• 41 citations
Xie et al.
-
Video-llava: Learning United Visual Representation By Alignment Before Projection
(2023)
• No Venue
Lin et al.
-
The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning
(2023)
• No Venue
Lin et al.
-
AWQ: Activation-aware Weight Quantization For LLM Compression And Acceleration
(2023)
• Arxiv
• 53 citations
Lin et al.
-
Tiny Machine Learning: Progress And Futures
(2023)
• IEEE Circuits and Systems Magazine
• 49 citations
Lin et al.
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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)
• 42 citations
Yen-Ting Lin, Yun-Nung Chen
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MM-VID: Advancing Video Understanding With Gpt-4v(ision)
(2023)
• No Venue
Lin et al.
-
Text2motion: From Natural Language Instructions To Feasible Plans
(2023)
• Autonomous Robots
• 90 citations
Lin et al.
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Chatgpt Is On The Horizon: Could A Large Language Model Be Suitable For Intelligent Traffic Safety Research And Applications?
(2023)
• Journal of the American Chemical Society
• 296 citations
Zheng et al.
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Videodirectorgpt: Consistent Multi-scene Video Generation Via Llm-guided Planning
(2023)
• No Venue
Lin et al.
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VILA: On Pre-training For Visual Language Models
(2023)
• No Venue
Lin et al.
-
Large Language Models Are Latent Variable Models: Explaining And Finding Good Demonstrations For In-context Learning
(2023)
• Machine Intelligence Research
• 120 citations
Wang et al.
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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
• 95 citations
Zheng et al.
-
Reflexion: Language Agents With Verbal Reinforcement Learning
(2023)
• Arxiv
• 182 citations
Shinn et al.
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Lmsys-chat-1m: A Large-scale Real-world LLM Conversation Dataset
(2023)
• No Venue
Zheng et al.
-
A Survey On Non-autoregressive Generation For Neural Machine Translation And Beyond
(2023)
• IEEE Transactions on Pattern Analysis and Machine Intelligence
• 61 citations
Xiao et al.
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Supporting Qualitative Analysis With Large Language Models: Combining Codebook With GPT-3 For Deductive Coding
(2023)
• 28th International Conference on Intelligent User Interfaces
• 115 citations
Xiao et al.
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Domain Specialization As The Key To Make Large Language Models Disruptive: A Comprehensive Survey
(2023)
• Arxiv
• 49 citations
Ling et al.
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Simple Synthetic Data Reduces Sycophancy In Large Language Models
(2023)
• No Venue
Wei et al.
-
Sherpa3d: Boosting High-fidelity Text-to-3d Generation Via Coarse 3D Prior
(2023)
• No Venue
Liu et al.
-
Llava-plus: Learning To Use Tools For Creating Multimodal Agents
(2023)
• No Venue
Liu et al.
-
G-eval: NLG Evaluation Using GPT-4 With Better Human Alignment
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 281 citations
Liu et al.
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Agentbench: Evaluating Llms As Agents
(2023)
• No Venue
Liu et al.
-
Audioldm 2: Learning Holistic Audio Generation With Self-supervised Pretraining
(2023)
• No Venue
Liu et al.
-
Dual-stream Diffusion Net For Text-to-video Generation
(2023)
• No Venue
Liu et al.
-
Jailbreaking Chatgpt Via Prompt Engineering: An Empirical Study
(2023)
• Arxiv
• 73 citations
Liu et al.
-
Instaflow: One Step Is Enough For High-quality Diffusion-based Text-to-image Generation
(2023)
• No Venue
Liu et al.
-
Hallusionbench: You See What You Think? Or You Think What You See? An Image-context Reasoning Benchmark Challenging For Gpt-4v(ision), Llava-1.5, And Other Multi-modality Models
(2023)
• No Venue
Liu et al.
-
Is Chatgpt A Good Recommender? A Preliminary Study
(2023)
• Arxiv
• 125 citations
Liu et al.
-
Revisiting The Gold Standard: Grounding Summarization Evaluation With Robust Human Evaluation
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 42 citations
Liu et al.
-
Lost In The Middle: How Language Models Use Long Contexts
(2023)
• No Venue
Liu et al.
-
LLM+P: Empowering Large Language Models With Optimal Planning Proficiency
(2023)
• Arxiv
• 72 citations
Liu et al.
-
LLM360: Towards Fully Transparent Open-source Llms
(2023)
• No Venue
Liu et al.
-
Parameter-efficient Orthogonal Finetuning Via Butterfly Factorization
(2023)
• No Venue
Liu et al.
-
Pre-train, Prompt And Recommendation: A Comprehensive Survey Of Language Modelling Paradigm Adaptations In Recommender Systems
(2023)
• ACM Computing Surveys
• 2138 citations
Peng Liu, Lemei Zhang, Jon Atle Gulla
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Visual Spatial Reasoning
(2023)
• Transactions of the Association for Computational Linguistics
• 51 citations
Fangyu Liu, Guy Emerson, Nigel Collier
-
Tinygsm: Achieving >80% On Gsm8k With Small Language Models
(2023)
• No Venue
Liu et al.
-
Summary Of Chatgpt-related Research And Perspective Towards The Future Of Large Language Models
(2023)
• Meta-Radiology
• 516 citations
Liu et al.
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A Survey Of Visual Transformers
(2023)
• IEEE Transactions on Neural Networks and Learning Systems
• 299 citations
Liu et al.
-
Trustworthy Llms: A Survey And Guideline For Evaluating Large Language Models' Alignment
(2023)
• No Venue
Liu et al.
-
Wavjourney: Compositional Audio Creation With Large Language Models
(2023)
• No Venue
Liu et al.
-
"what It Wants Me To Say": Bridging The Abstraction Gap Between End-user Programmers And Code-generating Large Language Models
(2023)
• Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 72 citations
Liu et al.
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Large Language Models For Information Retrieval: A Survey
(2023)
• Arxiv
• 66 citations
Zhu et al.
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Query2doc: Query Expansion With Large Language Models
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 78 citations
Liang Wang, Nan Yang, Furu Wei
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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
• 40 citations
Wang et al.
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Minigpt-4: Enhancing Vision-language Understanding With Advanced Large Language Models
(2023)
• Arxiv
• 385 citations
Zhu et al.
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LAVIE: High-quality Video Generation With Cascaded Latent Diffusion Models
(2023)
• No Venue
Wang et al.
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Learning To Retrieve In-context Examples For Large Language Models
(2023)
• No Venue
Liang Wang, Nan Yang, Furu Wei
-
Robogen: Towards Unleashing Infinite Data For Automated Robot Learning Via Generative Simulation
(2023)
• No Venue
Wang et al.
-
A GPT-4 Reticular Chemist For Guiding MOF Discovery
(2023)
• Angewandte Chemie International Edition
• 95 citations
Zheng et al.
-
Plan-and-solve Prompting: Improving Zero-shot Chain-of-thought Reasoning By Large Language Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 110 citations
Wang et al.
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Neural Codec Language Models Are Zero-shot Text To Speech Synthesizers
(2023)
• Arxiv
• 145 citations
Wang et al.
-
How Far Are Large Language Models From Agents With Theory-of-mind?
(2023)
• No Venue
Zhou et al.
-
Large Language Models Can Be Easily Distracted By Irrelevant Context
(2023)
• Arxiv
• 58 citations
Shi et al.
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In-context Pretraining: Language Modeling Beyond Document Boundaries
(2023)
• No Venue
Shi et al.
-
S-lora: Serving Thousands Of Concurrent Lora Adapters
(2023)
• No Venue
Sheng et al.
-
Towards Fair Machine Learning Software: Understanding And Addressing Model Bias Through Counterfactual Thinking
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 61 citations
Wang et al.
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A Survey On Zero Pronoun Translation
(2023)
• IEEE Open Journal of the Computer Society
• 218 citations
Wang et al.
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Shepherd: A Critic For Language Model Generation
(2023)
• No Venue
Wang et al.
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R2gengpt: Radiology Report Generation With Frozen Llms
(2023)
• Meta-Radiology
• 55 citations
Wang et al.
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Self-deception: Reverse Penetrating The Semantic Firewall Of Large Language Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 327 citations
Wang et al.
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VISAR: A Human-ai Argumentative Writing Assistant With Visual Programming And Rapid Draft Prototyping
(2023)
• Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
• 51 citations
Zhang et al.
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In Chatgpt We Trust? Measuring And Characterizing The Reliability Of Chatgpt
(2023)
• Arxiv
• 58 citations
Shen et al.
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Pangu-coder2: Boosting Large Language Models For Code With Ranking Feedback
(2023)
• No Venue
Shen et al.
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Hugginggpt: Solving AI Tasks With Chatgpt And Its Friends In Hugging Face
(2023)
• Arxiv
• 218 citations
Shen et al.
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The Rise And Potential Of Large Language Model Based Agents: A Survey
(2023)
• Arxiv
• 189 citations
Xi et al.
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Training Transformers With 4-bit Integers
(2023)
• No Venue
Xi et al.
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Appagent: Multimodal Agents As Smartphone Users
(2023)
• No Venue
Zhang et al.
-
Large Language Model Guided Tree-of-thought
(2023)
• Arxiv
• 42 citations
Jieyi Long
-
Can Chatgpt Forecast Stock Price Movements? Return Predictability And Large Language Models
(2023)
• SSRN Electronic Journal
• 278 citations
Alejandro Lopez-Lira, Yuehua Tang
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How Language Model Hallucinations Can Snowball
(2023)
• Arxiv
• 59 citations
Zhang et al.
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De-diffusion Makes Text A Strong Cross-modal Interface
(2023)
• No Venue
Wei et al.
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Chameleon: Plug-and-play Compositional Reasoning With Large Language Models
(2023)
• Arxiv
• 62 citations
Lu et al.
-
Human-ai Collaboration Enables More Empathic Conversations In Text-based Peer-to-peer Mental Health Support
(2023)
• Nature Machine Intelligence
• 250 citations
Sharma et al.
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Emergent Analogical Reasoning In Large Language Models
(2023)
• Nature Human Behaviour
• 271 citations
Taylor Webb, Keith J. Holyoak, Hongjing Lu
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A Picture Is Worth A Thousand Words: Principled Recaptioning Improves Image Generation
(2023)
• No Venue
Segalis et al.
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Can Chatgpt Reproduce Human-generated Labels? A Study Of Social Computing Tasks
(2023)
• Arxiv
• 54 citations
Zhu et al.
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Instruction Tuning For Large Language Models: A Survey
(2023)
• Arxiv
• 82 citations
Zhang et al.
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Is Chatgpt Fair For Recommendation? Evaluating Fairness In Large Language Model Recommendation
(2023)
• Proceedings of the 17th ACM Conference on Recommender Systems
• 77 citations
Zhang et al.
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Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
(2023)
• Arxiv
• 100 citations
Zhang et al.
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Chatgpt And A New Academic Reality: Artificial Intelligence-written Research Papers And The Ethics Of The Large Language Models In Scholarly Publishing
(2023)
• Journal of the Association for Information Science and Technology
• 568 citations
Lund et al.
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Large Language Models As Zero-shot Human Models For Human-robot Interaction
(2023)
• 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• 45 citations
Bowen Zhang, Harold Soh
-
Learning Disentangled Semantic Spaces Of Explanations Via Invertible Neural Networks
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 44 citations
Yingji Zhang, Danilo S. Carvalho, André Freitas
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Huatuogpt, Towards Taming Language Model To Be A Doctor
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 110 citations
Zhang et al.
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Instruct-fingpt: Financial Sentiment Analysis By Instruction Tuning Of General-purpose Large Language Models
(2023)
• SSRN Electronic Journal
• 56 citations
Boyu Zhang, Hongyang Yang, Xiao-Yang Liu
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Wizardcoder: Empowering Code Large Language Models With Evol-instruct
(2023)
• No Venue
Luo et al.
-
Chatgpt As A Factual Inconsistency Evaluator For Text Summarization
(2023)
• Arxiv
• 48 citations
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
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Semantic-conditional Diffusion Networks For Image Captioning
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 71 citations
Luo et al.
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An Empirical Study Of Catastrophic Forgetting In Large Language Models During Continual Fine-tuning
(2023)
• Arxiv
• 41 citations
Luo et al.
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Lcm-lora: A Universal Stable-diffusion Acceleration Module
(2023)
• No Venue
Luo et al.
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Large Language Models And The Reverse Turing Test
(2023)
• Neural Computation
• 124 citations
Terrence Sejnowski
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Prompt-aligned Gradient For Prompt Tuning
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 112 citations
Zhu et al.
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Tidybot: Personalized Robot Assistance With Large Language Models
(2023)
• Autonomous Robots
• 77 citations
Wu et al.
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Tune-a-video: One-shot Tuning Of Image Diffusion Models For Text-to-video Generation
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 265 citations
Wu et al.
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Character-llm: A Trainable Agent For Role-playing
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 45 citations
Shao et al.
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Translating Radiology Reports Into Plain Language Using Chatgpt And GPT-4 With Prompt Learning: Promising Results, Limitations, And Potential
(2023)
• Visual Computing for Industry, Biomedicine, and Art
• 247 citations
Lyu et al.
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Spikegpt: Generative Pre-trained Language Model With Spiking Neural Networks
(2023)
• Arxiv
• 45 citations
Zhu et al.
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Testing Of Detection Tools For Ai-generated Text
(2023)
• International Journal for Educational Integrity
• 206 citations
Weber-Wulff et al.
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Enhancing Retrieval-augmented Large Language Models With Iterative Retrieval-generation Synergy
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 60 citations
Shao et al.
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Full Parameter Fine-tuning For Large Language Models With Limited Resources
(2023)
• No Venue
Lv et al.
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Fingpt: Large Generative Models For A Small Language
(2023)
• No Venue
Luukkonen et al.
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Kosmos-2.5: A Multimodal Literate Model
(2023)
• No Venue
Lv et al.
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Llm-rec: Personalized Recommendation Via Prompting Large Language Models
(2023)
• No Venue
Lyu 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)
• 45 citations
Lyu et al.
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Can Ai-generated Text Be Reliably Detected?
(2023)
• Arxiv
• 126 citations
Sadasivan et al.
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Secrets Of RLHF In Large Language Models Part I: PPO
(2023)
• No Venue
Zheng et al.
-
Languagempc: Large Language Models As Decision Makers For Autonomous Driving
(2023)
• Arxiv
• 43 citations
Sha et al.
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DREEAM: Guiding Attention With Evidence For Improving Document-level Relation Extraction
(2023)
• Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
• 49 citations
Youmi Ma, An Wang, Naoaki Okazaki
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Deepcache: Accelerating Diffusion Models For Free
(2023)
• No Venue
Xinyin Ma, Gongfan Fang, Xinchao Wang
-
Llm-pruner: On The Structural Pruning Of Large Language Models
(2023)
• Arxiv
• 68 citations
Xinyin Ma, Gongfan Fang, Xinchao Wang
-
Eureka: Human-level Reward Design Via Coding Large Language Models
(2023)
• No Venue
Ma et al.
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Large Language Model Is Not A Good Few-shot Information Extractor, But A Good Reranker For Hard Samples!
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 45 citations
Ma et al.
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Query Rewriting For Retrieval-augmented Large Language Models
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 60 citations
Ma et al.
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Let's Have A Chat! A Conversation With Chatgpt: Technology, Applications, And Limitations
(2023)
• Artificial Intelligence and Applications
• 93 citations
Sakib Shahriar, Kadhim Hayawi
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Larger Language Models Do In-context Learning Differently
(2023)
• Arxiv
• 88 citations
Wei et al.
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Human Preference Score: Better Aligning Text-to-image Models With Human Preference
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 52 citations
Wu et al.
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Vary: Scaling Up The Vision Vocabulary For Large Vision-language Models
(2023)
• No Venue
Wei et al.
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Ziplora: Any Subject In Any Style By Effectively Merging Loras
(2023)
• No Venue
Shah et al.
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Pmc-llama: Towards Building Open-source Language Models For Medicine
(2023)
• Arxiv
• 43 citations
Wu et al.
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Next-gpt: Any-to-any Multimodal LLM
(2023)
• No Venue
Wu et al.
-
Bloomberggpt: A Large Language Model For Finance
(2023)
• Arxiv
• 269 citations
Wu et al.
-
Chatgpt Or Grammarly? Evaluating Chatgpt On Grammatical Error Correction Benchmark
(2023)
• Arxiv
• 41 citations
Wu et al.
-
Multimodal Large Language Models: A Survey
(2023)
• 2023 IEEE International Conference on Big Data (BigData)
• 78 citations
Wu et al.
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Ai-generated Content (AIGC): A Survey
(2023)
• Arxiv
• 74 citations
Wu et al.
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Chat2vis: Generating Data Visualisations Via Natural Language Using Chatgpt, Codex And GPT-3 Large Language Models
(2023)
• IEEE Access
• 155 citations
Paula Maddigan, Teo Susnjak
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Experiences From Using Code Explanations Generated By Large Language Models In A Web Software Development E-book
(2023)
• Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1
• 146 citations
MacNeil et al.
-
Self-refine: Iterative Refinement With Self-feedback
(2023)
• Arxiv
• 176 citations
Madaan et al.
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Teaching Small Language Models To Reason
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
• 67 citations
Magister et al.
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Medical Image Captioning Via Generative Pretrained Transformers
(2023)
• Scientific Reports
• 58 citations
Selivanov et al.
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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
• 159 citations
Potsawee Manakul, Adian Liusie, Mark J. F. Gales
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When Not To Trust Language Models: Investigating Effectiveness Of Parametric And Non-parametric Memories
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 121 citations
Mallen et al.
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A Holistic Approach To Undesired Content Detection In The Real World
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 62 citations
Markov et al.
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From Google Gemini To Openai Q* (q-star): A Survey Of Reshaping The Generative Artificial Intelligence (AI) Research Landscape
(2023)
• Arxiv
• 53 citations
McIntosh et al.
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Sources Of Hallucination By Large Language Models On Inference Tasks
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 84 citations
McKenna et al.
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How Generative AI Models Such As Chatgpt Can Be (mis)used In SPC Practice, Education, And Research? An Exploratory Study
(2023)
• Quality Engineering
• 112 citations
Megahed et al.
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Locally Typical Sampling
(2023)
• Transactions of the Association for Computational Linguistics
• 50 citations
Meister et al.
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Augmented Language Models: A Survey
(2023)
• Arxiv
• 129 citations
Mialon et al.
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Co-writing Screenplays And Theatre Scripts With Language Models: An Evaluation By Industry Professionals
(2023)
• Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 154 citations
Mirowski et al.
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Selfcheck: Using Llms To Zero-shot Check Their Own Step-by-step Reasoning
(2023)
• No Venue
Ning Miao, Yee Whye Teh, Tom Rainforth
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Factscore: Fine-grained Atomic Evaluation Of Factual Precision In Long Form Text Generation
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 92 citations
Min et al.
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Recent Advances In Natural Language Processing Via Large Pre-trained Language Models: A Survey
(2023)
• ACM Computing Surveys
• 750 citations
Min et al.
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Pdftriage: Question Answering Over Long, Structured Documents
(2023)
• No Venue
Saad-Falcon et al.
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Orca 2: Teaching Small Language Models How To Reason
(2023)
• No Venue
Mitra et al.
-
Chatgpt Or Human? Detect And Explain. Explaining Decisions Of Machine Learning Model For Detecting Short Chatgpt-generated Text
(2023)
• Arxiv
• 70 citations
Sandra Mitrović, Davide Andreoletti, Omran Ayoub
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Freecontrol: Training-free Spatial Control Of Any Text-to-image Diffusion Model With Any Condition
(2023)
• No Venue
Mo et al.
-
Assigning AI: Seven Approaches For Students, With Prompts
(2023)
• SSRN Electronic Journal
• 87 citations
Ethan Mollick, Lilach Mollick
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Jais And Jais-chat: Arabic-centric Foundation And Instruction-tuned Open Generative Large Language Models
(2023)
• No Venue
Sengupta et al.
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Med-flamingo: A Multimodal Medical Few-shot Learner
(2023)
• No Venue
Moor et al.
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Few-shot Fine-tuning Vs. In-context Learning: A Fair Comparison And Evaluation
(2023)
• Findings of the Association for Computational Linguistics: ACL 2023
• 44 citations
Mosbach et al.
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Dragondiffusion: Enabling Drag-style Manipulation On Diffusion Models
(2023)
• No Venue
Mou et al.
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Octopack: Instruction Tuning Code Large Language Models
(2023)
• No Venue
Muennighoff et al.
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Crosslingual Generalization Through Multitask Finetuning
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 255 citations
Muennighoff et al.
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MTEB: Massive Text Embedding Benchmark
(2023)
• Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
• 204 citations
Muennighoff et al.
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Auditing Large Language Models: A Three-layered Approach
(2023)
• AI and Ethics
• 112 citations
Mökander et al.
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Covid-twitter-bert: A Natural Language Processing Model To Analyse COVID-19 Content On Twitter
(2023)
• Frontiers in Artificial Intelligence
• 159 citations
Martin Müller, Marcel Salathé, Per E Kummervold
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Scalable Extraction Of Training Data From (production) Language Models
(2023)
• Arxiv
• 52 citations
Nasr et al.
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A Comprehensive Overview Of Large Language Models
(2023)
• Arxiv
• 261 citations
Naveed et al.
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Generative Artificial Intelligence For Software Engineering -- A Research Agenda
(2023)
• Arxiv
• 53 citations
Nguyen-Duc et al.
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From Word Models To World Models: Translating From Natural Language To The Probabilistic Language Of Thought
(2023)
• No Venue
Wong et al.
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Seallms -- Large Language Models For Southeast Asia
(2023)
• No Venue
Nguyen et al.
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Culturax: A Cleaned, Enormous, And Multilingual Dataset For Large Language Models In 167 Languages
(2023)
• No Venue
Nguyen et al.
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Hyenadna: Long-range Genomic Sequence Modeling At Single Nucleotide Resolution
(2023)
• Arxiv
• 44 citations
Nguyen et al.
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Dylora: Parameter Efficient Tuning Of Pre-trained Models Using Dynamic Search-free Low-rank Adaptation
(2023)
• Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
• 47 citations
Valipour et al.
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Prompting Palm For Translation: Assessing Strategies And Performance
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 54 citations
Vilar et al.
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SINE: Single Image Editing With Text-to-image Diffusion Models
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 87 citations
Zhang et al.
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Baize: An Open-source Chat Model With Parameter-efficient Tuning On Self-chat Data
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 76 citations
Xu et al.
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A Categorical Archive Of Chatgpt Failures
(2023)
• Arxiv
• 373 citations
Ali Borji
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Large Language Models Meet Nl2code: A Survey
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 71 citations
Zan et al.
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On-policy Distillation Of Language Models: Learning From Self-generated Mistakes
(2023)
• No Venue
Agarwal et al.
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Towards Human-bot Collaborative Software Architecting With Chatgpt
(2023)
• Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering
• 114 citations
Ahmad et al.
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Information Retrieval Meets Large Language Models: A Strategic Report From Chinese IR Community
(2023)
• AI Open
• 54 citations
Ai et al.
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MEGA: Multilingual Evaluation Of Generative AI
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 61 citations
Ahuja et al.
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Can We Trust The Evaluation On Chatgpt?
(2023)
• Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)
• 60 citations
Aiyappa et al.
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GQA: Training Generalized Multi-query Transformer Models From Multi-head Checkpoints
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 127 citations
Ainslie et al.
-
Becoming Self-instruct: Introducing Early Stopping Criteria For Minimal Instruct Tuning
(2023)
• No Venue
Alshikh et al.
-
LLM In A Flash: Efficient Large Language Model Inference With Limited Memory
(2023)
• No Venue
Alizadeh et al.
-
Santacoder: Don't Reach For The Stars!
(2023)
• Arxiv
• 45 citations
Allal et al.
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The Falcon Series Of Open Language Models
(2023)
• Arxiv
• 101 citations
Almazrouei et al.
-
Learning From Mistakes Makes LLM Better Reasoner
(2023)
• No Venue
An et al.
-
Gpt4all: An Ecosystem Of Open Source Compressed Language Models
(2023)
• No Venue
Anand et al.
-
Qwen Technical Report
(2023)
• No Venue
Bai et al.
-
Out Of One, Many: Using Language Models To Simulate Human Samples
(2023)
• Political Analysis
• 314 citations
Argyle et al.
-
Fusionframes: Efficient Architectural Aspects For Text-to-video Generation Pipeline
(2023)
• No Venue
Arkhipkin et al.
-
Openflamingo: An Open-source Framework For Training Large Autoregressive Vision-language Models
(2023)
• No Venue
Awadalla et al.
-
Self-rag: Learning To Retrieve, Generate, And Critique Through Self-reflection
(2023)
• No Venue
Asai et al.
-
Spatext: Spatio-textual Representation For Controllable Image Generation
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 94 citations
Avrahami et al.
-
Blended Latent Diffusion
(2023)
• ACM Transactions on Graphics
• 193 citations
Omri Avrahami, Ohad Fried, Dani Lischinski
-
GPT-RE: In-context Learning For Relation Extraction Using Large Language Models
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 92 citations
Wan et al.
-
Diffusion Model Alignment Using Direct Preference Optimization
(2023)
• No Venue
Wallace et al.
-
Synthetic Data From Diffusion Models Improves Imagenet Classification
(2023)
• Arxiv
• 69 citations
Azizi et al.
-
Visionllm: Large Language Model Is Also An Open-ended Decoder For Vision-centric Tasks
(2023)
• Arxiv
• 86 citations
Wang et al.
-
Voyager: An Open-ended Embodied Agent With Large Language Models
(2023)
• Arxiv
• 143 citations
Wang et al.
-
Chatgpt: Applications, Opportunities, And Threats
(2023)
• 2023 Systems and Information Engineering Design Symposium (SIEDS)
• 147 citations
Bahrini et al.
-
LIMA: Less Is More For Alignment
(2023)
• No Venue
Zhou et al.
-
"kelly Is A Warm Person, Joseph Is A Role Model": Gender Biases In Llm-generated Reference Letters
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 58 citations
Wan et al.
-
Dawn Of The Transformer Era In Speech Emotion Recognition: Closing The Valence Gap
(2023)
• IEEE Transactions on Pattern Analysis and Machine Intelligence
• 206 citations
Wagner et al.
-
Codeplan: Repository-level Coding Using Llms And Planning
(2023)
• No Venue
Bairi 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)
• 427 citations
Bang et al.
-
Freshllms: Refreshing Large Language Models With Search Engine Augmentation
(2023)
• No Venue
Vu et al.
-
Tallrec: An Effective And Efficient Tuning Framework To Align Large Language Model With Recommendation
(2023)
• Proceedings of the 17th ACM Conference on Recommender Systems
• 183 citations
Bao et al.
-
Revisiting Relation Extraction In The Era Of Large Language Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 102 citations
Somin Wadhwa, Silvio Amir, Byron C. Wallace
-
Tinygpt-v: Efficient Multimodal Large Language Model Via Small Backbones
(2023)
• No Venue
Zhengqing Yuan, Zhaoxu Li, Lichao Sun
-
Exponentially Faster Language Modelling
(2023)
• No Venue
Peter Belcak, Roger Wattenhofer
-
No More Manual Tests? Evaluating And Improving Chatgpt For Unit Test Generation
(2023)
• Arxiv
• 46 citations
Yuan et al.
-
Scaling Relationship On Learning Mathematical Reasoning With Large Language Models
(2023)
• No Venue
Yuan et al.
-
Can GPT-3 Perform Statutory Reasoning?
(2023)
• Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law
• 46 citations
Andrew Blair-Stanek, Nils Holzenberger, Benjamin van Durme
-
Towards Language Models That Can See: Computer Vision Through The LENS Of Natural Language
(2023)
• No Venue
Berrios et al.
-
Where To Go Next For Recommender Systems? ID- Vs. Modality-based Recommender Models Revisited
(2023)
• Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 103 citations
Yuan et al.
-
Prompting Is Programming: A Query Language For Large Language Models
(2023)
• Proceedings of the ACM on Programming Languages
• 56 citations
Luca Beurer-Kellner, Marc Fischer, Martin Vechev
-
Assessing Student Errors In Experimentation Using Artificial Intelligence And Large Language Models: A Comparative Study With Human Raters
(2023)
• Computers and Education: Artificial Intelligence
• 41 citations
Bewersdorff et al.
-
Purple Llama Cyberseceval: A Secure Coding Benchmark For Language Models
(2023)
• No Venue
Bhatt et al.
-
Pythia: A Suite For Analyzing Large Language Models Across Training And Scaling
(2023)
• Arxiv
• 103 citations
Biderman et al.
-
Easily Accessible Text-to-image Generation Amplifies Demographic Stereotypes At Large Scale
(2023)
• 2023 ACM Conference on Fairness, Accountability, and Transparency
• 165 citations
Bianchi et al.
-
Using Cognitive Psychology To Understand GPT-3
(2023)
• Proceedings of the National Academy of Sciences
• 303 citations
Marcel Binz, Eric Schulz
-
Align Your Latents: High-resolution Video Synthesis With Latent Diffusion Models
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 301 citations
Blattmann et al.
-
Stable Video Diffusion: Scaling Latent Video Diffusion Models To Large Datasets
(2023)
• Arxiv
• 44 citations
Blattmann et al.
-
Emergent Autonomous Scientific Research Capabilities Of Large Language Models
(2023)
• Arxiv
• 61 citations
Daniil A. Boiko, Robert MacKnight, Gabe Gomes
-
GPT As Knowledge Worker: A Zero-shot Evaluation Of (AI)CPA Capabilities
(2023)
• SSRN Electronic Journal
• 50 citations
Bommarito et al.
-
Chatclimate: Grounding Conversational AI In Climate Science
(2023)
• Communications Earth & Environment
• 68 citations
Vaghefi et al.
-
Distributed Inference And Fine-tuning Of Large Language Models Over The Internet
(2023)
• No Venue
Borzunov et al.
-
Eight Things To Know About Large Language Models
(2023)
• Arxiv
• 77 citations
Samuel R. Bowman
-
Rethinking Attention: Exploring Shallow Feed-forward Neural Networks As An Alternative To Attention Layers In Transformers
(2023)
• No Venue
Bozic et al.
-
Promptify: Text-to-image Generation Through Interactive Prompt Exploration With Large Language Models
(2023)
• Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
• 82 citations
Brade et al.
-
Chemcrow: Augmenting Large-language Models With Chemistry Tools
(2023)
• Arxiv
• 106 citations
Bran et al.
-
Sparks Of Artificial General Intelligence: Early Experiments With GPT-4
(2023)
• Arxiv
• 1146 citations
Bubeck et al.
-
RT-2: Vision-language-action Models Transfer Web Knowledge To Robotic Control
(2023)
• No Venue
Brohan et al.
-
MAGVIT: Masked Generative Video Transformer
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 62 citations
Yu 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
-
Weak-to-strong Generalization: Eliciting Strong Capabilities With Weak Supervision
(2023)
• No Venue
Burns et al.
-
Just Tell Me: Prompt Engineering In Business Process Management
(2023)
• Lecture Notes in Business Information Processing
• 43 citations
Busch et al.
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Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
(2023)
• No Venue
Veen et al.
-
Findings Of The Babylm Challenge: Sample-efficient Pretraining On Developmentally Plausible Corpora
(2023)
• Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
• 56 citations
Warstadt et al.
-
Universal And Transferable Adversarial Attacks On Aligned Language Models
(2023)
• Arxiv
• 112 citations
Zou et al.
-
Mathcoder: Seamless Code Integration In Llms For Enhanced Mathematical Reasoning
(2023)
• No Venue
Wang et al.
-
Turning A CLIP Model Into A Scene Text Detector
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 50 citations
Yu et al.
-
Universalner: Targeted Distillation From Large Language Models For Open Named Entity Recognition
(2023)
• No Venue
Zhou et al.
-
Low-rank Adaptation Of Large Language Model Rescoring For Parameter-efficient Speech Recognition
(2023)
• No Venue
Yu et al.
-
A Comprehensive Survey Of Ai-generated Content (AIGC): A History Of Generative AI From GAN To Chatgpt
(2023)
• Arxiv
• 298 citations
Cao et al.
-
Can Large Language Models Transform Computational Social Science?
(2023)
• Computational Linguistics
• 265 citations
Ziems et al.
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Open Problems And Fundamental Limitations Of Reinforcement Learning From Human Feedback
(2023)
• No Venue
Casper et al.
-
Spanish Pre-trained BERT Model And Evaluation Data
(2023)
• Arxiv
• 245 citations
Cañete et al.
-
Plug-and-play Diffusion Features For Text-driven Image-to-image Translation
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 306 citations
Tumanyan et al.
-
Musicagent: An AI Agent For Music Understanding And Generation With Large Language Models
(2023)
• No Venue
Yu et al.
-
Wavecoder: Widespread And Versatile Enhanced Instruction Tuning With Refined Data Generation
(2023)
• No Venue
Yu et al.
-
Merlin:empowering Multimodal Llms With Foresight Minds
(2023)
• No Venue
Yu et al.
-
Task Residual For Tuning Vision-language Models
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 43 citations
Yu et al.
-
Large Language Model As Attributed Training Data Generator: A Tale Of Diversity And Bias
(2023)
• NeurIPS 2023
• 52 citations
Yu et al.
-
Could A Large Language Model Be Conscious?
(2023)
• Boston Review August 9 2023
• 102 citations
David J. Chalmers
-
Capsfusion: Rethinking Image-text Data At Scale
(2023)
• No Venue
Yu et al.
-
Language Model Behavior: A Comprehensive Survey
(2023)
• Computational Linguistics
• 49 citations
Tyler A. Chang, Benjamin K. Bergen
-
Muse: Text-to-image Generation Via Masked Generative Transformers
(2023)
• Arxiv
• 96 citations
Chang et al.
-
A Survey On Evaluation Of Large Language Models
(2023)
• No Venue
Chang et al.
-
Attend-and-excite: Attention-based Semantic Guidance For Text-to-image Diffusion Models
(2023)
• ACM Transactions on Graphics
• 225 citations
Chefer et al.
-
Open-vocabulary Queryable Scene Representations For Real World Planning
(2023)
• 2023 IEEE International Conference on Robotics and Automation (ICRA)
• 66 citations
Chen et al.
-
Alpagasus: Training A Better Alpaca With Fewer Data
(2023)
• No Venue
Chen et al.
-
Minigpt-v2: Large Language Model As A Unified Interface For Vision-language Multi-task Learning
(2023)
• No Venue
Chen et al.
-
Internvl: Scaling Up Vision Foundation Models And Aligning For Generic Visual-linguistic Tasks
(2023)
• No Venue
Chen et al.
-
Exploring Wav2vec 2.0 Fine-tuning For Improved Speech Emotion Recognition
(2023)
• ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
• 86 citations
Li-Wei Chen, Alexander Rudnicky
-
Beyond Surface: Probing Llama Across Scales And Layers
(2023)
• No Venue
Chen et al.
-
An Empirical Survey Of Data Augmentation For Limited Data Learning In NLP
(2023)
• Transactions of the Association for Computational Linguistics
• 110 citations
Chen et al.
-
Extending Context Window Of Large Language Models Via Positional Interpolation
(2023)
• No Venue
Chen et al.
-
Improving Interpretability Of Deep Sequential Knowledge Tracing Models With Question-centric Cognitive Representations
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 47 citations
Chen et al.
-
Hallucination Detection: Robustly Discerning Reliable Answers In Large Language Models
(2023)
• Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
• 50 citations
Chen et al.
-
MEDITRON-70B: Scaling Medical Pretraining For Large Language Models
(2023)
• Arxiv
• 67 citations
Chen et al.
-
Longlora: Efficient Fine-tuning Of Long-context Large Language Models
(2023)
• No Venue
Chen et al.
-
Large-scale Language Model Rescoring On Long-form Data
(2023)
• Findings of the Association for Computational Linguistics: EACL 2023
• 47 citations
Chen et al.
-
Lorashear: Efficient Large Language Model Structured Pruning And Knowledge Recovery
(2023)
• No Venue
Chen et al.
-
Toward Subgraph-guided Knowledge Graph Question Generation With Graph Neural Networks
(2023)
• IEEE Transactions on Neural Networks and Learning Systems
• 51 citations
Yu Chen, Lingfei Wu, Mohammed J. Zaki
-
Schrodinger Bridges Beat Diffusion Models On Text-to-speech Synthesis
(2023)
• No Venue
Chen et al.
-
Pixart-α: Fast Training Of Diffusion Transformer For Photorealistic Text-to-image Synthesis
(2023)
• No Venue
Chen et al.
-
Pali-3 Vision Language Models: Smaller, Faster, Stronger
(2023)
• No Venue
Chen et al.
-
Teaching Large Language Models To Self-debug
(2023)
• Arxiv
• 64 citations
Chen et al.
-
Shikra: Unleashing Multimodal Llm's Referential Dialogue Magic
(2023)
• Arxiv
• 66 citations
Chen et al.
-
Skills-in-context Prompting: Unlocking Compositionality In Large Language Models
(2023)
• No Venue
Chen et al.
-
VLP: A Survey On Vision-language Pre-training
(2023)
• Machine Intelligence Research
• 151 citations
Chen et al.
-
Xtrimopglm: Unified 100b-scale Pre-trained Transformer For Deciphering The Language Of Protein
(2023)
• Arxiv
• 69 citations
Chen et al.
-
Language Models Don't Always Say What They Think: Unfaithful Explanations In Chain-of-thought Prompting
(2023)
• Arxiv
• 59 citations
Turpin et al.
-
A Picture Is Worth More Than 77 Text Tokens: Evaluating Clip-style Models On Dense Captions
(2023)
• No Venue
Urbanek et al.
-
Large Language Models Fail On Trivial Alterations To Theory-of-mind Tasks
(2023)
• Arxiv
• 58 citations
Tomer Ullman
-
Llama 2: Open Foundation And Fine-tuned Chat Models
(2023)
• No Venue
Touvron et al.
-
LEDITS: Real Image Editing With DDPM Inversion And Semantic Guidance
(2023)
• No Venue
Linoy Tsaban, Apolinário Passos
-
Chatanything: Facetime Chat With Llm-enhanced Personas
(2023)
• No Venue
Zhao et al.
-
Aligning Large Language Models With Human: A Survey
(2023)
• Arxiv
• 42 citations
Wang et al.
-
Learning And Forgetting Unsafe Examples In Large Language Models
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 76 citations
Zhao et al.
-
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter With Code-based Self-verification
(2023)
• No Venue
Zhou et al.
-
Do Large Language Models Know What Humans Know?
(2023)
• Cognitive Science
• 63 citations
Trott et al.
-
Interleaving Retrieval With Chain-of-thought Reasoning For Knowledge-intensive Multi-step Questions
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 96 citations
Trivedi et al.
-
Adapting Large Language Models Via Reading Comprehension
(2023)
• No Venue
Daixuan Cheng, Shaohan Huang, Furu Wei
-
Is GPT-4 A Good Data Analyst?
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 45 citations
Liying Cheng, Xingxuan Li, Lidong Bing
-
Marked Personas: Using Natural Language Prompts To Measure Stereotypes In Language Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 63 citations
Myra Cheng, Esin Durmus, Dan Jurafsky
-
Agents: An Open-source Framework For Autonomous Language Agents
(2023)
• No Venue
Zhou et al.
-
Contrastive Chain-of-thought Prompting
(2023)
• No Venue
Chia et al.
-
Reproducible Scaling Laws For Contrastive Language-image Learning
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 264 citations
Cherti et al.
-
Can Large Language Models Be An Alternative To Human Evaluations?
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 153 citations
Cheng-Han Chiang, Hung-Yi Lee
-
Level Generation Through Large Language Models
(2023)
• Proceedings of the 18th International Conference on the Foundations of Digital Games
• 50 citations
Todd et al.
-
Dall-eval: Probing The Reasoning Skills And Social Biases Of Text-to-image Generation Models
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 82 citations
Jaemin Cho, Abhay Zala, Mohit Bansal
-
Fine-tuning Large Neural Language Models For Biomedical Natural Language Processing
(2023)
• Patterns
• 114 citations
Tinn et al.
-
Mobilevlm : A Fast, Reproducible And Strong Vision Language Assistant For Mobile Devices
(2023)
• No Venue
Chu et al.
-
Dola: Decoding By Contrasting Layers Improves Factuality In Large Language Models
(2023)
• No Venue
Chuang et al.
-
Promptpaint: Steering Text-to-image Generation Through Paint Medium-like Interactions
(2023)
• Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
• 53 citations
John Joon Young Chung, Eytan Adar
-
Increasing Diversity While Maintaining Accuracy: Text Data Generation With Large Language Models And Human Interventions
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 46 citations
John Joon Young Chung, Ece Kamar, Saleema Amershi
-
Large Language Models In The Workplace: A Case Study On Prompt Engineering For Job Type Classification
(2023)
• Lecture Notes in Computer Science
• 42 citations
Clavié et al.
-
FLEURS: Few-shot Learning Evaluation Of Universal Representations Of Speech
(2023)
• 2022 IEEE Spoken Language Technology Workshop (SLT)
• 90 citations
Conneau et al.
-
Machine Generated Text: A Comprehensive Survey Of Threat Models And Detection Methods
(2023)
• IEEE Access
• 101 citations
Evan Crothers, Nathalie Japkowicz, Herna Viktor
-
Efficient And Effective Text Encoding For Chinese Llama And Alpaca
(2023)
• Arxiv
• 59 citations
Yiming Cui, Ziqing Yang, Xin Yao
-
Lumos: Learning Agents With Unified Data, Modular Design, And Open-source Llms
(2023)
• No Venue
Yin et al.
-
Fine-tuning Language Models For Factuality
(2023)
• No Venue
Tian et al.
-
Benchmarking Large Language Models For Automated Verilog RTL Code Generation
(2023)
• 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
• 58 citations
Thakur et al.
-
Uncovering Chatgpt's Capabilities In Recommender Systems
(2023)
• RecSys '23: Seventeenth ACM Conference on Recommender Systems
• 105 citations
Dai et al.
-
Large Language Models For Compiler Optimization
(2023)
• No Venue
Cummins et al.
-
Safe RLHF: Safe Reinforcement Learning From Human Feedback
(2023)
• No Venue
Dai et al.
-
Instructblip: Towards General-purpose Vision-language Models With Instruction Tuning
(2023)
• Arxiv
• 252 citations
Dai et al.
-
Auggpt: Leveraging Chatgpt For Text Data Augmentation
(2023)
• Arxiv
• 89 citations
Dai et al.
-
Just Ask For Calibration: Strategies For Eliciting Calibrated Confidence Scores From Language Models Fine-tuned With Human Feedback
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 41 citations
Tian et al.
-
Opportunities And Challenges For Chatgpt And Large Language Models In Biomedicine And Health
(2023)
• Briefings in Bioinformatics
• 220 citations
Tian et al.
-
Choice Over Control: How Users Write With Large Language Models Using Diegetic And Non-diegetic Prompting
(2023)
• Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 51 citations
Dang et al.
-
Scaling Vision Transformers To 22 Billion Parameters
(2023)
• Arxiv
• 61 citations
Dehghani et al.
-
Language Modeling Is Compression
(2023)
• No Venue
Delétang et al.
-
Large Language Models Are Zero-shot Fuzzers: Fuzzing Deep-learning Libraries Via Large Language Models
(2023)
• Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis
• 127 citations
Deng et al.
-
Prompt Engineering A Prompt Engineer
(2023)
• No Venue
Ye et al.
-
Conversing With Copilot: Exploring Prompt Engineering For Solving CS1 Problems Using Natural Language
(2023)
• Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1
• 194 citations
Paul Denny, Viraj Kumar, Nasser Giacaman
-
Toxicity In Chatgpt: Analyzing Persona-assigned Language Models
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 97 citations
Deshpande et al.
-
Beyond The Safeguards: Exploring The Security Risks Of Chatgpt
(2023)
• Arxiv
• 44 citations
Erik Derner, Kristina Batistič
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Chain-of-verification Reduces Hallucination In Large Language Models
(2023)
• No Venue
Dhuliawala et al.
-
LIDA: A Tool For Automatic Generation Of Grammar-agnostic Visualizations And Infographics Using Large Language Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
• 42 citations
Victor Dibia
-
Is GPT-3 A Good Data Annotator?
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 99 citations
Ding et al.
-
Enhancing Chat Language Models By Scaling High-quality Instructional Conversations
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 47 citations
Ding et al.
-
Task And Motion Planning With Large Language Models For Object Rearrangement
(2023)
• 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• 44 citations
Ding et al.
-
Longnet: Scaling Transformers To 1,000,000,000 Tokens
(2023)
• No Venue
Ding et al.
-
Lp-musiccaps: Llm-based Pseudo Music Captioning
(2023)
• No Venue
Doh et al.
-
Large Language Model For Science: A Study On P Vs. NP
(2023)
• No Venue
Dong et al.
-
Dreamllm: Synergistic Multimodal Comprehension And Creation
(2023)
• No Venue
Dong et al.
-
Dense Text Retrieval Based On Pretrained Language Models: A Survey
(2023)
• ACM Transactions on Information Systems
• 81 citations
Zhao et al.
-
A Survey On Long Text Modeling With Transformers
(2023)
• Arxiv
• 230 citations
Dong et al.
-
Generative AI In Computing Education: Perspectives Of Students And Instructors
(2023)
• 2023 IEEE Frontiers in Education Conference (FIE)
• 70 citations
Zastudil et al.
-
Clinical Prompt Learning With Frozen Language Models
(2023)
• IEEE Transactions on Neural Networks and Learning Systems
• 41 citations
Taylor et al.
-
Does Synthetic Data Generation Of Llms Help Clinical Text Mining?
(2023)
• Arxiv
• 74 citations
Tang et al.
-
Palm-e: An Embodied Multimodal Language Model
(2023)
• Arxiv
• 323 citations
Driess et al.
-
Shortcut Learning Of Large Language Models In Natural Language Understanding
(2023)
• Communications of the ACM
• 43 citations
Du et al.
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Improving Factuality And Reasoning In Language Models Through Multiagent Debate
(2023)
• Arxiv
• 61 citations
Du et al.
-
Mplug-owl2: Revolutionizing Multi-modal Large Language Model With Modality Collaboration
(2023)
• No Venue
Ye et al.
-
Faith And Fate: Limits Of Transformers On Compositionality
(2023)
• Arxiv
• 41 citations
Dziri et al.
-
Exploring Large Language Models' Cognitive Moral Development Through Defining Issues Test
(2023)
• No Venue
Tanmay et al.
-
Instruction-following Evaluation For Large Language Models
(2023)
• No Venue
Zhou et al.
-
Tinystories: How Small Can Language Models Be And Still Speak Coherent English?
(2023)
• No Venue
Ronen Eldan, Yuanzhi Li
-
Ip-adapter: Text Compatible Image Prompt Adapter For Text-to-image Diffusion Models
(2023)
• No Venue
Ye et al.
-
Gpts Are Gpts: An Early Look At The Labor Market Impact Potential Of Large Language Models
(2023)
• Arxiv
• 438 citations
Eloundou et al.
-
Judgelm: Fine-tuned Large Language Models Are Scalable Judges
(2023)
• No Venue
Lianghui Zhu, Xinggang Wang, Xinlong Wang
-
GPT-3.5, GPT-4, Or BARD? Evaluating Llms Reasoning Ability In Zero-shot Setting And Performance Boosting Through Prompts
(2023)
• Natural Language Processing Journal
• 62 citations
Espejel et al.
-
Perspectives On Large Language Models For Relevance Judgment
(2023)
• Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval
• 102 citations
Faggioli et al.
-
GALIP: Generative Adversarial Clips For Text-to-image Synthesis
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 94 citations
Tao et al.
-
RMT: Retentive Networks Meet Vision Transformers
(2023)
• No Venue
Fan et al.
-
Large Language Models For Software Engineering: Survey And Open Problems
(2023)
• 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE)
• 133 citations
Fan et al.
-
A Survey Of Large Language Models
(2023)
• Arxiv
• 1202 citations
Zhao et al.
-
Friend Or Foe? Exploring The Implications Of Large Language Models On The Science System
(2023)
• AI & SOCIETY
• 43 citations
Fecher et al.
-
Transforming Sentiment Analysis In The Financial Domain With Chatgpt
(2023)
• Machine Learning with Applications
• 95 citations
Fatouros 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)
• 57 citations
Fei et al.
-
Language Models Can Be Logical Solvers
(2023)
• No Venue
Feng et al.
-
Should Chatgpt Be Biased? Challenges And Risks Of Bias In Large Language Models
(2023)
• First Monday
• 157 citations
Emilio Ferrara
-
Cognitive Mirage: A Review Of Hallucinations In Large Language Models
(2023)
• Arxiv
• 46 citations
Ye et al.
-
Sparsegpt: Massive Language Models Can Be Accurately Pruned In One-shot
(2023)
• Arxiv
• 48 citations
Elias Frantar, Dan Alistarh
-
MASSIVE: A 1m-example Multilingual Natural Language Understanding Dataset With 51 Typologically-diverse Languages
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 65 citations
Fitzgerald et al.
-
Medalign: A Clinician-generated Dataset For Instruction Following With Electronic Medical Records
(2023)
• No Venue
Fleming et al.
-
Qmoe: Practical Sub-1-bit Compression Of Trillion-parameter Models
(2023)
• No Venue
Elias Frantar, Dan Alistarh
-
A Practical Survey On Faster And Lighter Transformers
(2023)
• ACM Computing Surveys
• 63 citations
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
-
Gptscore: Evaluate As You Desire
(2023)
• Arxiv
• 76 citations
Fu et al.
-
Chatgpt For Vulnerability Detection, Classification, And Repair: How Far Are We?
(2023)
• 2023 30th Asia-Pacific Software Engineering Conference (APSEC)
• 50 citations
Fu et al.
-
On The Effectiveness Of Parameter-efficient Fine-tuning
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 69 citations
Fu et al.
-
Editing Large Language Models: Problems, Methods, And Opportunities
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 51 citations
Yao et al.
-
Tree Of Thoughts: Deliberate Problem Solving With Large Language Models
(2023)
• Arxiv
• 362 citations
Yao et al.
-
Retroformer: Retrospective Large Language Agents With Policy Gradient Optimization
(2023)
• No Venue
Yao et al.
-
Ziya2: Data-centric Learning Is All Llms Need
(2023)
• No Venue
Gan et al.
-
Large Language Models In Education: Vision And Opportunities
(2023)
• 2023 IEEE International Conference on Big Data (BigData)
• 58 citations
Gan et al.
-
Deepspeed-visualchat: Multi-round Multi-image Interleave Chat Via Multi-modal Causal Attention
(2023)
• No Venue
Yao et al.
-
Distil-whisper: Robust Knowledge Distillation Via Large-scale Pseudo Labelling
(2023)
• No Venue
Sanchit Gandhi, Patrick von Platen, Alexander M. Rush
-
Pytorch FSDP: Experiences On Scaling Fully Sharded Data Parallel
(2023)
• Proceedings of the VLDB Endowment
• 86 citations
Zhao 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
-
Enabling Large Language Models To Generate Text With Citations
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 73 citations
Gao et al.
-
Clip-adapter: Better Vision-language Models With Feature Adapters
(2023)
• International Journal of Computer Vision
• 437 citations
Gao et al.
-
Assistgpt: A General Multi-modal Assistant That Can Plan, Execute, Inspect, And Learn
(2023)
• No Venue
Gao et al.
-
Chat-rec: Towards Interactive And Explainable Llms-augmented Recommender System
(2023)
• Arxiv
• 51 citations
Gao et al.
-
Neural Approaches To Conversational Information Retrieval
(2023)
• The Information Retrieval Series
• 59 citations
Gao et al.
-
Llama-adapter V2: Parameter-efficient Visual Instruction Model
(2023)
• Arxiv
• 104 citations
Gao et al.
-
Exploring The Feasibility Of Chatgpt For Event Extraction
(2023)
• Arxiv
• 47 citations
Gao et al.
-
G-llava: Solving Geometric Problem With Multi-modal Large Language Model
(2023)
• No Venue
Gao et al.
-
Retrieval-augmented Generation For Large Language Models: A Survey
(2023)
• Arxiv
• 366 citations
Gao et al.
-
Precise Zero-shot Dense Retrieval Without Relevance Labels
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 102 citations
Gao et al.
-
RARR: Researching And Revising What Language Models Say, Using Language Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 46 citations
Gao et al.
-
PIPPA: A Partially Synthetic Conversational Dataset
(2023)
• No Venue
Tear Gosling, Alpin Dale, Yinhe Zheng
-
CLIP\(^2\): Contrastive Language-image-point Pretraining From Real-world Point Cloud Data
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 43 citations
Zeng et al.
-
Neurosymbolic AI: The 3rd Wave
(2023)
• Artificial Intelligence Review
• 182 citations
Artur D'Avila Garcez, Luis C. Lamb
-
Repairing The Cracked Foundation: A Survey Of Obstacles In Evaluation Practices For Generated Text
(2023)
• Journal of Artificial Intelligence Research
• 80 citations
Sebastian Gehrmann, Elizabeth Clark, Thibault Sellam
-
Openagi: When LLM Meets Domain Experts
(2023)
• Arxiv
• 68 citations
Ge et al.
-
Agenttuning: Enabling Generalized Agent Abilities For Llms
(2023)
• No Venue
Zeng et al.
-
Flacuna: Unleashing The Problem Solving Power Of Vicuna Using FLAN Fine-tuning
(2023)
• No Venue
Ghosal et al.
-
Composable Function-preserving Expansions For Transformer Architectures
(2023)
• No Venue
Andrea Gesmundo, Kaitlin Maile
-
Unleashing Text-to-image Diffusion Models For Visual Perception
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 80 citations
Zhao et al.
-
Chatgpt Perpetuates Gender Bias In Machine Translation And Ignores Non-gendered Pronouns: Findings Across Bengali And Five Other Low-resource Languages
(2023)
• Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society
• 79 citations
Sourojit Ghosh, Aylin Caliskan
-
Chatgpt Outperforms Crowd-workers For Text-annotation Tasks
(2023)
• Proceedings of the National Academy of Sciences
• 574 citations
Fabrizio Gilardi, Meysam Alizadeh, Maël Kubli
-
Llms4ol: Large Language Models For Ontology Learning
(2023)
• Lecture Notes in Computer Science
• 49 citations
Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
-
Prompt Cache: Modular Attention Reuse For Low-latency Inference
(2023)
• No Venue
Gim et al.
-
Commoncanvas: An Open Diffusion Model Trained With Creative-commons Images
(2023)
• No Venue
Gokaslan et al.
-
Demystifying Prompts In Language Models Via Perplexity Estimation
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 71 citations
Gonen et al.
-
Chatgpt Is Not All You Need. A State Of The Art Review Of Large Generative AI Models
(2023)
• Arxiv
• 183 citations
Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchan
-
CRITIC: Large Language Models Can Self-correct With Tool-interactive Critiquing
(2023)
• Arxiv
• 41 citations
Gou et al.
-
Not What You've Signed Up For: Compromising Real-world Llm-integrated Applications With Indirect Prompt Injection
(2023)
• Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security
• 128 citations
Greshake et al.
-
Large Language Models Are Zero-shot Time Series Forecasters
(2023)
• Arxiv
• 67 citations
Gruver et al.
-
A Systematic Survey Of Prompt Engineering On Vision-language Foundation Models
(2023)
• Arxiv
• 49 citations
Gu et al.
-
Knowledge Distillation Of Large Language Models
(2023)
• No Venue
Gu et al.
-
Legalbench: A Collaboratively Built Benchmark For Measuring Legal Reasoning In Large Language Models
(2023)
• SSRN Electronic Journal
• 75 citations
Guha et al.
-
Hallucinations In Large Multilingual Translation Models
(2023)
• Transactions of the Association for Computational Linguistics
• 67 citations
Guerreiro et al.
-
Peptidebert: A Language Model Based On Transformers For Peptide Property Prediction
(2023)
• The Journal of Physical Chemistry Letters
• 46 citations
Guntuboina et al.
-
Challenging Big-bench Tasks And Whether Chain-of-thought Can Solve Them
(2023)
• Findings of the Association for Computational Linguistics: ACL 2023
• 126 citations
Suzgun et al.
-
The Dawn Of Lmms: Preliminary Explorations With Gpt-4v(ision)
(2023)
• Arxiv
• 139 citations
Yang et al.
-
Evaluating Large Language Models: A Comprehensive Survey
(2023)
• Arxiv
• 41 citations
Guo et al.
-
Connecting Large Language Models With Evolutionary Algorithms Yields Powerful Prompt Optimizers
(2023)
• No Venue
Guo et al.
-
Animatediff: Animate Your Personalized Text-to-image Diffusion Models Without Specific Tuning
(2023)
• No Venue
Guo et al.
-
CALIP: Zero-shot Enhancement Of CLIP With Parameter-free Attention
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 48 citations
Guo et al.
-
PPTC Benchmark: Evaluating Large Language Models For Powerpoint Task Completion
(2023)
• No Venue
Guo et al.
-
What Can Large Language Models Do In Chemistry? A Comprehensive Benchmark On Eight Tasks
(2023)
• Arxiv
• 67 citations
Guo et al.
-
Towards Interpretable Mental Health Analysis With Large Language Models
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 69 citations
Yang et al.
-
Demystifying CLIP Data
(2023)
• No Venue
Xu et al.
-
Imagic: Text-based Real Image Editing With Diffusion Models
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 473 citations
Kawar et al.
-
Photorealistic Video Generation With Diffusion Models
(2023)
• No Venue
Gupta et al.
-
Visual Programming: Compositional Visual Reasoning Without Training
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 110 citations
Tanmay Gupta, Aniruddha Kembhavi
-
Using Human Feedback To Fine-tune Diffusion Models Without Any Reward Model
(2023)
• No Venue
Yang et al.
-
A Real-world Webagent With Planning, Long Context Understanding, And Program Synthesis
(2023)
• No Venue
Gur et al.
-
Artificial Muses: Generative Artificial Intelligence Chatbots Have Risen To Human-level Creativity
(2023)
• Journal of Creativity
• 120 citations
Jennifer Haase, Paul H. P. Hanel
-
Regulating Chatgpt And Other Large Generative AI Models
(2023)
• 2023 ACM Conference on Fairness Accountability and Transparency
• 321 citations
Philipp Hacker, Andreas Engel, Marco Mauer
-
Medalpaca -- An Open-source Collection Of Medical Conversational AI Models And Training Data
(2023)
• Arxiv
• 76 citations
Han et al.
-
Lm-infinite: Simple On-the-fly Length Generalization For Large Language Models
(2023)
• No Venue
Han et al.
-
Svdiff: Compact Parameter Space For Diffusion Fine-tuning
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 85 citations
Han et al.
-
Onellm: One Framework To Align All Modalities With Language
(2023)
• No Venue
Han et al.
-
Fingpt: Open-source Financial Large Language Models
(2023)
• SSRN Electronic Journal
• 144 citations
Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang
-
Uniaudio: An Audio Foundation Model Toward Universal Audio Generation
(2023)
• No Venue
Yang et al.
-
Getting Pwn'd By AI: Penetration Testing With Large Language Models
(2023)
• ESEC/FSE '23: 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
• 61 citations
Andreas Happe, Jürgen Cito
-
Rerender A Video: Zero-shot Text-guided Video-to-video Translation
(2023)
• No Venue
Yang et al.
-
Reasoning With Language Model Is Planning With World Model
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 50 citations
Hao et al.
-
Diffusiondb: A Large-scale Prompt Gallery Dataset For Text-to-image Generative Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 97 citations
Wang et al.
-
MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action
(2023)
• Arxiv
• 62 citations
Yang et al.
-
The Political Ideology Of Conversational AI: Converging Evidence On Chatgpt's Pro-environmental, Left-libertarian Orientation
(2023)
• SSRN Electronic Journal
• 80 citations
Jochen Hartmann, Jasper Schwenzow, Maximilian Witte
-
Leveraging Large Language Models For Sequential Recommendation
(2023)
• Proceedings of the 17th ACM Conference on Recommender Systems
• 66 citations
Harte et al.
-
Fastervit: Fast Vision Transformers With Hierarchical Attention
(2023)
• No Venue
Hatamizadeh et al.
-
Exploring The Limits Of Chatgpt For Query Or Aspect-based Text Summarization
(2023)
• Arxiv
• 78 citations
Yang et al.
-
Octopus: Embodied Vision-language Programmer From Environmental Feedback
(2023)
• No Venue
Yang et al.
-
Rethinking With Retrieval: Faithful Large Language Model Inference
(2023)
• Arxiv
• 44 citations
Hangfeng He, Hongming Zhang, Dan Roth
-
Large Language Models For Code: Security Hardening And Adversarial Testing
(2023)
• Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
• 47 citations
Jingxuan He, Martin Vechev
-
Baichuan 2: Open Large-scale Language Models
(2023)
• No Venue
Yang et al.
-
Large Language Models As Optimizers
(2023)
• No Venue
Yang et al.
-
Knowledge-prompted Estimator: A Novel Approach To Explainable Machine Translation Assessment
(2023)
• Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• 107 citations
Yang et al.
-
Retentive Network: A Successor To Transformer For Large Language Models
(2023)
• No Venue
Sun et al.
-
Debiased Contrastive Learning For Sequential Recommendation
(2023)
• Proceedings of the ACM Web Conference 2023
• 109 citations
Yang et al.
-
Contrastive Prefence Learning: Learning From Human Feedback Without RL
(2023)
• No Venue
Hejna et al.
-
In-context Learning Creates Task Vectors
(2023)
• No Venue
Roee Hendel, Mor Geva, Amir Globerson
-
Exploring The Responses Of Large Language Models To Beginner Programmers' Help Requests
(2023)
• Proceedings of the 2023 ACM Conference on International Computing Education Research V.1
• 92 citations
Hellas et al.
-
How Good Are GPT Models At Machine Translation? A Comprehensive Evaluation
(2023)
• Arxiv
• 155 citations
Hendy et al.
-
Sensecape: Enabling Multilevel Exploration And Sensemaking With Large Language Models
(2023)
• Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
• 68 citations
Suh et al.
-
Sql-palm: Improved Large Language Modeladaptation For Text-to-sql
(2023)
• No Venue
Sun et al.
-
Llm-planner: Few-shot Grounded Planning For Embodied Agents With Large Language Models
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 164 citations
Song et al.
-
Large Language Models Are Reasoning Teachers
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 67 citations
Namgyu Ho, Laura Schmid, Se-Young Yun
-
Evaluating Large Language Models On A Highly-specialized Topic, Radiation Oncology Physics
(2023)
• Frontiers in Oncology
• 103 citations
Holmes et al.
-
Principle-driven Self-alignment Of Language Models From Scratch With Minimal Human Supervision
(2023)
• Arxiv
• 53 citations
Sun et al.
-
LRM: Large Reconstruction Model For Single Image To 3D
(2023)
• No Venue
Hong et al.
-
3D-LLM: Injecting The 3D World Into Large Language Models
(2023)
• No Venue
Hong et al.
-
Cogagent: A Visual Language Model For GUI Agents
(2023)
• No Venue
Hong et al.
-
Metagpt: Meta Programming For A Multi-agent Collaborative Framework
(2023)
• Arxiv
• 81 citations
Hong et al.
-
Unnatural Instructions: Tuning Language Models With (almost) No Human Labor
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 60 citations
Honovich et al.
-
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
• 104 citations
Sun et al.
-
Alpha-clip: A CLIP Model Focusing On Wherever You Want
(2023)
• No Venue
Sun et al.
-
Learning Vector-quantized Item Representation For Transferable Sequential Recommenders
(2023)
• Proceedings of the ACM Web Conference 2023
• 87 citations
Hou et al.
-
Tool Documentation Enables Zero-shot Tool-usage With Large Language Models
(2023)
• No Venue
Hsieh et al.
-
Distilling Step-by-step! Outperforming Larger Language Models With Less Training Data And Smaller Model Sizes
(2023)
• Findings of the Association for Computational Linguistics: ACL 2023
• 127 citations
Hsieh et al.
-
Lorahub: Efficient Cross-task Generalization Via Dynamic Lora Composition
(2023)
• No Venue
Huang et al.
-
Llm-adapters: An Adapter Family For Parameter-efficient Fine-tuning Of Large Language Models
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 109 citations
Hu et al.
-
Opportunities And Challenges Of Chatgpt For Design Knowledge Management
(2023)
• Procedia CIRP
• 67 citations
Hu et al.
-
3D-GPT: Procedural 3D Modeling With Large Language Models
(2023)
• No Venue
Sun et al.
-
All In One: Multi-task Prompting For Graph Neural Networks
(2023)
• Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• 89 citations
Sun et al.
-
Large Language Models Cannot Self-correct Reasoning Yet
(2023)
• No Venue
Huang et al.
-
Language Is Not All You Need: Aligning Perception With Language Models
(2023)
• Arxiv
• 139 citations
Huang et al.
-
Chatgpt For Shaping The Future Of Dentistry: The Potential Of Multi-modal Large Language Model
(2023)
• International Journal of Oral Science
• 188 citations
Huang et al.
-
C-eval: A Multi-level Multi-discipline Chinese Evaluation Suite For Foundation Models
(2023)
• Arxiv
• 57 citations
Huang et al.
-
Towards Reasoning In Large Language Models: A Survey
(2023)
• Findings of the Association for Computational Linguistics: ACL 2023
• 223 citations
Jie Huang, Kevin Chen-Chuan Chang
-
Segment And Caption Anything
(2023)
• No Venue
Huang et al.
-
Cognitive Architectures For Language Agents
(2023)
• Arxiv
• 43 citations
Sumers et al.
-
Perception, Performance, And Detectability Of Conversational Artificial Intelligence Across 32 University Courses
(2023)
• Scientific Reports
• 100 citations
Ibrahim et al.
-
Mathprompter: Mathematical Reasoning Using Large Language Models
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
• 78 citations
Shima Imani, Liang Du, Harsh Shrivastava
-
Sorted Llama: Unlocking The Potential Of Intermediate Layers Of Large Language Models For Dynamic Inference Using Sorted Fine-tuning (soft)
(2023)
• No Venue
Kavehzadeh et al.
-
Camels In A Changing Climate: Enhancing LM Adaptation With Tulu 2
(2023)
• No Venue
Ivison et al.
-
14 Examples Of How Llms Can Transform Materials Science And Chemistry: A Reflection On A Large Language Model Hackathon
(2023)
• Digital Discovery
• 149 citations
Jablonka et al.
-
Chatgpt And Software Testing Education: Promises & Perils
(2023)
• 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
• 173 citations
Jalil et al.
-
Co-writing With Opinionated Language Models Affects Users' Views
(2023)
• Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• 146 citations
Jakesch et al.
-
Human Heuristics For Ai-generated Language Are Flawed
(2023)
• Proceedings of the National Academy of Sciences
• 174 citations
Maurice Jakesch, Jeffrey Hancock, Mor Naaman
-
Consistency Analysis Of Chatgpt
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 40 citations
Myeongjun Erik Jang, Thomas Lukasiewicz
-
A Study On The Implementation Of Generative AI Services Using An Enterprise Data-based LLM Application Architecture
(2023)
• Advances in Artificial Intelligence and Machine Learning
• 42 citations
Cheonsu Jeong
-
VMC: Video Motion Customization Using Temporal Attention Adaption For Text-to-video Diffusion Models
(2023)
• No Venue
Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
-
Practical And Ethical Challenges Of Large Language Models In Education: A Systematic Scoping Review
(2023)
• British Journal of Educational Technology
• 362 citations
Yan et al.
-
LARP: Language-agent Role Play For Open-world Games
(2023)
• No Venue
Yan et al.
-
TEAL: Tokenize And Embed ALL For Multi-modal Large Language Models
(2023)
• No Venue
Yang et al.
-
Active Retrieval Augmented Generation
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 135 citations
Jiang et al.
-
Graphologue: Exploring Large Language Model Responses With Interactive Diagrams
(2023)
• Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
• 66 citations
Jiang et al.
-
Llm-blender: Ensembling Large Language Models With Pairwise Ranking And Generative Fusion
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 49 citations
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
-
Structgpt: A General Framework For Large Language Model To Reason Over Structured Data
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 80 citations
Jiang et al.
-
Motiongpt: Human Motion As A Foreign Language
(2023)
• No Venue
Jiang et al.
-
Scedit: Efficient And Controllable Image Diffusion Generation Via Skip Connection Editing
(2023)
• No Venue
Jiang et al.
-
Segment Everything Everywhere All At Once
(2023)
• Arxiv
• 143 citations
Zou et al.
-
The Multimodal Sentiment Analysis In Car Reviews (muse-car) Dataset: Collection, Insights And Improvements
(2023)
• IEEE Transactions on Affective Computing
• 56 citations
Stappen et al.
-
Pandagpt: One Model To Instruction-follow Them All
(2023)
• Arxiv
• 45 citations
Su et al.
-
One Embedder, Any Task: Instruction-finetuned Text Embeddings
(2023)
• Findings of the Association for Computational Linguistics: ACL 2023
• 59 citations
Su et al.
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Roformer: Enhanced Transformer With Rotary Position Embedding
(2023)
• Neurocomputing
• 604 citations
Su et al.
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Fact: Factor-tuning For Lightweight Adaptation On Vision Transformer
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 54 citations
Shibo Jie, Zhi-Hong Deng
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Inferfix: End-to-end Program Repair With Llms
(2023)
• Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
• 77 citations
Jin et al.
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Time-llm: Time Series Forecasting By Reprogramming Large Language Models
(2023)
• Arxiv
• 84 citations
Jin et al.
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Repair Is Nearly Generation: Multilingual Program Repair With Llms
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 59 citations
Joshi et al.
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Challenges And Applications Of Large Language Models
(2023)
• No Venue
Kaddour et al.
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Evaluating Embedding Apis For Information Retrieval
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 53 citations
Kamalloo et al.
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A Survey Of GPT-3 Family Large Language Models Including Chatgpt And GPT-4
(2023)
• Natural Language Processing Journal
• 162 citations
Katikapalli Subramanyam Kalyan
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Dall-e-bot: Introducing Web-scale Diffusion Models To Robotics
(2023)
• IEEE Robotics and Automation Letters
• 46 citations
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
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Large Language Models Are Few-shot Testers: Exploring Llm-based General Bug Reproduction
(2023)
• 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
• 94 citations
Sungmin Kang, Juyeon Yoon, Shin Yoo
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Scaling Up Gans For Text-to-image Synthesis
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 244 citations
Kang et al.
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Tablegpt: Towards Unifying Tables, Nature Language And Commands Into One GPT
(2023)
• No Venue
Zha et al.
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In Conversation With Artificial Intelligence: Aligning Language Models With Human Values
(2023)
• Philosophy & Technology
• 81 citations
Atoosa Kasirzadeh, Iason Gabriel
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Decoding Chatgpt: A Taxonomy Of Existing Research, Current Challenges, And Possible Future Directions
(2023)
• Journal of King Saud University - Computer and Information Sciences
• 112 citations
Sohail et al.
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How Novices Use Llm-based Code Generators To Solve CS1 Coding Tasks In A Self-paced Learning Environment
(2023)
• Proceedings of the 23rd Koli Calling International Conference on Computing Education Research
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Kazemitabaar et al.
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LERF: Language Embedded Radiance Fields
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 128 citations
Kerr et al.
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Text2video-zero: Text-to-image Diffusion Models Are Zero-shot Video Generators
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 174 citations
Khachatryan et al.
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Will Chatgpt Get You Caught? Rethinking Of Plagiarism Detection
(2023)
• Arxiv
• 198 citations
Mohammad Khalil, Erkan Er
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Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
(2023)
• No Venue
Khandelwal et al.
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Slime: Segment Like Me
(2023)
• No Venue
Khani et al.
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Dspy: Compiling Declarative Language Model Calls Into Self-improving Pipelines
(2023)
• No Venue
Khattab et al.
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Maple: Multi-modal Prompt Learning
(2023)
• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• 360 citations
Khattak et al.
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How Secure Is Code Generated By Chatgpt?
(2023)
• 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
• 65 citations
Khoury et al.
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SODA: Million-scale Dialogue Distillation With Social Commonsense Contextualization
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 48 citations
Kim et al.
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Collaborative Score Distillation For Consistent Visual Synthesis
(2023)
• No Venue
Kim et al.
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Language Models Can Solve Computer Tasks
(2023)
• Arxiv
• 60 citations
Geunwoo Kim, Pierre Baldi, Stephen McAleer
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Dense Text-to-image Generation With Attention Modulation
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
• 48 citations
Kim et al.
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FLAME: Free-form Language-based Motion Synthesis & Editing
(2023)
• Proceedings of the AAAI Conference on Artificial Intelligence
• 67 citations
Jihoon Kim, Jiseob Kim, Sungjoon Choi
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Accelerating LLM Inference With Staged Speculative Decoding
(2023)
• No Venue
Benjamin Spector, Chris Re
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SOLAR 10.7B: Scaling Large Language Models With Simple Yet Effective Depth Up-scaling
(2023)
• No Venue
Kim et al.
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Text Classification Via Large Language Models
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 92 citations
Sun et al.
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A Watermark For Large Language Models
(2023)
• Arxiv
• 103 citations
Kirchenbauer et al.
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Large Language Models Are Temporal And Causal Reasoners For Video Question Answering
(2023)
• Proceedings of the 28th International Conference on Intelligent User Interfaces
• 108 citations
Ko et al.
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Chatgpt: Jack Of All Trades, Master Of None
(2023)
• Information Fusion
• 438 citations
Kocoń et al.
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Large Language Models Are State-of-the-art Evaluators Of Translation Quality
(2023)
• Arxiv
• 90 citations
Tom Kocmi, Christian Federmann
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Videopoet: A Large Language Model For Zero-shot Video Generation
(2023)
• No Venue
Kondratyuk et al.
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Vera: Vector-based Random Matrix Adaptation
(2023)
• No Venue
Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki Markus Asano
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Gender Bias And Stereotypes In Large Language Models
(2023)
• Proceedings of The ACM Collective Intelligence Conference
• 176 citations
Hadas Kotek, Rikker Dockum, David Q. Sun
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MADLAD-400: A Multilingual And Document-level Large Audited Dataset
(2023)
• No Venue
Kudugunta et al.
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A Survey On Knowledge-enhanced Pre-trained Language Models
(2023)
• IEEE Transactions on Knowledge and Data Engineering
• 75 citations
Zhen et al.
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Efficient Memory Management For Large Language Model Serving With Pagedattention
(2023)
• No Venue
Kwon et al.
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Openassistant Conversations -- Democratizing Large Language Model Alignment
(2023)
• Arxiv
• 85 citations
Köpf et al.
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A Systematic Study And Comprehensive Evaluation Of Chatgpt On Benchmark Datasets
(2023)
• Findings of the Association for Computational Linguistics: ACL 2023
• 59 citations
Laskar et al.
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Relax: Composable Abstractions For End-to-end Dynamic Machine Learning
(2023)
• No Venue
Lai et al.
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Chatgpt Beyond English: Towards A Comprehensive Evaluation Of Large Language Models In Multilingual Learning
(2023)
• Findings of the Association for Computational Linguistics: EMNLP 2023
• 121 citations
Lai et al.
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Rankt5: Fine-tuning T5 For Text Ranking With Ranking Losses
(2023)
• Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Zhuang et al.
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Evaluation Of Chatgpt For Nlp-based Mental Health Applications
(2023)
• Arxiv
• 40 citations
Bishal Lamichhane
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Measuring Faithfulness In Chain-of-thought Reasoning
(2023)
• No Venue
Lanham et al.
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Can Chatgpt Write A Good Boolean Query For Systematic Review Literature Search?
(2023)
• Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
• 148 citations
Wang et al.
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Imagereward: Learning And Evaluating Human Preferences For Text-to-image Generation
(2023)
• Arxiv
• 57 citations
Xu et al.
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OBELICS: An Open Web-scale Filtered Dataset Of Interleaved Image-text Documents
(2023)
• No Venue
Laurençon et al.
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The Bigscience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
(2023)
• Arxiv
• 55 citations
Laurençon et al.
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Lemur: Harmonizing Natural Language And Code For Language Agents
(2023)
• No Venue
Xu et al.
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RLAIF: Scaling Reinforcement Learning From Human Feedback With AI Feedback
(2023)
• No Venue
Lee et al.
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Platypus: Quick, Cheap, And Powerful Refinement Of Llms
(2023)
• No Venue
Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz
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Hierspeech++: Bridging The Gap Between Semantic And Acoustic Representation Of Speech By Hierarchical Variational Inference For Zero-shot Speech Synthesis
(2023)
• No Venue
Lee et al.
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Emotional Intelligence Of Large Language Models
(2023)
• Journal of Pacific Rim Psychology
• 56 citations
Wang et al.
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DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
(2023)
• No Venue
Xu et al.
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Using Large Language Models To Enhance Programming Error Messages
(2023)
• Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1
• 160 citations
Leinonen et al.
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A Paradigm Shift In Machine Translation: Boosting Translation Performance Of Large Language Models
(2023)
• No Venue
Xu et al.
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Ufogen: You Forward Once Large Scale Text-to-image Generation Via Diffusion Gans
(2023)
• No Venue
Xu et al.
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Mental-llm: Leveraging Large Language Models For Mental Health Prediction Via Online Text Data
(2023)
• Arxiv
• 44 citations
Xu et al.
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Versatile Diffusion: Text, Images And Variations All In One Diffusion Model
(2023)
• 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Xu et al.
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Transpolymer: A Transformer-based Language Model For Polymer Property Predictions
(2023)
• npj Computational Materials
• 111 citations
Changwen Xu, Yuyang Wang, Amir Barati Farimani
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Wizardlm: Empowering Large Pre-trained Language Models To Follow Complex Instructions
(2023)
• Arxiv
• 85 citations
Xu et al.
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Codet5+: Open Code Large Language Models For Code Understanding And Generation
(2023)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• 158 citations
Wang et al.
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Qa-lora: Quantization-aware Low-rank Adaptation Of Large Language Models
(2023)
• No Venue
Xu et al.
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Do We Still Need Clinical Language Models?
(2023)
• Arxiv
• 40 citations
Lehman et al.
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Jailbroken: How Does LLM Safety Training Fail?
(2023)
• Arxiv
• 55 citations
Alexander Wei, Nika Haghtalab, Jacob Steinhardt
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Revealing Single Frame Bias For Video-and-language Learning
(2023)
• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 51 citations
Jie Lei, Tamara L. Berg, Mohit Bansal
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Bitnet: Scaling 1-bit Transformers For Large Language Models
(2023)
• No Venue
Wang et al.
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Cogvlm: Visual Expert For Pretrained Language Models
(2023)
• No Venue
Wang et al.
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Docllm: A Layout-aware Generative Language Model For Multimodal Document Understanding
(2023)
• No Venue
Wang et al.
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Improving Open Language Models By Learning From Organic Interactions
(2023)
• Journal of Computer Science and Technology
• 55 citations
Xu et al.
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Dream3d: Zero-shot Text-to-3d Synthesis Using 3D Shape Prior And Text-to-image Diffusion Models
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• 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Xu et al.
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Lifting The Curse Of Multilinguality By Pre-training Modular Transformers
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• Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Pfeiffer et al.
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Ernie-layout: Layout Knowledge Enhanced Pre-training For Visually-rich Document Understanding
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• Findings of the Association for Computational Linguistics: EMNLP 2022
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Peng et al.
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CEM: Commonsense-aware Empathetic Response Generation
(2022)
• Proceedings of the AAAI Conference on Artificial Intelligence
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Sahand Sabour, Chujie Zheng, Minlie Huang
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Large-scale Chemical Language Representations Capture Molecular Structure And Properties
(2022)
• Nature Machine Intelligence
• 264 citations
Ross et al.
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Vit5: Pretrained Text-to-text Transformer For Vietnamese Language Generation
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• Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
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Phan et al.
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Multi-modal Answer Validation For Knowledge-based VQA
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• Proceedings of the AAAI Conference on Artificial Intelligence
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Wu et al.
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Language Models Of Code Are Few-shot Commonsense Learners
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• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Madaan et al.
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Memory-assisted Prompt Editing To Improve GPT-3 After Deployment
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• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Madaan et al.
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Data Contamination: From Memorization To Exploitation
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
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Inbal Magar, Roy Schwartz
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Post-hoc Interpretability For Neural NLP: A Survey
(2022)
• ACM Computing Surveys
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Andreas Madsen, Siva Reddy, Sarath Chandar
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Flipda: Effective And Robust Data Augmentation For Few-shot Learning
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Zhou et al.
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Competition-level Code Generation With Alphacode
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• Science
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Li et al.
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A Comparative Study Of Pretrained Language Models For Long Clinical Text
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• Journal of the American Medical Informatics Association
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Li et al.
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Clinical-longformer And Clinical-bigbird: Transformers For Long Clinical Sequences
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• Arxiv
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Li et al.
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Diffusion-lm Improves Controllable Text Generation
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• Arxiv
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Li et al.
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Contrast And Generation Make BART A Good Dialogue Emotion Recognizer
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• Proceedings of the AAAI Conference on Artificial Intelligence
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Shimin Li, Hang Yan, Xipeng Qiu
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Mplug: Effective And Efficient Vision-language Learning By Cross-modal Skip-connections
(2022)
• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Li et al.
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Knowledge-enriched Attention Network With Group-wise Semantic For Visual Storytelling
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• Proceedings of the AAAI Conference on Artificial Intelligence
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Li et al.
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A Survey On Retrieval-augmented Text Generation
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• Arxiv
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Li et al.
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Improving Passage Retrieval With Zero-shot Question Generation
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• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Sachan et al.
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Summareranker: A Multi-task Mixture-of-experts Re-ranking Framework For Abstractive Summarization
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Mathieu Ravaut, Shafiq Joty, Nancy F. Chen
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PEER: A Collaborative Language Model
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• Arxiv
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Schick et al.
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Neural Machine Translation For Low-resource Languages: A Survey
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• ACM Computing Surveys
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Ranathunga et al.
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Eider: Empowering Document-level Relation Extraction With Efficient Evidence Extraction And Inference-stage Fusion
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• Findings of the Association for Computational Linguistics: ACL 2022
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Xie et al.
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Evaluating The Text-to-sql Capabilities Of Large Language Models
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• Arxiv
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Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau
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Prompting GPT-3 To Be Reliable
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• Arxiv
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Si et al.
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Scaling Up Models And Data With \(\texttt{t5x}\) And \(\texttt{seqio}\)
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• Arxiv
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On The Use Of BERT For Automated Essay Scoring: Joint Learning Of Multi-scale Essay Representation
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• Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Wang et al.
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FLAVA: A Foundational Language And Vision Alignment Model
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• 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Singh et al.
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Structural Persistence In Language Models: Priming As A Window Into Abstract Language Representations
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• Transactions of the Association for Computational Linguistics
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Sinclair et al.
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Fantastic Questions And Where To Find Them: Fairytaleqa -- An Authentic Dataset For Narrative Comprehension
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Xu et al.
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Beyond Goldfish Memory: Long-term Open-domain Conversation
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Jing Xu, Arthur Szlam, Jason Weston
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In-ide Code Generation From Natural Language: Promise And Challenges
(2022)
• ACM Transactions on Software Engineering and Methodology
• 107 citations
Frank F. Xu, Bogdan Vasilescu, Graham Neubig
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Long Time No See! Open-domain Conversation With Long-term Persona Memory
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• Findings of the Association for Computational Linguistics: ACL 2022
• 43 citations
Xu et al.
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MWP-BERT: Numeracy-augmented Pre-training For Math Word Problem Solving
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• Findings of the Association for Computational Linguistics: NAACL 2022
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Robust Speech Recognition Via Large-scale Weak Supervision
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• Arxiv
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Better Together? An Evaluation Of Ai-supported Code Translation
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• 27th International Conference on Intelligent User Interfaces
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Symbolic Knowledge Distillation: From General Language Models To Commonsense Models
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• Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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West et al.
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Test-time Prompt Tuning For Zero-shot Generalization In Vision-language Models
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• Arxiv
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Shu et al.
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Unifiedskg: Unifying And Multi-tasking Structured Knowledge Grounding With Text-to-text Language Models
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• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Xie et al.
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On-device Training Under 256KB Memory
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• Arxiv
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Truthfulqa: Measuring How Models Mimic Human Falsehoods
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• 269 citations
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Video As Conditional Graph Hierarchy For Multi-granular Question Answering
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• Proceedings of the AAAI Conference on Artificial Intelligence
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Xiao et al.
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Reframing Human-ai Collaboration For Generating Free-text Explanations
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• Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Wiegreffe et al.
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Retromae: Pre-training Retrieval-oriented Language Models Via Masked Auto-encoder
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• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Vision-language Pre-training For Multimodal Aspect-based Sentiment Analysis
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Smoothquant: Accurate And Efficient Post-training Quantization For Large Language Models
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• Arxiv
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WANLI: Worker And AI Collaboration For Natural Language Inference Dataset Creation
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• Findings of the Association for Computational Linguistics: EMNLP 2022
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Design Guidelines For Prompt Engineering Text-to-image Generative Models
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• CHI Conference on Human Factors in Computing Systems
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BRIO: Bringing Order To Abstractive Summarization
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Liu et al.
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Compositional Visual Generation With Composable Diffusion Models
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• Lecture Notes in Computer Science
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Liu et al.
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Learning To Recommend Method Names With Global Context
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• 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Few-shot Parameter-efficient Fine-tuning Is Better And Cheaper Than In-context Learning
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• Arxiv
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Generated Knowledge Prompting For Commonsense Reasoning
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Perturbation Augmentation For Fairer NLP
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• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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COLD Decoding: Energy-based Constrained Text Generation With Langevin Dynamics
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• Arxiv
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Large Pre-trained Language Models Contain Human-like Biases Of What Is Right And Wrong To Do
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• Nature Machine Intelligence
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Synchromesh: Reliable Code Generation From Pre-trained Language Models
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• Arxiv
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Recommending Metamodel Concepts During Modeling Activities With Pre-trained Language Models
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• Software and Systems Modeling
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Martin Weyssow, Houari Sahraoui, Eugene Syriani
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Coditt5: Pretraining For Source Code And Natural Language Editing
(2022)
• Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
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A Recipe For Arbitrary Text Style Transfer With Large Language Models
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
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• Arxiv
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Controllable Natural Language Generation With Contrastive Prefixes
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• Findings of the Association for Computational Linguistics: ACL 2022
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Language Modeling Via Stochastic Processes
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• Arxiv
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Image Captioning For Effective Use Of Language Models In Knowledge-based Visual Question Answering
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• Expert Systems with Applications
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Structured Pruning Learns Compact And Accurate Models
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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RASAT: Integrating Relational Structures Into Pretrained Seq2seq Model For Text-to-sql
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• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Text Is NOT Enough: Integrating Visual Impressions Into Open-domain Dialogue Generation
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• ACM Computing Surveys
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Data Augmentation For Intent Classification With Off-the-shelf Large Language Models
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• Proceedings of the 4th Workshop on NLP for Conversational AI
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Incorporating Dynamic Semantics Into Pre-trained Language Model For Aspect-based Sentiment Analysis
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• Findings of the Association for Computational Linguistics: ACL 2022
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Automatic Short Math Answer Grading Via In-context Meta-learning
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• Arxiv
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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OPT: Open Pre-trained Transformer Language Models
(2022)
• Arxiv
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Active Example Selection For In-context Learning
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Cutting Down On Prompts And Parameters: Simple Few-shot Learning With Language Models
(2022)
• Findings of the Association for Computational Linguistics: ACL 2022
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Learn To Explain: Multimodal Reasoning Via Thought Chains For Science Question Answering
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• Arxiv
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Neurologic A*esque Decoding: Constrained Text Generation With Lookahead Heuristics
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• Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Unified Structure Generation For Universal Information Extraction
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• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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• Arxiv
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Paragraph-level Rationale Extraction Through Regularization: A Case Study On European Court Of Human Rights Cases
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Speechstew: Simply Mix All Available Speech Recognition Data To Train One Large Neural Network
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Teaching Tech To Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum And Development Tools
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Finqa: A Dataset Of Numerical Reasoning Over Financial Data
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Evaluating Large Language Models Trained On Code
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Dialogsum: A Real-life Scenario Dialogue Summarization Dataset
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Transformer-based Language Model Fine-tuning Methods For COVID-19 Fake News Detection
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Improving Computational Efficiency In Visual Reinforcement Learning Via Stored Embeddings
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Structure-aware Abstractive Conversation Summarization Via Discourse And Action Graphs
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Deltalm: Encoder-decoder Pre-training For Language Generation And Translation By Augmenting Pretrained Multilingual Encoders
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Recipes For Building An Open-domain Chatbot
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Exploiting Cloze Questions For Few Shot Text Classification And Natural Language Inference
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T-NER: An All-round Python Library For Transformer-based Named Entity Recognition
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ERNIE-M: Enhanced Multilingual Representation By Aligning Cross-lingual Semantics With Monolingual Corpora
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Fine-tuning Pre-trained Language Model With Weak Supervision: A Contrastive-regularized Self-training Approach
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Infoxlm: An Information-theoretic Framework For Cross-lingual Language Model Pre-training
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MT6: Multilingual Pretrained Text-to-text Transformer With Translation Pairs
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Ssmix: Saliency-based Span Mixup For Text Classification
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Melbert: Metaphor Detection Via Contextualized Late Interaction Using Metaphorical Identification Theories
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All Bark And No Bite: Rogue Dimensions In Transformer Language Models Obscure Representational Quality
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SPLAT: Speech-language Joint Pre-training For Spoken Language Understanding
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Mind The Style Of Text! Adversarial And Backdoor Attacks Based On Text Style Transfer
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Training Verifiers To Solve Math Word Problems
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Docnli: A Large-scale Dataset For Document-level Natural Language Inference
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Neural Machine Translating From Natural Language To SPARQL
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AMBERT: A Pre-trained Language Model With Multi-grained Tokenization
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TAT-QA: A Question Answering Benchmark On A Hybrid Of Tabular And Textual Content In Finance
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Simple Is Not Easy: A Simple Strong Baseline For Textvqa And Textcaps
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Crossfit: A Few-shot Learning Challenge For Cross-task Generalization In NLP
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Bob: BERT Over BERT For Training Persona-based Dialogue Models From Limited Personalized Data
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Sequence-to-sequence Learning As Beam-search Optimization
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Achieving Open Vocabulary Neural Machine Translation With Hybrid Word-character Models
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• Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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