Phobert: Pre-trained Language Models For Vietnamese · Awesome LLM Papers Contribute to LLM-Bible

Awesome LLM Papers

A curated collection of research papers on Large Language Models (LLMs), transformers, prompting, fine-tuning, and multi-modal systems. Maintained by Sean Moran.

Contact Sean Moran about this survey or website. Made with Jekyll and Hyde.

Phobert: Pre-trained Language Models For Vietnamese

Dat Quoc Nguyen, Anh Tuan Nguyen. Findings of the Association for Computational Linguistics: EMNLP 2020 2020 – 207 citations

[Paper] [Code]    
BERT Has Code Model Architecture Applications

We present PhoBERT with two versions, PhoBERT-base and PhoBERT-large, the first public large-scale monolingual language models pre-trained for Vietnamese. Experimental results show that PhoBERT consistently outperforms the recent best pre-trained multilingual model XLM-R (Conneau et al., 2020) and improves the state-of-the-art in multiple Vietnamese-specific NLP tasks including Part-of-speech tagging, Dependency parsing, Named-entity recognition and Natural language inference. We release PhoBERT to facilitate future research and downstream applications for Vietnamese NLP. Our PhoBERT models are available at https://github.com/VinAIResearch/PhoBERT

Similar Work