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BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.20427v1 Announce Type: new Abstract: Dense causal attention remains expensive at long context even when implemented with highly optimized exact kernels. We study BF1, a deterministic block-aligned dyadic sparse-attention route that combines a small exact local neighborhood, a global firs…

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  1. 2026-08-24 04:00 · arXiv cs.LG
    BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers

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