CAS trains composable per-document KV cache cartridges via dynamic distractor mixing and a rotating budget manager, scaling to million-token collections with 10-31 point gains over monolithic cartridges and matching RAG at 3-4x lower token cost.
arXiv preprint arXiv:2507.08143 , year=
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VaSE improves KV cache eviction accuracy for reasoning models by over 4% versus prior eviction methods at 4x compression through value-magnitude protection and stochastic diversity.
Document LoRA acts as decoding-time parametric memory that recovers 13-21 ROUGE-L points under heavy KV cache compression in QA, performing best when the base model encodes the document and the adapter is used only at generation with QA supervision.
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Value-Aware Stochastic KV Cache Eviction for Reasoning Models
VaSE improves KV cache eviction accuracy for reasoning models by over 4% versus prior eviction methods at 4x compression through value-magnitude protection and stochastic diversity.