{
  "id": "multi-agent-debate",
  "code": "PTL-0051",
  "term": "Multi-Agent Debate",
  "aliases": [
    "LLM debate",
    "society of minds"
  ],
  "category": "verification",
  "definition": "Multi-agent debate has several model instances propose answers, read each other's reasoning, and revise their answers over multiple rounds until they converge.",
  "description": "Du et al. found that debate improved mathematical reasoning and factual accuracy over single-model answers.",
  "example": null,
  "broader": [],
  "narrower": [],
  "related": [
    "mixture-of-agents",
    "self-consistency"
  ],
  "introduced": 2023,
  "sources": [
    {
      "title": "Improving Factuality and Reasoning in Language Models through Multiagent Debate",
      "authors": "Du et al.",
      "year": 2023,
      "url": "https://arxiv.org/abs/2305.14325"
    }
  ],
  "url": "https://protologue.com/t/multi-agent-debate/",
  "citation": "Protologue. (2026). Multi-Agent Debate. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0051). https://protologue.com/t/multi-agent-debate/"
}