ENTITY Michela Lapenna

Michela Lapenna

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TOOL · CL_284504 · Oct 7 · 04:00

Sinkhorn attention preserves transformer rank decay, study finds

Researchers have analyzed the Sinkhorn algorithm's application to doubly stochastic attention in transformer architectures, finding it preserves rank more effectively than standard row-stochastic attention. The study, w…