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Updated: Jan 7, 2026

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

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关于在无监督域调整中代表性学习的可转移性和可歧视性

Wenwen Qiang, Ziyin Gu, Lingyu Si

    IEEE transactions on pattern analysis and machine intelligence
    |December 30, 2025
    PubMed
    概括

    这项研究引入了无监督域调整 (UDA) 的新方法,该方法可以提高特征的可区分性. 拟议的方法通过确保可转移性和可区分性来提高模型性能来增强代表性学习.

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