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VLMs are surprisingly bad at visually matching objects unless they can name them, revealing a critical reliance on textual anchors that overshadows their visual processing capabilities.
VLMs can regain lost linguistic prowess without extra parameters or architectural changes, thanks to a clever KV-cache sharing trick for distillation.
