{
  "id": "generated-knowledge-prompting",
  "code": "PTL-0044",
  "term": "Generated Knowledge Prompting",
  "aliases": [],
  "category": "reasoning",
  "definition": "Generated knowledge prompting first asks the model to produce relevant facts about a question, then supplies those generated facts as context when answering it.",
  "description": "It acts like retrieval from the model's own parametric knowledge, and improved commonsense reasoning benchmarks in the original study.",
  "example": null,
  "broader": [],
  "narrower": [],
  "related": [
    "step-back-prompting",
    "retrieval-augmented-generation"
  ],
  "introduced": 2021,
  "sources": [
    {
      "title": "Generated Knowledge Prompting for Commonsense Reasoning",
      "authors": "Liu et al.",
      "year": 2021,
      "url": "https://arxiv.org/abs/2110.08387"
    }
  ],
  "url": "https://protologue.com/t/generated-knowledge-prompting/",
  "citation": "Protologue. (2026). Generated Knowledge Prompting. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0044). https://protologue.com/t/generated-knowledge-prompting/"
}