AI RESEARCH
Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs
arXiv CS.CV
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ArXi:2605.09422v1 Announce Type: cross Although Large Multimodal Models (LMMs) have achieved strong performance on general video understanding, their susceptibility to textual prior shortcuts during causal discovery has been recognized as a critical deficit. The underlying mechanisms of this phenomenon remain incompletely understood, as existing benchmarks only measure response accuracy without revealing the sources and extent of the deficit. We