{
  "id": 17905440,
  "title": "Character-Name Concentration in LLM Fiction: Measuring Displacement and Mitigating Repetition",
  "url": "https://urgent.news/2026/10/31/character-name-concentration-in-llm-fiction-measuring-displacement",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-31T21:36:29.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.01284v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Character names in large language model (LLM) fiction concentrate on a handful of recurrent names such as 'Elara' and 'Elias', a measurable face of AI slop. Existing fixes either require logit access or retraining, or operate per request and cannot control concentration across a corpus. How much prompt-level strategies reduce concentration, and at what cost to name naturalness, has not been…",
  "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."
}