AI RESEARCH
From Priors to Perception: Grounding Video-LLMs in Physical Reality
arXiv CS.CV
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ArXi:2605.04515v1 Announce Type: new While Video Large Language Models (Video-LLMs) excel in general understanding, they exhibit systematic deficits in fine-grained physical reasoning. Existing interventions not only suffer from limited generalization but fundamentally conflate generative artifacts with genuine physical fallacies. Furthermore, we find that models fail systematically not only in anti-physics anomalies but also in counter-intuitive scenarios where visual facts contradict statistical expectations.