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Hitotsubashi University
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Reducing the modality gap in CLIP can paradoxically lead to worse accuracy by concentrating predictions on fewer classes, a phenomenon termed prediction-level hubness.
Hallucination detectors often mistake the beginning of a caption for truth, regardless of its actual accuracy, revealing a critical blind spot in VLM evaluation.