ArticleScientific reports2024
CPMI-ChatGLM: parameter-efficient fine-tuning ChatGLM with Chinese patent medicine instructions.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A comprehensive review of intelligent question-answering systems in traditional Chinese medicine based on LLMs.Journal of pharmaceutical analysis · 2026Review
- BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning.Ophthalmology science · 2026Article
- Tuning and clinical application of large language models in Traditional Chinese Medicine: scoping review.Chinese medicine · 2026Review
- Cross-domain neural collaborative filtering for personalized herbal prescription recommendation.Chinese medicine · 2026Article
- Advancing the modernization of traditional Chinese medicine through artificial intelligence and multimodal data integration.Chinese medicine · 2026Review
- Developing a Quality Evaluation Index System for Health Conversational Artificial Intelligence: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Development and application of artificial intelligence in traditional Chinese medicine research and development.Chinese medicine · 2026Review
- Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models.JAMA ophthalmology · 2025Article
- Performance Assessment of ChatGPT-4.0 and ChatGLM Series in Traditional Chinese Medicine for Metabolic Associated Fatty Liver Disease: Comparative Study.JMIR formative research · 2025Article
- The Development Landscape of Large Language Models for Biomedical Applications.Annual review of biomedical data science · 2025Review
- Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review.BMC medical informatics and decision making · 2024Review
- Possible opportunities and challenges for traditional Chinese medicine research in 2035.Frontiers in pharmacology · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
Chinese patent medicine (CPM) is a typical type of traditional Chinese medicine (TCM) preparation that uses Chinese herbs as raw materials and is an important means of treating diseases in TCM. Chinese patent medicine instructions (CPMI) serve as a guide for patients to use drugs safely and effectively. In this study, we apply a pre-trained language model to the domain of CPM. We have meticulously assembled, processed, and released the first CPMI dataset and fine-tuned the ChatGLM-6B base model, resulting in the development of CPMI-ChatGLM. We employed consumer-grade graphics cards for parameter-efficient fine-tuning and investigated the impact of LoRA and P-Tuning v2, as well as different data scales and instruction data settings on model performance. We evaluated CPMI-ChatGLM using BLEU, ROUGE, and BARTScore metrics. Our model achieved scores of 0.7641, 0.8188, 0.7738, 0.8107, and - 2.4786 on the BLEU-4, ROUGE-1, ROUGE-2, ROUGE-L and BARTScore metrics, respectively. In comparison experiments and human evaluation with four large language models of similar parameter scales, CPMI-ChatGLM demonstrated state-of-the-art performance. CPMI-ChatGLM demonstrates commendable proficiency in CPM recommendations, making it a promising tool for auxiliary diagnosis and treatment. Furthermore, the various attributes in the CPMI dataset can be used for data mining and analysis, providing practical application value and research significance.
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