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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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利用大型语言模型和嵌入式表示来进行增强的词相似性计算.

XiaoHong Peng1, Hongbin Jiang1, Jing Chen2

  • 1College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China.

Scientific reports
|December 8, 2025
PubMed
概括

本研究介绍了WSLE,这是计算单词相似性的新框架. WSLE增强了来自大型语言模型 (LLM) 的语义表示,以更准确地测量单词相似性.

关键词:
计算框架 计算框架大型语言模型.语义嵌入是一种语义嵌入.语义增强 语义增强 语义增强一个词的相似性.

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