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Large language models (LLMs) have performed remarkably well in various natural language processing tasks by benchmarking, including in the Western medical domain. However, the professional evaluation benchmarks for LLMs have yet to be…

Computation and Language · Computer Science 2024-06-04 Wenjing Yue , Xiaoling Wang , Wei Zhu , Ming Guan , Huanran Zheng , Pengfei Wang , Changzhi Sun , Xin Ma

Large language models (LLMs) excel in various NLP tasks and modern medicine, but their evaluation in traditional Chinese medicine (TCM) is underexplored. To address this, we introduce TCM3CEval, a benchmark assessing LLMs in TCM across…

Computation and Language · Computer Science 2025-03-11 Tianai Huang , Lu Lu , Jiayuan Chen , Lihao Liu , Junjun He , Yuping Zhao , Wenchao Tang , Jie Xu

Traditional Chinese Medicine (TCM), as an effective alternative medicine, has been receiving increasing attention. In recent years, the rapid development of large language models (LLMs) tailored for TCM has highlighted the urgent need for…

Computation and Language · Computer Science 2025-10-28 Jiacheng Xie , Yang Yu , Ziyang Zhang , Shuai Zeng , Jiaxuan He , Ayush Vasireddy , Xiaoting Tang , Congyu Guo , Lening Zhao , Congcong Jing , Guanghui An , Dong Xu

Large language models (LLMs) have demonstrated exceptional capabilities in general domains, yet their application in highly specialized and culturally-rich fields like Traditional Chinese Medicine (TCM) requires rigorous and nuanced…

Computation and Language · Computer Science 2025-11-18 Tianai Huang , Jiayuan Chen , Lu Lu , Pengcheng Chen , Tianbin Li , Bing Han , Wenchao Tang , Jie Xu , Ming Li

Traditional Chinese Medicine (TCM) is a holistic medical system with millennia of accumulated clinical experience, playing a vital role in global healthcare-particularly across East Asia. However, the implicit reasoning, diverse textual…

Computation and Language · Computer Science 2025-06-03 Shufeng Kong , Xingru Yang , Yuanyuan Wei , Zijie Wang , Hao Tang , Jiuqi Qin , Shuting Lan , Yingheng Wang , Junwen Bai , Zhuangbin Chen , Zibin Zheng , Caihua Liu , Hao Liang

The recently unprecedented advancements in Large Language Models (LLMs) have propelled the medical community by establishing advanced medical-domain models. However, due to the limited collection of medical datasets, there are only a few…

Computation and Language · Computer Science 2024-06-10 Ping Yu , Kaitao Song , Fengchen He , Ming Chen , Jianfeng Lu

Natural medicines, particularly Traditional Chinese Medicine (TCM), are gaining global recognition for their therapeutic potential in addressing human symptoms and diseases. TCM, with its systematic theories and extensive practical…

Computation and Language · Computer Science 2025-05-20 Zhi Liu , Tao Yang , Jing Wang , Yexin Chen , Zhan Gao , Jiaxi Yang , Kui Chen , Bingji Lu , Xiaochen Li , Changyong Luo , Yan Li , Xiaohong Gu , Peng Cao

The surge of large language models (LLMs) has driven significant progress in medical applications, including traditional Chinese medicine (TCM). However, current medical LLMs struggle with TCM diagnosis and syndrome differentiation due to…

Computation and Language · Computer Science 2025-10-01 Sibo Wei , Xueping Peng , Yi-Fei Wang , Tao Shen , Jiasheng Si , Weiyu Zhang , Fa Zhu , Athanasios V. Vasilakos , Wenpeng Lu , Xiaoming Wu , Yinglong Wang

Large Language Models (LLMs) provide a possibility to make a great breakthrough in medicine. The establishment of a standardized medical benchmark becomes a fundamental cornerstone to measure progression. However, medical environments in…

Computation and Language · Computer Science 2024-04-05 Xidong Wang , Guiming Hardy Chen , Dingjie Song , Zhiyi Zhang , Zhihong Chen , Qingying Xiao , Feng Jiang , Jianquan Li , Xiang Wan , Benyou Wang , Haizhou Li

Large language models (LLMs) are advancing rapidly in medical NLP, yet Traditional Chinese Medicine (TCM) with its distinctive ontology, terminology, and reasoning patterns requires domain-faithful evaluation. Existing TCM benchmarks are…

Despite the success of large language models (LLMs) in various domains, their potential in Traditional Chinese Medicine (TCM) remains largely underexplored due to two critical barriers: (1) the scarcity of high-quality TCM data and (2) the…

Computation and Language · Computer Science 2025-08-21 Junying Chen , Zhenyang Cai , Zhiheng Liu , Yunjin Yang , Rongsheng Wang , Qingying Xiao , Xiangyi Feng , Zhan Su , Jing Guo , Xiang Wan , Guangjun Yu , Haizhou Li , Benyou Wang

Large Language Models (LLMs) has made significant progress in a number of professional fields, including medicine, law, and finance. However, in traditional Chinese medicine (TCM), there are challenges such as the essential differences…

Computation and Language · Computer Science 2024-06-25 Heyi Zhang , Xin Wang , Zhaopeng Meng , Zhe Chen , Pengwei Zhuang , Yongzhe Jia , Dawei Xu , Wenbin Guo

The emergence of Large Language Models (LLMs) within the Traditional Chinese Medicine (TCM) domain presents an urgent need to assess their clinical application capabilities. However, such evaluations are challenged by the individualized,…

Computation and Language · Computer Science 2025-12-03 Kunning Li , Jianbin Guo , Zhaoyang Shang , Yiqing Liu , Hongmin Du , Lingling Liu , Yuping Zhao , Lifeng Dong

This paper explores the application of prompt engineering to enhance the performance of large language models (LLMs) in the domain of Traditional Chinese Medicine (TCM). We propose TCM-Prompt, a framework that integrates various pre-trained…

Computation and Language · Computer Science 2024-10-28 Yirui Chen , Qinyu Xiao , Jia Yi , Jing Chen , Mengyang Wang

The emergence of various medical large language models (LLMs) in the medical domain has highlighted the need for unified evaluation standards, as manual evaluation of LLMs proves to be time-consuming and labor-intensive. To address this…

Computation and Language · Computer Science 2023-12-21 Yan Cai , Linlin Wang , Ye Wang , Gerard de Melo , Ya Zhang , Yanfeng Wang , Liang He

Traditional Chinese Medicine (TCM), with a history spanning over two millennia, plays a role in global healthcare. However, applying large language models (LLMs) to TCM remains challenging due to its reliance on holistic reasoning, implicit…

Computation and Language · Computer Science 2025-10-21 Jiacheng Xie , Yang Yu , Yibo Chen , Hanyao Zhang , Lening Zhao , Jiaxuan He , Lei Jiang , Xiaoting Tang , Guanghui An , Dong Xu

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address…

Computation and Language · Computer Science 2023-10-24 Junling Liu , Peilin Zhou , Yining Hua , Dading Chong , Zhongyu Tian , Andrew Liu , Helin Wang , Chenyu You , Zhenhua Guo , Lei Zhu , Michael Lingzhi Li

Traditional Chinese Medicine (TCM) presents a rich and structurally unique knowledge system that challenges conventional applications of large language models (LLMs). Although previous TCM-specific LLMs have shown progress through…

Computation and Language · Computer Science 2025-10-21 Jiacheng Xie , Shuai Zeng , Yang Yu , Xiaoting Tang , Guanghui An , Dong Xu

With the proliferation of Large Language Models (LLMs) in diverse domains, there is a particular need for unified evaluation standards in clinical medical scenarios, where models need to be examined very thoroughly. We present CliMedBench,…

Computation and Language · Computer Science 2024-10-07 Zetian Ouyang , Yishuai Qiu , Linlin Wang , Gerard de Melo , Ya Zhang , Yanfeng Wang , Liang He

Large Language Models (LLMs) have introduced a new era of proficiency in comprehending complex healthcare and biomedical topics. However, there is a noticeable lack of models in languages other than English and models that can interpret…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Junling Liu , Ziming Wang , Qichen Ye , Dading Chong , Peilin Zhou , Yining Hua
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