WorldExam：从表观外观到内在反应性的世界模型基准
原标题：WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity
AI 摘要
WorldExam 是一个用于评估可控视频生成模型作为世界模型能力的层次化诊断基准，涵盖视觉质量、控制遵循、空间一致性和世界反应性四个层级，包含 1,474 个测试案例和八项任务。对 20 个代表性模型的评估显示，不同驱动范式的模型在能力上存在明显分化，没有模型能同时兼顾广泛任务覆盖和稳定性能，表明高视觉质量和显式指令遵循并不保证内在反应性。
正文节选
WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity Abstract Controllable video generation models are increasingly being developed as world models. Accordingly, evaluating them in this role extends beyond the apparent appearance of generated videos to the inherent reactivity of the worlds they depict: the ability to infer from the scene state how the world should react and to generate plausible consequences not explicitly described in the input. Yet existing benc