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Oct 13 · Tuesday

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Found 2 papers
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Impact

Harmful content8Unauthorized actions13Data and privacy leaks7Output manipulation26Availability and reliability2Oversight failure9

System type

LLM applications5AI Agent41coding agent9web agent4Multi-agent systems2

Layer

Application layer2Infrastructure layer0
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 215papers have no tags yet and are not included in filtered results.
Impact：Availability and reliabilitySystem type：Multi-agent systemsLayer：Application layerLayer：Infrastructure layerClear all

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  1. Evaluation and benchmarksarXiv 2610.02874

    SceneFactory-3D：将 2D 交通场景提升为 3D 物理反事实以做安全评测

    提出 SceneFactory-3D，用路况反事实评测驾驶策略的闭环安全性

    arXiv
    2610.02874
    Published
    Layer
    Application layer
    Setting
    Embodied systems and robotics, Multi-agent systems
    Evaluated models
    Frozen L0, L0-T, L1 and others5
    AbstractSceneFactory-3D 固定场景只改路况。

    SceneFactory-3D 是 GPU 批处理的多智能体驾驶仿真器，用来在场景和控制器固定时只改路面物理，并比较闭环结果。

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  2. Risky behaviorarXiv 2609.35928

    论文发现暴露模型身份标签会削弱多智能体 LLM 合作

    发现暴露模型家族标签会让多智能体派系化并削弱合作

    arXiv
    2609.35928
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems
    Evaluated models
    Gemma (gemma-4-26B-A4B-it), GPT-OSS (gpt-oss-20b), Nemotron (NVIDIA-Nemotron-3-Nano-30B-A3B-BF16) and others6
    Abstract可见身份标签让异构 LLM 群体按标签结派，共识更慢、更贵，去掉标签后该行为消失。

    Del Giudice 等人研究异构多智能体 LLM 系统里一个配置细节：把模型家族身份告诉智能体，会不会改变合作。他们把由此出现的、按身份结组的倾向称为 factionalism。任务是无利害的共同决策，没有人设，也没有偏向同家族同伴的奖励。

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