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Updated: Sep 18, 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

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语义对齐的对抗性进化三角形用于高可转移性视觉语言攻击

Xiaojun Jia, Sensen Gao, Qing Guo

    IEEE transactions on pattern analysis and machine intelligence
    |June 20, 2025
    PubMed
    概括

    本研究引入了一种新的方法,为视觉语言预训练 (VLP) 模型创建更有效的对抗示例 (AE). 通过增加多样性和使用语义特征空间,该方法显著提高了AEs对未见模型的可转移性.

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