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Morning Edition · Thursday, June 18, 2026
Gaussian Mixture Attention Proposes Linear-Time Sequence Mixing for Long Contexts
A new arXiv paper replaces dense token-to-token attention with probabilistic latent routing to cut the quadratic cost.
A paper posted to arXiv introduces Gaussian Mixture Attention (GMA), a mechanism that aims to replace the dense token-to-token interaction of standard dot-product attention with a probabilistic latent routing scheme that scales linearly wit…
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