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

Tong X, Ding X, Jia H, Yuan Y, Liu L, Wang Y, Xiong Z, Yang X, Im SK, Wang MH

DOI: 10.1186/s13020-025-01200-3
Published: 2025 Nov 26
Container: Chinese medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13020-025-01200-3,
  title = {XuanHuGPT: parameter-efficient fine-tuning of large language model in the field of traditional Chinese medicine.},
  author = {Tong X and Ding X and Jia H and Yuan Y and Liu L and Wang Y and Xiong Z and Yang X and Im SK and Wang MH},
  year = {2025},
  journal = {Chinese medicine},
  doi = {10.1186/s13020-025-01200-3},
  url = {https://doi.org/10.1186/s13020-025-01200-3}
}

RIS

TY  - JOUR
TI  - XuanHuGPT: parameter-efficient fine-tuning of large language model in the field of traditional Chinese medicine.
AU  - Tong X
AU  - Ding X
AU  - Jia H
AU  - Yuan Y
AU  - Liu L
AU  - Wang Y
AU  - Xiong Z
AU  - Yang X
AU  - Im SK
AU  - Wang MH
PY  - 2025
JO  - Chinese medicine
DO  - 10.1186/s13020-025-01200-3
UR  - https://doi.org/10.1186/s13020-025-01200-3
ER  -

APA

X, T., X, D., H, J., Y, Y., L, L., Y, W., Z, X., X, Y., SK, I., & MH, W. (2025). XuanHuGPT: parameter-efficient fine-tuning of large language model in the field of traditional Chinese medicine.. Chinese medicine. https://doi.org/10.1186/s13020-025-01200-3

Source records

pubmed · retrieved 2026-09-25T16:52:17.144Z