HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

Abstract

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.

Nuwa Xi

Graduate Student

Hi there. This is Nova 😊, currently a master at HIT-SCIR lab. My research interests include Natural Language Processing and its application in science.