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Masking just 20 Visual Retrieval Heads in VLMs can lead to an 80-point drop in grounding accuracy, revealing their critical role in visual information extraction.
Low early cue precision can enhance conflict behavior in visual classifiers, but shortcut-rich fine-tuning risks erasing this advantage.
