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Updated: Jan 14, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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VLExpan:一个视觉增强的LLM框架,具有对实体集扩展的诱导和演策略

Yinan Wu1, Qianyi Dong1, Jingping Liu1

  • 1School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.

Neural networks : the official journal of the International Neural Network Society
|October 18, 2025
PubMed
概括

本研究介绍了VLExpan,这是一个新的框架,通过将视觉信息与大型语言模型 (LLM) 集成来增强实体集扩展 (ESE). 与传统的纯文本方法相比,VLExpan提高了细粒度的ESE,并减少了错误.

关键词:
实体设置了扩张.知识图表知识图表大型语言模型.

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