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on-demand key reconstruction

topic1 events
papersTODAY 04:00 UTC

Grouped Value Attention Cuts KV Cache Cost via On-Demand Key Reconstruction

A new arXiv paper proposes Grouped Value Attention, a method that lowers the memory and read-bandwidth burden of the key-value cache during Transformer decoding. Unlike grouped-query attention, which still stores separate keys and values per shared head, the approach reconstructs keys on demand from stored values. This targets the KV cache, which the authors identify as a main bottleneck as sequence lengths grow.

kv-cache/efficiency/attention/inference