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Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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使用大型语言模型进行可扩展的科学兴趣分析

Yilun Liang1,2, Gongbo Zhang1, Edward Sun3

  • 1Department of Biomedical Informatics, Columbia University, New York, NY, USA.

ArXiv
|September 2, 2025
PubMed
概括

大型语言模型 (LLM) 可以自动化科学兴趣分析. 使用医学主题标题 (MeSH) 术语生成的个人资料显示出更好的可读性,并且优于基于抽象的个人资料,尽管与人写的摘要有所不同.

关键词:
库尔巴克-莱布勒分歧大型语言模型自然语言生成研究人员简介

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