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Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose CoMem, a method that caches intermediate-layer states instead of full KV caches, enabling cheaper long-context processing.
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- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 8 October 2026
- Collected by OneBench
- 31 Jul 2026, 09:36 UK
Stored source excerpt
arXiv:2607.28263v1 Announce Type: new Abstract: Transformer depth is not used uniformly: lower and middle layers build semantic representations, while upper layers increasingly specialize them for…
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