{
  "id": 17905450,
  "title": "Concept-Guided Prompting Strategies Increase Diversity in LLM-Generated Recipe Populations",
  "url": "https://urgent.news/2026/10/31/concept-guided-prompting-strategies-increase-diversity-in-llm",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-31T18:15:04.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.01171v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Novelty in solution generation supports automated discovery, but LLM outputs can remain repetitive. To address this, we propose a simple concept-guided prompting method that generates thematic concepts before responses within each of these concepts. To demonstrate, we generated 1,000 recipes for a recipe book task and compared the results against a human-authored corpus. Two naive prompting…",
  "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."
}