{
  "id": 158346,
  "title": "Interpretable Adaptive Sampling for LLM Test-Time Scaling",
  "url": "https://urgent.news/2026/08/04/interpretable-adaptive-sampling-for-llm-test-time-scaling",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-04T17:27:21.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.03961v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Test-time scaling improves LLM reasoning by generating and aggregating multiple candidate answers, yet many pipelines use fixed per-query budgets that spend the same compute on easy and difficult prompts. These fixed budgets are also difficult to inspect because they do not explain why a given prompt receives a particular number of samples. We propose adaptive} test-time scaling with a…",
  "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."
}