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BeNice Closing the Inference-Memory Gap of Looped Models with KV-Sharing

AI ยท 2026-10-24 14:36

Researchers propose BeNice, a post-training method that lets looped architectures share a single KV cache across all recursions without quality loss, and it stacks with sequence mixers and KV quantization to enable higher-throughput inference.

Source: sandyresearch.github.io


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