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HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

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arxiv 2304.06975 v1 pith:34JNGH5O submitted 2023-04-14 cs.CL

Haochun Wang , Chi Liu , Nuwa Xi , Zewen Qiang , Sendong Zhao , Bing Qin , Ting Liu This is my paper
classification cs.CL
keywords huatuomodelmedicalknowledgelanguagellamallmsresponses
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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.

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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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