arXiv Machine Learning July 2, 2026 By Ran Yan, Youhe Jiang, Zhuoming Chen, Haohui Mai, Beidi Chen, Binhang Yuan

FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel

Read the original on arXiv Machine Learning →

arXiv:2508. 18224v3 Announce Type: replace-cross Abstract: Recent advances in sparse attention mechanisms have demonstrated strong potential for reducing the computational cost of long-context training and inference in large language models (LLMs).

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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