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

At the current level, LLMs trained primarily on English corpora and those trained mainly on Chinese corpora perform similarly well in CNMLE, with Chinese models still outperforming. The performance difference between ChatGPT and other Chinese LLMs are not solely due to communication barriers but are more likely influenced by disparities in the training data. By using a method of cross-verification with multiple LLMs, excellent performance can be achieved in medical examinations.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-06-27
DOI
https://doi.org/10.2196/69485
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
5.89
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article

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

Dongfang Sheng, Lirui Duan, Shuo Xu, Zhong Yao et al.
9 citations
JMIR Medical Informatics
Artificial Intelligence in Healthcare and Education
5.89
article

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

Dongfang Sheng, Lirui Duan, Shuo Xu, Zhong Yao, Lingyi Chi
article en
9 citations

Abstract

At the current level, LLMs trained primarily on English corpora and those trained mainly on Chinese corpora perform similarly well in CNMLE, with Chinese models still outperforming. The performance difference between ChatGPT and other Chinese LLMs are not solely due to communication barriers but are more likely influenced by disparities in the training data. By using a method of cross-verification with multiple LLMs, excellent performance can be achieved in medical examinations.

JMIR Medical InformaticsVol. 13
Shandong University (CN), Shandong Management University (CN), Qilu Hospital of Shandong University (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
Quality Education
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare and Education
5.89
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Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations — Dongfang Sheng, Lirui Duan, et al. · JMIR Medical Informatics (2025) | TGRS Research Map | TGRS