{
  "id": 15838727,
  "title": "Adaptive Multi-Token Prediction: How far should we go?",
  "url": "https://urgent.news/2026/10/20/adaptive-multi-token-prediction-how-far-should-we-go",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-20T17:56:32.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.28619v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Multi-token prediction (MTP) can accelerate language-model decoding by drafting several tokens and verifying them in a single target-model pass. However, the best speculation horizon changes with context: longer drafts offer greater amortization when reliable, but can waste compute on suffixes discarded after a rejection. Unlike autoregressive drafting, where a stopping rule can decide token by…",
  "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."
}