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Guoqi Li

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#machine learning Preprint Aug 2026

LoGo: Token-Level Dynamic Local-Global Attention

LoGo, a token-level dynamic local-global attention mechanism that uses attention span as a direct proxy for attention budget allocation, is proposed and results suggest that learned token-level span allocation is an effective and scalable way to improve the long-context performance-compute trade-off.

Yuqi Pan, Zheng Li, Bohao Tang et al. · 0 citations