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Updated: Jan 17, 2026

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一种检索增强的知识挖掘方法,具有深入思考的LLM,用于生物医学研究和临床支持.

Yichun Feng1,2,3, Jiawei Wang4, Ruikun He5

  • 1School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, 100049 Beijing, China.

GigaScience
|September 19, 2025
PubMed
概括

本研究引入了一种使用大型语言模型 (LLM) 构建生物医学知识图表并改善问题答案的新方法. 综合和渐进的检索-增强推理 (IP-RAR) 方法提高了信息检索和推理准确度.

关键词:
深刻的思考 深刻的思考 深刻的思考知识图表知识图表知识开采知识开采大型语言模型提取增强生成的提取

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