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J. Song

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Jul 2026

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs

This work proposes Single-Forward Pruner (SFPruner), a structural reformulation of visual token pruning that embeds redundancy control directly into the scoring space, bypassing the need for iterative combinatorial optimization and achieves redundancy-aware importance selection in a single forward pass.

J. Song, Woohyeong Kim, Kyeongbo Kong · 0 citations

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