{
  "id": 2279132,
  "title": "Learning When to Think: Adaptive Reasoning for Test-Time Compute Allocation",
  "url": "https://urgent.news/2026/08/20/learning-when-to-think-adaptive-reasoning-for-test-time-compute",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-20T16:54:08.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.20256v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reasoning language models trained with reinforcement learning typically operate under a fixed token budget rather than an explicitly adaptive one, which can lead to over-computation on easy problems and insufficient computation on difficult ones. We study whether a model can learn to allocate its own reasoning effort by choosing, as the first token of its response, one of three modes:…",
  "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."
}