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Updated: Jan 17, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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ZeroTuneBio NER:使用大型语言模型和提示工程来实现零射击和零调节生物医学实体提取的三阶段框架

Mingyuan Qin1, Lei Feng2, Jing Lu3

  • 1Department of Dermatology, Huashan Hospital, Shanghai Institute of Dermatology, Fudan University, Shanghai, China; Greater Bay Area Institute of Precision Medicine, School of Life Sciences, Fudan University, Shanghai, China.

Computer methods and programs in biomedicine
|September 13, 2025
PubMed
概括

本研究介绍了ZeroTuneBio NER,一个框架,使大语言模型 (LLM) 能够执行高质量的生物医学命名实体识别 (NER) 无需微调. 这种方法提高了LLM的性能,并减少了对手册注释的依赖.

关键词:
人工智能的人工智能是人工智能.思想的链条 思想的链条实体提取 实体提取大型语言模型.

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