arxiv
PublishedJune 3, 2026 at 4:00 AM
—neutral
Multi-Segment Attention: Enabling Efficient KV-Cache Management for Faster Large Language Model Serving
Publisher summary· verbatim
arXiv:2606.02964v1 Announce Type: cross Abstract: Large Language Model (LLM) inference relies on key-value (KV) caches to avoid redundant attention computation. While approximate KV cache retention techniques reduce memory usage by sacrificing model accuracy, lossless approaches instead evict KV cac
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Originally published on arxiv ↗