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Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch

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Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch
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Parallax replaces LLA's per-query solver with a learned projector, doubling arithmetic intensity and improving perplexity at 0. 6B and 1. 7B. The post Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch appeared first on MarkTechPost.

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