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English(EN) PAWBench: How Far Are We from Probabilistically Aligned World Modeling?

新基准PAWBench揭示视频模型缺乏概率对齐

研究人员推出了PAWBench,一个旨在评估视频生成模型作为世界模型的新基准,重点关注它们重现可能行为分布的能力,而不仅仅是单个视频的可信度。随附的PAWEval协议将重复的视频生成转换为物理行为的经验分布。在十一个现有系统和50个场景中,没有模型表现出一致的概率对齐,这表明当前视频生成能力存在显著差距。 AI

影响 突出了当前视频生成模型中的差距,可能指导未来研究朝着更准确和概率化的世界模型发展。

排序理由 该集群描述了一个用于评估AI模型的新基准和评估协议,发布在arXiv上。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新基准PAWBench揭示视频模型缺乏概率对齐

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该集群描述了一个用于评估AI模型的新基准和评估协议,发布在arXiv上。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yuandong Pu, Le Zhuo, Sayak Paul, Gabriel Jorge Menezes, Avram {\DJ}or{\dj}evi\'c, Shiyang Li, Yifan Zhou, Bin Fu, Wenlong Zhang, Junjun He, Yu Qiao, Yihao Liu, Jingbo Xing, Xi Chen ·

    PAWBench:我们距离概率对齐的世界模型还有多远?

    arXiv:2608.27345v1 Announce Type: cross Abstract: Recent video generation models are increasingly framed as world models. Many physical processes can unfold in more than one valid way. Therefore, a world model should reproduce not only a plausible trajectory, but also the distrib…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    PAWBench:我们距离概率对齐的世界模型还有多远?

    The study formalizes probabilistic alignment for world models, introduces PAWBench and PAWEval to evaluate video generators as stochastic samplers, and finds current models fail to match reference behavior distributions.