arxiv
PublishedApril 13, 2026 at 4:00 AM
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CSAttention: Centroid-Scoring Attention for Accelerating LLM Inference
Publisher summary· verbatim
arXiv:2604.08584v1 Announce Type: cross Abstract: Long-context LLMs increasingly rely on extended, reusable prefill prompts for agents and domain Q&A, pushing attention and KV-cache to become the dominant decode-time bottlenecks. While sparse attention reduces computation and transfer costs, it ofte
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Originally published on arxiv ↗