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Geometric Memory in Transformers: Spectral Bias
In this AI Research Roundup episode, Alex discusses the paper: 'Deep sequence models tend to memorize geometrically; it is unclear why(2510.26745v1)' The authors argue that sequence models, especially Transformers, store memory via a learned embedding geometry rather than simple co-occurrence lookup. They showcase a reasoning task where ℓ ...
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