Skip to content

Translation in progress Some entries still include text in the original language.

Oct 12 · Monday

All papers

Found 11 papers
Filter1

Model risks

Dangerous agent actions5

Impact

Unauthorized actions5

System type

Models and APIs148LLM applications29AI Agent225coding agent56science agent19web agent16Browser and computer use11Multi-agent systems20Embodied systems and robotics11

Layer

Model layer3Application layer6

System component

Vision3Multimodal4
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 313papers have no tags yet and are not included in filtered results.
System type：Embodied systems and roboticsClear all

Another 313papers do not have category tags yet and are not included in filtered results.

  4. Evaluation and benchmarksarXiv 2610.04366

    CrashSim 用真实事故先验生成碰撞场景并构建 nuCrash 数据集

    提出 CrashSim 用真实事故先验引导扩散仿真并构建 nuCrash 评测自动驾驶规划器

    arXiv
    2610.04366
    Published
    Layer
    Application layer
    Setting
    Embodied systems and robotics
    Evaluated models
    Lane-graph planner, PDM-closed planner, IL planner and others5
    AbstractCrashSim 迁入真实事故先验生成场景。

    CrashSim 用检索到的真实事故先验引导扩散式多车仿真，为自动驾驶安全评测生成碰撞与近碰撞场景。。

    Paper analysisRead analysis
  5. 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。

    Paper analysisRead analysis
  6. Evaluation and benchmarksarXiv 2609.38948

    DrivingBench 发布：让视觉语言模型驾驶丰田 Corolla 绕桩

    提出 DrivingBench，评测通用视觉语言模型能否闭环驾驶真车

    arXiv
    2609.38948
    Published
    Layer
    Application layer
    Setting
    Embodied systems and robotics
    Evaluated models
    GPT-6 Astra, Claude Fable 5.1, Grok 4.6 and others4
    Abstract仅 Astra 第二次跑完低速锥桶路线。

    DrivingBench 评测通用 VLM 能否自己闭环开真车，推理延迟也算进任务。

    Paper analysisRead analysis
  7. Evaluation and benchmarksarXiv 2609.26618

    NavSafe-∞：在真实感环境中评测闭环驾驶安全

    提出 NAVSAFE-∞ 写真闭环基准，评测端到端驾驶策略的闭环安全

    arXiv
    2609.26618
    Published
    Layer
    Application layer
    Setting
    Embodied systems and robotics
    Evaluated models
    LTF, DiffusionDrive, DrivoR and others13
    Abstract写真事件级闭环基准显示开环高分不能稳定变成闭环安全。

    NAVSAFE-∞ 用写真、事件级闭环仿真检查端到端驾驶策略的安全，而不是只看开环轨迹分数。

    Paper analysisRead analysis
  9. Evaluation and benchmarksarXiv 2609.15315

    安全强化学习评测指标：SafeRLEval 开源评测套件

    提出 SafeRLEval，用越界率与代价偏差评测安全强化学习

    arXiv
    2609.15315
    Published
    Layer
    Training and data layer
    Setting
    Embodied systems and robotics
    Evaluated models
    PPO-Lag, P3O, FOCOPS
    AbstractSafeRLEval 用越界率、归一化偏差和安全等级补充 E[C]≤d，并要求同时看贪心部署。

    Spoor、Plaat 与 Moerland 认为，安全强化学习沿用 CMDP 的 E[C]≤d，只报告平均是否安全，看不出越界频率和幅度，也分不清训练期、带探索噪声的最终策略和贪心部署策略。他们提出评测框架 SafeRLEval：越界率 V、按安全界归一化的平均代价偏差 Dnorm、只在越界回合上计算的归一化幅度 Dnorm+。用 IQM 跨任务和安全界聚合。

    Paper analysisRead analysis
  10. Evaluation and benchmarksarXiv 2604.12447

    HazardArena：面向 VLA 模型的语义安全评测基准

    提出 HazardArena 基准，用孪生场景评测 VLA 的语义安全

    arXiv
    2604.12447
    Published
    Layer
    Model layer
    Setting
    Embodied systems and robotics
    Evaluated models
    OpenVLA-OFT, π0, NORA and others4
    Abstractsafe-only 微调提升良性执行，也提升匹配不安全孪生上的危险完成。

    HazardArena 评测 VLA 在运动要求不变时，能否因语义风险而停手。

    Paper analysisRead analysis
You have reached the end