2 papers
cs.CL2026
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling
Xiang Hu, Xinyu Wei, Hao Gu +10
Scaling modern large language models (LLMs) to long contexts is limited by the quadratic computation cost, and poor length extrapolation of dense attention. Chunk-wise sparse atten…
cs.CL2026
Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation
Shuaiyi Li, Zhisong Zhang, Yan Wang +5
Block attention, which processes the input as separate blocks that cannot attend to one another, offers significant potential to improve KV cache reuse in long-context scenarios su…