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Johannes Wesch

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#artificial intelligence Preprint Oct 2026

KV$^2$: A Self-Refining KV Cache

The memory footprint of the key-value (KV) cache constrains the practical use of long-context models, and it dominates cost when one prefilled context must later serve many different queries. In this reusable setting, query-agnostic compression trades cost against quality: lightweight estimators are cheap but less accu...

Johannes Wesch, Danni Liu, Jan Niehues · 0 citations

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