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High-Dimensional Learning Dynamics of Attention-Indexed Models

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.03858v1 Announce Type: cross Abstract: Attention mechanisms are central to modern foundation models, yet their training dynamics remain poorly understood, especially when the attention matrices have extensive rank. In this work, we study attention-indexed models, a broad framework that c…

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  1. 2026-09-04 04:00 · arXiv stat.ML
    High-Dimensional Learning Dynamics of Attention-Indexed Models

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