AI RESEARCH
DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs
arXiv CS.CV
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ArXi:2604.06250v1 Announce Type: new When asked to describe a molecular diagram, a Vision-Language Model correctly identifies ``a benzene ring with an -OH group.'' When asked to reason about the same image, it answers incorrectly. The model can see but it cannot think about what it sees. We term this the perception-integration gap: a failure where visual information is successfully extracted but lost during downstream reasoning, invisible to single-configuration benchmarks that conflate perception with integration under one accuracy number. To systematically expose such failures, we.