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AI · arxiv.org · Wednesday, 17 June 2026

Editable KV Cache Cuts LLM Prompt Latency up to 15×

The paper shows KV caches can be edited and composed during prefill, so only changed fields are overwritten while the rest is reused. This yields up to 14.9× lower latency and 53‑398× faster time‑to‑first‑token in vLLM benchmarks without hurting model outputs.

Read the source: arxiv.org ↗In the 17 June issue →