2026
ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
ICML 2026poster
KV-cache retrieval is essential for long-context LLM inference, yet existing methods struggle with distribution drift and high latency at scale. We introduce **ParisKV**, a drift-robust, GPU-native KV-cache retrieval framework based on collision-based candidate selection, followed by a quantized inn…