arxiv
PublishedMay 16, 2026 at 4:00 AM
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Krause Synchronization Transformers
Publisher summary· verbatim
arXiv:2602.11534v3 Announce Type: replace-cross Abstract: Self-attention in Transformers relies on globally normalized softmax weights, causing all tokens to compete for influence at every layer. When composed across depth, this interaction pattern induces strong synchronization dynamics that favor
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Originally published on arxiv ↗