{
  "id": 14385239,
  "title": "Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation",
  "url": "https://urgent.news/2026/10/13/where-do-llm-ensemble-gains-come-from-decomposing-candidate-value",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-13T17:36:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.18786v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "LLM ensemble gains are often measured against a single baseline, but the value attributed to additional candidates can change with the comparison used. We study an LLM aggregator under four matched conditions: Direct (no candidates), Single-slot (one candidate in a multi-slot interface), Duplicate (one candidate repeated), and Multi-candidate (separately generated candidates). Under either…",
  "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."
}