Who Speaks for the Pruned? Visual Token Pruning as Coverage Optimization
CoverPruner is proposed, a training-free pruner that asks the complementary demand-side question: after a token is removed, which surviving original token represents it for the target VLM?
Qin Zhu, Wei-Hang You, Han-Qi Jiang et al.
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