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LatentIndex: Cross-Layer Sharing with Layer-Specific Selection for Sparse Attention
Sparse attention reduces core-attention computation, but its indexers still incur repeated selection work and per-layer key-cache storage. Reusing selected indices across layers reduces this overhead but constrains multiple layers to the same token set. We introduce LatentIndex, which extends the la
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