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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…

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…

计算与语言 · 计算机科学 2024-06-04 Wenjing Yue , Xiaoling Wang , Wei Zhu , Ming Guan , Huanran Zheng , Pengfei Wang , Changzhi Sun , Xin Ma

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…

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…

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…

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…

Generative large language models (LLMs) have shown great success in various applications, including question-answering (QA) and dialogue systems. However, in specialized domains like traditional Chinese medical QA, these models may perform…

计算与语言 · 计算机科学 2023-09-06 Yang Tan , Mingchen Li , Zijie Huang , Huiqun Yu , Guisheng Fan

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…

计算与语言 · 计算机科学 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

No previous work has studied the performance of Large Language Models (LLMs) in the context of Traditional Chinese Medicine (TCM), an essential and distinct branch of medical knowledge with a rich history. To bridge this gap, we present a…

计算与语言 · 计算机科学 2024-03-15 Li Yizhen , Huang Shaohan , Qi Jiaxing , Quan Lei , Han Dongran , Luan Zhongzhi

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…

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…

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…

计算与语言 · 计算机科学 2024-10-28 Yirui Chen , Qinyu Xiao , Jia Yi , Jing Chen , Mengyang 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…

计算与语言 · 计算机科学 2024-06-25 Heyi Zhang , Xin Wang , Zhaopeng Meng , Zhe Chen , Pengwei Zhuang , Yongzhe Jia , Dawei Xu , Wenbin Guo

Large Language Models (LLMs) have demonstrated remarkable success in diverse natural language processing (NLP) tasks in general domains. However, LLMs sometimes generate responses with the hallucination about medical facts due to limited…

计算与语言 · 计算机科学 2025-01-14 Haochun Wang , Sendong Zhao , Zewen Qiang , Zijian Li , Nuwa Xi , Yanrui Du , MuZhen Cai , Haoqiang Guo , Yuhan Chen , Haoming Xu , Bing Qin , Ting Liu

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…

计算与语言 · 计算机科学 2025-10-21 Jiacheng Xie , Yang Yu , Yibo Chen , Hanyao Zhang , Lening Zhao , Jiaxuan He , Lei Jiang , Xiaoting Tang , Guanghui An , Dong Xu

The emergence of Large Language Models (LLMs) in the medical domain has stressed a compelling need for standard datasets to evaluate their question-answering (QA) performance. Although there have been several benchmark datasets for medical…

计算与语言 · 计算机科学 2025-03-18 Qian Zhang , Panfeng Chen , Jiali Li , Linkun Feng , Shuyu Liu , Heng Zhao , Mei Chen , Hui Li , Yanhao Wang

Recently, the increasing demand for superior medical services has highlighted the discrepancies in the medical infrastructure. With big data, especially texts, forming the foundation of medical services, there is an exigent need for…

计算与语言 · 计算机科学 2024-07-17 Yuanhe Tian , Ruyi Gan , Yan Song , Jiaxing Zhang , Yongdong Zhang

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…

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…

计算与语言 · 计算机科学 2025-03-11 Tianai Huang , Lu Lu , Jiayuan Chen , Lihao Liu , Junjun He , Yuping Zhao , Wenchao Tang , Jie Xu

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…

计算与语言 · 计算机科学 2022-08-04 Mucheng Ren , Heyan Huang , Yuxiang Zhou , Qianwen Cao , Yuan Bu , Yang Gao
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