@inproceedings{wang-etal-2025-ccl25-evalren,
title = "{CCL}25-Eval任务9总结报告:中医辨证辨病及中药处方生成评测",
author = "Wang, Cong and
Zhao, Zhizhuo and
Li, Yishuo and
Guan, Hongjiao and
Wang, Yifei and
Li, Zhenyu and
Lu, Wenpeng",
editor = "Lin, Hongfei and
Li, Bin and
Tan, Hongye",
booktitle = "Proceedings of the 24th {C}hina National Conference on Computational Linguistics ({CCL} 2025)",
month = aug,
year = "2025",
address = "Jinan, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2025.ccl-2.45/",
pages = "376--386",
abstract = "``中医辨证辨病及中药处方生成评测任务专注于中医{``}辨证论治''。该任务由齐鲁工业大学(山东省科学院)与山东中医药大学附属医院联合发起,基于真实病历构建了中医{``}辨证论治{''}全流程公开数据集TCM-TBOSD,覆盖10类中医证型、4类中医疾病及381种常见中药。评测任务设立两个子任务:中医多标签辨证辨病与中药处方推荐,旨在系统评估大模型在中医诊疗全过程中的建模与推理能力。本次评测收到了学术界与产业界的广泛关注,评测共吸引123支队伍参与,35支队伍晋级复赛,最终提交了8份高质量技术报告。评测结果表明,大语言模型在中医任务中展现出良好的适应性与发展潜力,为中医智能化提供了可行路径与技术参考。详细信息可以从网址查看我们的评测任务。''"
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<abstract>“中医辨证辨病及中药处方生成评测任务专注于中医“辨证论治”。该任务由齐鲁工业大学(山东省科学院)与山东中医药大学附属医院联合发起,基于真实病历构建了中医“辨证论治”全流程公开数据集TCM-TBOSD,覆盖10类中医证型、4类中医疾病及381种常见中药。评测任务设立两个子任务:中医多标签辨证辨病与中药处方推荐,旨在系统评估大模型在中医诊疗全过程中的建模与推理能力。本次评测收到了学术界与产业界的广泛关注,评测共吸引123支队伍参与,35支队伍晋级复赛,最终提交了8份高质量技术报告。评测结果表明,大语言模型在中医任务中展现出良好的适应性与发展潜力,为中医智能化提供了可行路径与技术参考。详细信息可以从网址查看我们的评测任务。”</abstract>
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%0 Conference Proceedings
%T CCL25-Eval任务9总结报告:中医辨证辨病及中药处方生成评测
%A Wang, Cong
%A Zhao, Zhizhuo
%A Li, Yishuo
%A Guan, Hongjiao
%A Wang, Yifei
%A Li, Zhenyu
%A Lu, Wenpeng
%Y Lin, Hongfei
%Y Li, Bin
%Y Tan, Hongye
%S Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
%D 2025
%8 August
%I Chinese Information Processing Society of China
%C Jinan, China
%F wang-etal-2025-ccl25-evalren
%X “中医辨证辨病及中药处方生成评测任务专注于中医“辨证论治”。该任务由齐鲁工业大学(山东省科学院)与山东中医药大学附属医院联合发起,基于真实病历构建了中医“辨证论治”全流程公开数据集TCM-TBOSD,覆盖10类中医证型、4类中医疾病及381种常见中药。评测任务设立两个子任务:中医多标签辨证辨病与中药处方推荐,旨在系统评估大模型在中医诊疗全过程中的建模与推理能力。本次评测收到了学术界与产业界的广泛关注,评测共吸引123支队伍参与,35支队伍晋级复赛,最终提交了8份高质量技术报告。评测结果表明,大语言模型在中医任务中展现出良好的适应性与发展潜力,为中医智能化提供了可行路径与技术参考。详细信息可以从网址查看我们的评测任务。”
%U https://aclanthology.org/2025.ccl-2.45/
%P 376-386
Markdown (Informal)
[CCL25-Eval任务9总结报告:中医辨证辨病及中药处方生成评测](https://aclanthology.org/2025.ccl-2.45/) (Wang et al., CCL 2025)
ACL
- Cong Wang, Zhizhuo Zhao, Yishuo Li, Hongjiao Guan, Yifei Wang, Zhenyu Li, and Wenpeng Lu. 2025. CCL25-Eval任务9总结报告:中医辨证辨病及中药处方生成评测. In Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025), pages 376–386, Jinan, China. Chinese Information Processing Society of China.