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Attention weights in VLMs can fool you: Simpson's paradox hides the true signals of object hallucination, but a new Bayesian method, HaloProbe, can see through the noise.
Despite advances in vision-language models, they still fail at rebus puzzles, highlighting a critical gap in cognitive visual reasoning that neither scaling nor in-context learning can fix.
