HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
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Abstract (arXiv)
Large Language Models (LLMs), such as the LLaMA model, have demonstrated their effectiveness in various general-domain natural language processing (NLP) tasks. Nevertheless, LLMs have not yet performed optimally in biomedical domain tasks due to the need for medical expertise in the responses. In response to this challenge, we propose HuaTuo, a LLaMA-based model that has been supervised-fine-tuned with generated QA (Question-Answer) instances. The experimental results demonstrate that HuaTuo generates responses that possess more reliable medical knowledge. Our proposed HuaTuo model is accessible at https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese.
Key facts. Cited by 161 papers in the map (data through 7 Oct 2026). Builds on 7 of its 13 references that are in the map. First posted on arXiv 14 Apr 2023.
Builds on
7 of 13 references.
References · 7
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Citing papers per year: 2023: 52; 2024: 60; 2025: 37; 2026: 12.
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