统一的模式分离:无监督域调整的视觉语言框架

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Updated: Sep 10, 2025

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

681

Xinyao Li, Jingjing Li, Zhekai Du

    IEEE transactions on pattern analysis and machine intelligence
    |August 22, 2025
    PubMed
    概括

    这项研究引入了使用视觉语言模型 (VLM) 的无监督域适应 (UDA) 的新框架. 它有效地解决了模式差距,提高了跨领域任务的性能和计算效率.

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