{
  "id": "self-discover",
  "code": "PTL-0037",
  "term": "Self-Discover",
  "aliases": [],
  "category": "reasoning",
  "definition": "Self-Discover has the model compose a task-specific reasoning structure by selecting, adapting, and combining general reasoning modules, such as critical thinking or step-by-step analysis, before solving instances of the task.",
  "description": "The structure is discovered once per task and then reused, so it costs far fewer inference calls than sampling-heavy methods like self-consistency.",
  "example": null,
  "broader": [],
  "narrower": [],
  "related": [
    "chain-of-thought",
    "meta-prompting"
  ],
  "introduced": 2024,
  "sources": [
    {
      "title": "Self-Discover: Large Language Models Self-Compose Reasoning Structures",
      "authors": "Zhou et al.",
      "year": 2024,
      "url": "https://arxiv.org/abs/2402.03620"
    }
  ],
  "url": "https://protologue.com/t/self-discover/",
  "citation": "Protologue. (2026). Self-Discover. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0037). https://protologue.com/t/self-discover/"
}