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Oct 12 · Monday

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  1. 研究审计 Qwen2-Audio 音频越狱 AdvWave-P 的频率与解码层归因

    遮挡审计 AdvWave-P 音频越狱的频带必要性与解码层关联

    Published
    Evaluated models
    Qwen2-Audio-7B-Instruct, LLaMA-Omni
    AbstractAdvWave-P 的八频带排序与能量相关。

    这是对加性音频越狱 AdvWave-P 的频率与解码器深度审计,受害模型主要是 Qwen2-Audio-7B-Instruct,不提出新攻击。

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  2. 智能体记忆如何可靠处理不可回答问题:一项系统研究

    分析外部记忆对智能体处理不可回答问题的影响

    Published
    Setting
    AI Agent
    Evaluated models
    DeepSeek-V3.2, Qwen3-235B-A22B-Instruct-2507, GPT-5.5
    Abstract记忆能选择性提高 UAQ 的可接受回应,但跨数据集不稳定,且更依赖可迁移的行为指导。

    这份研究在同一智能体框架里检查外部记忆会不会让不可回答问题的处理更稳,以及稳来自哪一种存储内容。

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  3. 研究用因果审计揭示多模态模型视觉工具调用的假象

    因果审计视觉工具调用,分离观察贡献与动作诱发捷径

    Published
    Setting
    AI Agent
    Evaluated models
    DeepEyes, Pixel Reasoner, Mini-o3 and others6
    Abstract聚合增益集中在 Calibrated 少数轨迹,作者称之为视觉工具使用的错觉。

    对六个 thinking-with-images 模型做因果审计,检查 crop-and-zoom 返回的观察是否中介最终答案。

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