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Updated: Jul 6, 2025

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一个法学士不够:利用合奏学习的力量来回答医学问题

Han Yang1, Mingchen Li2, Huixue Zhou1

  • 1Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.

medRxiv : the preprint server for health sciences
|January 10, 2024
PubMed
概括

本研究介绍了LLM-Synergy,这是一种集体学习框架,可以通过使用大型语言模型 (LLM) 提高医疗问题答案的准确性. 这种新的方法提高了各种生物医学数据集的可靠性.

关键词:
组合学习学习 组合学习医疗保健人工智能的人工智能大型语言模型医疗问题 回答 回答

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