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[1]Zhang N, Chen M, Bi Z, et al. CBLUE: A Chinese biomedical language understanding evaluation benchmark[C]// Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Dublin: Association for Computational Linguistics, 2022: 7888-7915. DOI: 10.18653/v1/2022.acl-long.544.
[2]Ji Z, Wei Q, Xu H. BERT-based ranking for biomedical entity normalization[J]. AMIA Joint Summits on Translational Science Proceedings, 2020, 2020: 269-277.
[3]韩振桥, 付立军, 刘俊明, 等. 结合RoBERTa与多策略召回的医学术语标准化[J]. 计算机系统应用, 2022, 31(10): 245-253. DOI: 10.15888/j.cnki.csa.008757.
[4]Fan Y, Zhu Y, Xue K, et al. RRNorm: A novel framework for Chinese disease diagnoses normalization via LLM-driven terminology component recognition and reconstruction[C]// Findings of the Association for Computational Linguistics: ACL 2024. Bangkok: Association for Computational Linguistics, 2024: 9162-9175. DOI: 10.18653/v1/2024.findings-acl.544.
[5]Nicholson D N, Greene C S. Constructing knowledge graphs and their biomedical applications[J]. Computational and Structural Biotechnology Journal, 2020, 18: 1414-1428. DOI: 10.1016/j.csbj.2020.05.017.
[6]Fan Y, Xue K, Li Z, et al. An LLM-based framework for biomedical terminology normalization in social media via multi-agent collaboration[C]// Proceedings of the 31st International Conference on Computational Linguistics. Abu Dhabi: Association for Computational Linguistics, 2025: 10712-10726.
[7]Hein D, Christie A, Holcomb M, et al. Iterative refinement and goal articulation to optimize large language models for clinical information extraction[J]. npj Digital Medicine, 2025, 8: 301. DOI: 10.1038/s41746-025-01686-z.
[8]奥德玛, 杨云飞, 穗志方, 等. 中文医学知识图谱CMeKG构建初探[J]. 中文信息学报, 2019, 33(10): 1-9.
[9]邢倩, 何达. 医疗大语言模型的评价现状及思考[J]. 健康发展与政策研究, 2025, 28(1): 65-72. DOI: 10.12458/HDPR.202407099.

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