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Updated: Jun 5, 2025

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
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通过代的后续问题改善医学中检索增强生成

Guangzhi Xiong1, Qiao Jin2, Xiao Wang3

  • 1Department of Computer Science, University of Virginia, VA 22904, USA, hhu4zu@virginia.edu.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|December 13, 2024
PubMed
概括

代检索增强生成 (i-MedRAG) 通过启用代后续查询来增强医疗问题答案的大型语言模型. 与标准方法相比,这种方法可以提高复杂的医疗和一般知识任务的准确性.

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