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Oct 12 · Monday

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  1. AgentBound:面向工具型 LLM Agent 安全的四路反事实评测框架

    提出 AGENT BOUNDARY,用四向反事实任务评测工具智能体行动边界

    Published
    Setting
    AI Agent
    Evaluated models
    GPT-5.5, Claude Opus 4.8, Gemini 3.5 Flash and others15
    Abstract四向反事实基准把过度拒绝和未授权遵从拆开,Thought 校正在十个配置上提高已授权完成。

    AGENT BOUNDARY 是面向工具使用 LLM 智能体的四向可执行反事实评测,并附带一个决策时 Thought 校准模块。

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  2. 研究用 30 项漏洞分析任务评测自主安全智能体的安全对齐效果

    评测自主安全智能体在授权漏洞分析中的对齐拒答效应

    Published
    Evaluated models
    Gemma 4 31B official instruction-tuned model, TrevorJS Gemma 4 31B uncensored GGUF, Gemma 4 26B A4B official instruction-tuned model and others8
    Abstract轨迹级评测把拒答、接地、工具接口分开。

    这项工作把安全对齐效应测成自主安全智能体的轨迹属性,而不是单轮拒答率。

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