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相关论文: TCMBench: A Comprehensive Benchmark for Evaluating…

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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 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…

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…

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…

计算与语言 · 计算机科学 2023-12-21 Yan Cai , Linlin Wang , Ye Wang , Gerard de Melo , Ya Zhang , Yanfeng Wang , Liang He

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) 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…

计算与语言 · 计算机科学 2025-11-18 Tianai Huang , Jiayuan Chen , Lu Lu , Pengcheng Chen , Tianbin Li , Bing Han , Wenchao Tang , Jie Xu , Ming Li

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…

计算与语言 · 计算机科学 2024-06-10 Ping Yu , Kaitao Song , Fengchen He , Ming Chen , Jianfeng Lu

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,…

计算与语言 · 计算机科学 2024-10-07 Zetian Ouyang , Yishuai Qiu , Linlin Wang , Gerard de Melo , Ya Zhang , Yanfeng Wang , Liang He

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…

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…

Recent advancements in Large Language Models (LLMs) have demonstrated their potential in delivering accurate answers to questions about world knowledge. Despite this, existing benchmarks for evaluating LLMs in healthcare predominantly focus…

计算与语言 · 计算机科学 2024-06-18 Zheheng Luo , Chenhan Yuan , Qianqian Xie , Sophia Ananiadou

As the capabilities of large language models (LLMs) continue to advance, evaluating their performance becomes increasingly crucial and challenging. This paper aims to bridge this gap by introducing CMMLU, a comprehensive Chinese benchmark…

计算与语言 · 计算机科学 2024-01-19 Haonan Li , Yixuan Zhang , Fajri Koto , Yifei Yang , Hai Zhao , Yeyun Gong , Nan Duan , Timothy Baldwin

Ensuring the general efficacy and goodness for human beings from medical large language models (LLM) before real-world deployment is crucial. However, a widely accepted and accessible evaluation process for medical LLM, especially in the…

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,…

计算与语言 · 计算机科学 2025-12-03 Kunning Li , Jianbin Guo , Zhaoyang Shang , Yiqing Liu , Hongmin Du , Lingling Liu , Yuping Zhao , Lifeng Dong

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

We present TMMLU+, a new benchmark designed for Traditional Chinese language understanding. TMMLU+ is a multi-choice question-answering dataset with 66 subjects from elementary to professional level. It is six times larger and boasts a more…

计算与语言 · 计算机科学 2024-07-12 Zhi-Rui Tam , Ya-Ting Pai , Yen-Wei Lee , Jun-Da Chen , Wei-Min Chu , Sega Cheng , Hong-Han Shuai

Recent progress in Multimodal Large Language Models (MLLMs) have significantly enhanced the ability of artificial intelligence systems to understand and generate multimodal content. However, these models often exhibit limited effectiveness…

多媒体 · 计算机科学 2025-12-03 Pengju Xu , Yan Wang , Shuyuan Zhang , Xuan Zhou , Xin Li , Yue Yuan , Fengzhao Li , Shunyuan Zhou , Xingyu Wang , Yi Zhang , Haiying Zhao

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

Large language models (LLMs) have shown significant promise across various medical applications, with ophthalmology being a notable area of focus. Many ophthalmic tasks have shown substantial improvement through the integration of LLMs.…

计算与语言 · 计算机科学 2025-02-04 Chengfeng Zhou , Ji Wang , Juanjuan Qin , Yining Wang , Ling Sun , Weiwei Dai

With the rapid development of large language models (LLMs), assessing their performance on health-related inquiries has become increasingly essential. The use of these models in real-world contexts-where misinformation can lead to serious…

计算与语言 · 计算机科学 2025-02-24 Chenlu Guo , Nuo Xu , Yi Chang , Yuan Wu
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