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HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

This work proposes HISA (Hierarchical Indexed Sparse Attention), a plug-and-play replacement for the indexer that rewrites the search path from a flat token scan into a two-stage hierarchical procedure: a block-level coarse filtering stage that scores pooled block representations to discard irrelevant regions, followed...

Yufei Xu, Fan-Xu Meng, Fan Jiang et al. · 10 citations · ⚡1

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