:

Aidan Gilson1, Xuguang Ai2, Thilaka Arunachalam3

  • 1Department of Ophthalmology and Visual Science, Yale School of Medicine, Yale University, New Haven, USA.

ArXiv
|October 1, 2025
PubMed
概括

检索增强生成 (RAG) 通过减少幻觉证据显著改善了大型语言模型 (LLM) 的医疗问题答案. 然而,在最优的文档检索和选择方面仍然存在挑战,以提高准确性和完整性.

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