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Updated: Jun 28, 2025

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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一个适合众多:类混损失多功能域调整的多功能域调整

Ying Jin, Zhangjie Cao, Ximei Wang

    IEEE transactions on pattern analysis and machine intelligence
    |April 23, 2024
    PubMed
    概括

    本研究介绍了多功能域适应 (VDA),一种新方法,使单一方法能够处理多种域适应场景. 通过尽量减少类混,拟议的CC-Loss在各种设置中实现了无需修改的竞争性性能.

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