Author

Tian Liang

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Preprint Jul 2026

Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling

Hierarchical Landmark Sparse Attention is proposed, a chunk-wise sparse attention mechanism that learns chunk selection end-to-end under the language-modeling (LM) loss, enabling long-context LLMs that are both more efficient and more effective on general long-context tasks than their full-attention counterparts.

Xiang Hu, Xinyu Wei, Hao Gu et al. · 3 citations