[KongchangAI]
Unverified50% confidenceBenchmarkExact time

ChunkKV, proposed by the Hong Kong University of Science and Technology (Guangzhou) team, uses continuous semantic chunks as the basic compression unit, retaining or discarding entire chunks. In the NIAH benchmark test, with the KV cache limited to 128, the LLaMA-3-based ChunkKV achieves an accuracy of 73.8%, exceeding SnapKV's 58.9%.

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10/12/2026
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