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Updated: Jan 14, 2026

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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双域属性学习框架与异步适配器用于持续测试时间适应

Yuntong Tian, Kang Li, Tianyang He

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |January 12, 2026
    PubMed
    概括

    本研究引入了一种新的双域属性学习框架,用于持续测试时间域调整 (CTTA). 它有效地减轻了在动态环境中的灾难性遗忘和错误积累,通过对特定领域和域不变知识的独立异步更新.

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