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CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.01925v1 Announce Type: new Abstract: The attention prefilling phase of long-context LLM inference scales quadratically, making self-attention a severe computational bottleneck. Traditional sparse attention methods mitigate this through fixed patterns or offline profiling, but lack the fl…

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  1. 2026-09-03 04:00 · arXiv cs.LG
    CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing

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