HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

By Haochun Wang, Chi-Liang Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu. arXiv.org, 2023

297 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/302ee27524a717ddc21f332ca634b9211c6ec6aa

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In Artificial Intelligence

  1. Jianfeng Gao
  2. Chunyuan Li
  3. Dacheng Tao
  4. Jianwei Yang
  5. Haotian Liu
  6. Zhe Gan
  7. Can Xu
  8. Tianyi Zhou

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