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Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge
March 15, 2024, 4:48 a.m. | Li Yizhen, Huang Shaohan, Qi Jiaxing, Quan Lei, Han Dongran, Luan Zhongzhi
cs.CL updates on arXiv.org arxiv.org
Abstract: No previous work has studied the performance of Large Language Models (LLMs) in the context of Traditional Chinese Medicine (TCM), an essential and distinct branch of medical knowledge with a rich history. To bridge this gap, we present a TCM question dataset named TCM-QA, which comprises three question types: single choice, multiple choice, and true or false, to examine the LLM's capacity for knowledge recall and comprehensive reasoning within the TCM domain. In our study, …
abstract arxiv bridge chatgpt chinese context cs.cl dataset gap history knowledge language language models large language large language models llms medical medicine performance question stat.ap type work
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