This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (157) Natural Language Processing (860) e-Learning and Digital Medical Education (851) Machine Learning (1934) Testing and Assessment in Medical Education (77) mHealth in Medical Education and Training (112) Theme Issue: ChatGPT and Generative Language Models in Medical Education (112)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69485, first published .
Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations

Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations

Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations

Authors of this article:

Zhong Yao1, 2, 3 Author Orcid Image ;   Liantan Duan4 Author Orcid Image ;   Shuo Xu1, 2, 3 Author Orcid Image ;   Lingyi Chi1, 2, 3 Author Orcid Image ;   Dongfang Sheng4 Author Orcid Image
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