SCOPD uses self-distillation to close VLM representation gaps
September 27, 2026
SCOPD is a sparse-context on-policy self-distillation framework designed to reduce VLM inference costs. It addresses the representation-utilization gap, where pruned visual tokens remain useful but are often unreliably accessed by greedy decoding.
HOW THIS AFFECTS YOU
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builderYou can use this to compress visual token sequences for faster VLM inference with minimal accuracy loss.
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researcherThis identifies a specific gap between representation and utilization in pruned vision models.