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Updated: Feb 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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叶:通过事实检查增强学习和评估,以提高大型语言模型中的事实性

Hieu Tran1,2, Junda Wang1,2, Yujan Ting1

  • 1United Imaging Intelligence, Boston, MA, USA.

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

大型语言模型 (LLM) 现在可以使用LEAF框架进行医学准确性的事实检查. 该系统通过整合强大的事实检查和指导检索来改善医疗保健中的LLM响应,提高可靠性.

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