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November 30, 2025Chinese MedicineOpen Access

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

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Authors

XTXuming TongXDXiaozheng DingHJHui-Ru Jia

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Overview

This work demonstrates improved accuracy and safety in traditional Chinese medicine Q&A systems, suggesting that fine-tuning methods enhance model performance.

Key Points

  • XuanHuGPT shows improved accuracy and consistency in traditional Chinese medicine applications, outperforming other models.
  • The model achieves superior performance metrics such as safety and BLEU scores in TCM-specific tasks.
  • Parameter-efficient fine-tuning techniques were utilized to optimize the model, balancing performance with training costs.
  • The results highlight advancements in digital transformation and dissemination of traditional Chinese medicine knowledge.

Cite This Study

Tong et al. (2025) studied this question.

synapsesocial.com/papers/692b94261d383f2b2a3783bchttps://doi.org/10.1186/s13020-025-01200-3
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