AMMKD claims large gains from adaptively weighted two-teacher CLIP distillation, but its equations are internally inconsistent, its baselines are unverifiable, and its tests do not match its stated retrieval goal.
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AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models
AMMKD claims large gains from adaptively weighted two-teacher CLIP distillation, but its equations are internally inconsistent, its baselines are unverifiable, and its tests do not match its stated retrieval goal.