AINeutralarXiv – CS AI · 18h ago6/10
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How Much Dense Attention is Necessary? Oracle-Guided Sparse Prefill for Full/GQA Layers in Hybrid Long-Context Models
Researchers introduce an oracle-guided sparse attention method that reduces the computational cost of long-context language model inference by selectively computing dense attention only on relevant tokens. The approach achieves speedups of 1.71-1.93x on production hardware while maintaining quality within 1-2 points of full dense attention baselines on Qwen models.