{
  "id": "directional-stimulus-prompting",
  "code": "PTL-0079",
  "term": "Directional Stimulus Prompting",
  "aliases": [],
  "category": "optimization",
  "definition": "Directional stimulus prompting trains a small policy model to generate instance-specific hints, such as keywords, that are added to the prompt to steer a large frozen model toward desired outputs.",
  "description": "The policy model can be trained with supervised learning and reinforcement learning, without access to the large model's weights.",
  "example": null,
  "broader": [],
  "narrower": [],
  "related": [
    "prompt-tuning",
    "opro"
  ],
  "introduced": 2023,
  "sources": [
    {
      "title": "Guiding Large Language Models via Directional Stimulus Prompting",
      "authors": "Li et al.",
      "year": 2023,
      "url": "https://arxiv.org/abs/2302.11520"
    }
  ],
  "url": "https://protologue.com/t/directional-stimulus-prompting/",
  "citation": "Protologue. (2026). Directional Stimulus Prompting. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0079). https://protologue.com/t/directional-stimulus-prompting/"
}