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Updated: Mar 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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从分数到步骤:诊断和改善基于证据的医学计算中的LLM绩效

Benlu Wang1, Iris Xia1, Yifan Zhang2,3

  • 1Department of Computer Science, Yale University, CT, USA.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing
|March 9, 2026
PubMed
概括

大型语言模型 (LLM) 在医学中显示出潜力,但它们的计算能力需要更好的评估. 这项研究引入了一种评估LLM医学计算的新方法,提高了临床使用的可靠性.

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