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Sliding-window attention beats linear on long-context reasoning [R]

This story is from 2026-08-31. It is preserved in the archive; the latest stories are on the live feed.

Sliding Window Attention with sinks, one of the simplest existing fixes for the quadratic-cost problem in LLMs, holds up as well or better than the linear-attention variants labs have been spending post-training compute to produce. That is the claim of a [new arXiv preprint]( https://arxiv.org/abs/…

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  1. 2026-08-31 16:35 · r/MachineLearning
    Sliding-window attention beats linear on long-context reasoning [R]

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