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SOCKET: SOft Collision Kernel EsTimator for Sparse Attention

Joshi, Sahil et al.
arXiv (All) · Papers
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machine-learning
Exploiting sparsity is key to efficient long-context inference, as attention dominates the cost of autoregressive decoding. Sparse attention reduces this cost by restricting computation to a subset of tokens, but its effectiveness hinges on fast and accurate token scoring and selection at inference
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