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arXiv cs.AI· Shuo Wen, Beixi Du, Edwin Meriaux, Junming Shi, Chloe Si, David Meger, Doina Precup, Gregory Dudek·· 3 小时前AI 评分39

The Prestige:用魔术表演评测认知视觉推理的基准

The Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks

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The Prestige 是一个通过专业魔术表演考察认知视觉推理的视频理解基准,魔术中的刻意误导要求模型追踪事件并解释意外结果,题目涵盖时序与因果理解及对抗性问题。评测显示最强 VLM 与人类表现差距显著,且模型即使无法独立生成正确解释也能答对选择题,揭示了模型推理与评测方法的双重局限。

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Abstract:We introduce The Prestige, a video understanding benchmark that probes cognitive visual reasoning through professional magic performances, where deliberate misdirection challenges models to track events and explain unexpected outcomes. The benchmark comprises open-ended questions ranging from temporal and causal understanding to robustness against adversarial questions. Evaluation of leading open-source and proprietary VLMs reveals a substantial gap between even the strongest model and human performance. We also find systematic discrepancies between human and automated grading and identify recurring model failure modes. Ablations further show that models can select correct multiple-choice answers even when they fail to generate correct explanations independently, motivating further investigations into question formats. Together, these findings highlight limitations in both VLM reasoning and its evaluation, underscoring the need for more reliable video understanding models and more rigorous benchmarks.
Comments: 40th Conference on Neural Information Processing Systems (NeurIPS 2026). Track on Evaluations and Datasets
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
Cite as: arXiv:2610.38103 [cs.CV]
  (or arXiv:2610.38103v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2610.38103

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Submission history

From: Shuo Wen [view email]
[v1] Wed, 28 Oct 2026 00:41:06 UTC (8,484 KB)

来源:arXiv cs.AI · arxiv.org