{
  "id": 16828112,
  "title": "DCKV: Learned Transform Coding of the Prompt KV Cache in Hybrid Language Models",
  "url": "https://urgent.news/2026/10/27/dckv-learned-transform-coding-of-the-prompt-kv-cache-in-hybrid",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-27T10:11:04.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.36950v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Hybrid language models keep a key-value (KV) cache only in their few full-attention layers, but this cache is still the part of a prompt's state that grows with the prompt and that must be stored or moved to reuse it. We present DCKV, a differentiable codec for the KV cache and the first KV-cache codec that is trained end to end. Its transform, its quantizer and its entropy models, which are…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}