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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

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) 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

In this study, we introduce CT-LLM, a 2B large language model (LLM) that illustrates a pivotal shift towards prioritizing the Chinese language in developing LLMs. Uniquely initiated from scratch, CT-LLM diverges from the conventional…

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

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

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 practice of Traditional Chinese Medicine (TCM) requires profound expertise and extensive clinical experience. While Large Language Models (LLMs) offer significant potential in this domain, current TCM-oriented LLMs suffer two critical…

Computation and Language · Computer Science 2026-01-21 Yehan Yang , Tianhao Ma , Ruotai Li , Xinhan Zheng , Guodong Shan

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

The current generation of large language models (LLMs) is typically designed for broad, general-purpose applications, while domain-specific LLMs, especially in vertical fields like medicine, remain relatively scarce. In particular, the…

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

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

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

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

Although large language models perform well in understanding and responding to user intent, their performance in specialized domains such as Traditional Chinese Medicine (TCM) remains limited due to lack of expertise. In addition,…

Computation and Language · Computer Science 2024-11-05 Song Yu , Xiaofei Xu , Fangfei Xu , Li Li

Traditional Chinese Medicine (TCM) is a natural, safe, and effective therapy that has spread and been applied worldwide. The unique TCM diagnosis and treatment system requires a comprehensive analysis of a patient's symptoms hidden in the…

Computation and Language · Computer Science 2022-08-04 Mucheng Ren , Heyan Huang , Yuxiang Zhou , Qianwen Cao , Yuan Bu , Yang Gao

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 exhibit promising general capabilities but often lack specialized knowledge for domain-specific tasks. Developing domain experts from a base model enables a range of applications without prohibitive training costs.…

Computation and Language · Computer Science 2023-11-02 Zhen Guo , Yining Hua

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
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