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Oct 13 · Tuesday

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  1. SCHEMA:面向科学 Agent 幻觉的拓扑感知评测框架

    提出 SCHEMA,用概念图与轨迹分评测科学 Agent 幻觉

    Published
    Evaluated models
    Kimi-K2.5, Qwen3.6-Plus, Llama-4-Scout and others10
    AbstractSCHEMA 用知识拓扑评估科学智能体幻觉,终答正确仍可能来自有缺陷的中间推理。

    SCHEMA 是面向科学智能体幻觉的证据锚定评测框架,实例化在生物医学的 Protein Domain 与 PathVQA-Enhanced。作者在摘要中称它是首个同时做到证据锚定和拓扑感知的此类框架。

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  2. 论文提出 ARE 框架,在 VisualWebArena 上评估多模态 Agent 的对抗鲁棒性

    提出 ARE 框架与图像文本攻击,评测多模态网页 Agent 的对抗鲁棒性

    Published
    Setting
    web agent
    Evaluated models
    GPT-4o, GPT-4V, Claude-3-Opus and others4

    Abstract系统评估多模态网页智能体的脆弱性,指出推理时计算组件被攻破会加剧系统风险。

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