PhoBERT: Pre-trained language models for Vietnamese
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Abstract (arXiv)
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
Key facts. Cited by 148 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Mar 2020.
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Citing papers per year: 2021: 29; 2022: 22; 2023: 23; 2024: 31; 2025: 22; 2026: 21.
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