Who Should Score the Cache? Mid-Depth Layers Are the Best Judges of KV-Cache Eviction
Factual evidence
What the source reports
Researchers found mid-depth layers (40-75% depth) optimize KV-cache eviction quality across 21 LLMs, boosting long-context accuracy.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 4 November 2026
- Collected by OneBench
- 5 Nov 2026, 02:01 UK
Stored source excerpt
arXiv:2611.02230v1 Announce Type: cross Abstract: Key-value (KV) cache eviction methods rank tokens by attention scores, and each layer scores its own cache. To our knowledge,…
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OneBench interpretation
Institutional assessment
So what
Optimizing KV-cache eviction via mid-depth layer scoring reduces inference costs and memory overhead for enterprise long-context document processing.
Do what
Review context-caching efficiency and eviction strategies with the team responsible for LLM infrastructure architecture.