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For anyH∈T At: ⟨∆, H⟩F = tr 1 ∥k∥2 2 keTH T = 1 ∥k∥2 2 eT(H Tk) = 0,(12) sinceH Tk= 0

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Kaczmarz Linear Attention

cs.LG · 2026-05-09 · unverdicted · novelty 5.0

Kaczmarz Linear Attention replaces the empirical coefficient in Gated DeltaNet with a key-norm-normalized step size derived from the online regression objective, yielding lower perplexity and better needle-in-haystack performance.

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  • Kaczmarz Linear Attention cs.LG · 2026-05-09 · unverdicted · none · ref 54

    Kaczmarz Linear Attention replaces the empirical coefficient in Gated DeltaNet with a key-norm-normalized step size derived from the online regression objective, yielding lower perplexity and better needle-in-haystack performance.