{
  "id": 10589387,
  "title": "Overwhelmed by Choice: Studying LLM Decision Making at Scale",
  "url": "https://urgent.news/2026/09/26/overwhelmed-by-choice-studying-llm-decision-making-at-scale",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-26T17:33:04.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.32809v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Multiple-choice and candidate-selection evaluations are widely used to assess LLM reasoning and decision-making, yet most benchmarks contain relatively small candidate sets. It remains unclear whether conclusions drawn from these settings remain valid as the candidate space scales. We systematically evaluate LLMs as the number of competing candidates increases and find substantial accuracy…",
  "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."
}