XuanHuGPT: parameter-efficient fine-tuning of large language model in the field of traditional Chinese medicine

Abstract Large Language Models (LLMs) have demonstrated exceptional generalization capabilities across various fields, including their application in Traditional Chinese Medicine (TCM). However, the performance of existing LLMs in TCM-specific tasks remains limited due to the lack of optimization fo...

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Autori principali:	Xuming Tong, Xiaozheng Ding, Huiru Jia, Yanhong Yuan, Liyan Liu, Yapeng Wang, Zhang Xiong, Xu Yang, Sio Kei Im, Mini Han Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2025-11-01
Serie:	Chinese Medicine
Soggetti:	Large Language Models Traditional Chinese medicine Parameter-efficient fine-tuning LoRA XuanHuGPT
Accesso online:	https://doi.org/10.1186/s13020-025-01200-3
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