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Karlsruhe Institute of Technology
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A tiny VICL model challenges the assumption that bigger is always better, revealing critical gaps in how we evaluate adaptive capabilities in vision tasks.
Visual in-context learning models struggle with adaptation, revealing critical limitations across 106 dataset-task combinations.
