Jan. 31, 2024, 4:41 p.m. | Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang

cs.CL updates on arXiv.org arxiv.org

$\textbf{Objectives}$: Large Language Models (LLMs) such as ChatGPT and
Med-PaLM have excelled in various medical question-answering tasks. However,
these English-centric models encounter challenges in non-English clinical
settings, primarily due to limited clinical knowledge in respective languages,
a consequence of imbalanced training corpora. We systematically evaluate LLMs
in the Chinese medical context and develop a novel in-context learning
framework to enhance their performance.


$\textbf{Materials and Methods}$: The latest China National Medical Licensing
Examination (CNMLE-2022) served as the benchmark. We collected 53 …

arxiv beyond challenges chatgpt clinical cs.cl english insight knowledge language language models languages large language large language models llms medical med-palm palm question tasks training

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