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Updated: Jul 4, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

572

有证据的多源免费无监督域名适应

Jiangbo Pei, Aidong Men, Yang Liu

    IEEE transactions on pattern analysis and machine intelligence
    |February 5, 2024
    PubMed
    概括

    本研究介绍了一种基于证据的学习方法,用于多源无监督域调整 (MSFUDA),以改进来自多个模型的知识聚合. 拟议的证据聚合和适应框架 (EAAF) 通过解决域级和地方结构挑战,实现了最先进的结果.

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