Author

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.

Yu-Qi Pan, Zheng Li, Bo-Hao Tang et al. · 1 citation