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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

Traditional Chinese medicine (TCM) tongue diagnosis, while clinically valuable, faces standardization challenges due to subjective interpretation and inconsistent imaging protocols, compounded by the lack of large-scale, annotated datasets…

Image and Video Processing · Electrical Eng. & Systems 2025-07-25 Xuebo Jin , Longfei Gao , Anshuo Tong , Zhengyang Chen , Jianlei Kong , Ning Sun , Huijun Ma , Qiang Wang , Yuting Bai , Tingli Su

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

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

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

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 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

Pre-training and fine-tuning have emerged as a promising paradigm across various natural language processing (NLP) tasks. The effectiveness of pretrained large language models (LLM) has witnessed further enhancement, holding potential for…

Computation and Language · Computer Science 2023-11-06 Guoxing Yang , Jianyu Shi , Zan Wang , Xiaohong Liu , Guangyu Wang

Large Language Models (LLMs) have demonstrated remarkable capabilities in modern medicine, yet their application in Traditional Chinese Medicine (TCM) remains severely limited by the absence of standardized benchmarks and the scarcity of…

Computation and Language · Computer Science 2025-12-29 Zihao Cheng , Yuheng Lu , Huaiqian Ye , Zeming Liu , Minqi Wang , Jingjing Liu , Zihan Li , Wei Fan , Yuanfang Guo , Ruiji Fu , Shifeng She , Gang Wang , Yunhong Wang

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

Syndrome differentiation in Traditional Chinese Medicine (TCM) is the process of understanding and reasoning body condition, which is the essential step and premise of effective treatments. However, due to its complexity and lack of…

Machine Learning · Computer Science 2019-01-23 Zeyuan Wang , Josiah Poon , Shiding Sun , Simon Poon

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

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…

Objective: The efficacy of traditional Chinese medicine (TCM) treatments for Western medicine (WM) diseases relies heavily on the proper classification of patients into TCM syndrome types. We develop a data-driven method for solving the…

Machine Learning · Computer Science 2016-02-25 Nevin L. Zhang , Chen Fu , Teng Fei Liu , Bao Xin Chen , Kin Man Poon , Pei Xian Chen , Yun Ling Zhang

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

Traditional Chinese Medicine (TCM) represents a rich repository of ancient medical knowledge that continues to play an important role in modern healthcare. Due to the complexity and breadth of the TCM literature, the integration of AI…

Information Retrieval · Computer Science 2025-06-30 Jinglin He , Yunqi Guo , Lai Kwan Lam , Waikei Leung , Lixing He , Yuanan Jiang , Chi Chiu Wang , Guoliang Xing , Hongkai Chen

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

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 diagnosis and treatment principles, established through centuries of trial-and-error clinical practice, directly maps patient-specific symptom patterns to personalised herbal therapies. These empirical holistic…

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