Directional Stimulus Prompting
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.
Sources
- Li et al. (2023). Guiding Large Language Models via Directional Stimulus Prompting.
Cite this entry
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/
BibTeX
@misc{protologue_directional_stimulus_prompting,
title = {Directional Stimulus Prompting},
author = {{Protologue}},
year = {2026},
howpublished = {Protologue: A Taxonomy of Prompting and LLM Techniques, v1.0.0},
note = {Entry PTL-0079},
url = {https://protologue.com/t/directional-stimulus-prompting/}
}