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The University of Tokyo
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VLMs struggle with object-level counterfactual reasoning, achieving only a fraction of human accuracy in spatial tasks.
SurfBind's innovative surface-centric approach outperforms traditional methods, revealing the critical role of molecular surface interactions in epitope prediction.
