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Oct 12 · Monday

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Inference-time intervention7Monitoring and auditing2

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  1. InterpretabilityarXiv 2610.06576

    研究：智能体欺骗行为在外部显现前已可从内部表征预测

    提出基于决策前隐藏状态的检测与引导，预测并抑制智能体欺骗

    arXiv
    2610.06576
    Published
    Layer
    Model layer
    Setting
    AI Agent
    Evaluated models
    Qwen3-14B

    Abstract论文展示了智能体自发欺骗可在行为显现前由内部表征预测，并通过激活引导证实了表征的行为可操作性。

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  2. InterpretabilityarXiv 2608.30480

    VisER：面向 LVLM 物体幻觉检测的视觉证据与视觉依赖双面指标

    提出 VisER，用内部视觉证据检测 LVLM 物体幻觉

    arXiv
    2608.30480
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Evaluated models
    LLaVA-1.5-7B, LLaVA-NeXT-7B, InstructBLIP and others8
    AbstractVisER 用证据门与图像–前缀比给物体提及打落地分。

    VisER 是面向 LVLM 开放式图像描述的免训练物体级幻觉检测分数，用来处理内部支持的来源混淆。

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