Analogical Prompting
Analogical prompting asks the model to recall or generate relevant example problems and their solutions on its own before solving the target problem, removing the need for hand-written exemplars.
Description
Inspired by how people draw on analogous past experience, the self-generated examples are tailored to each problem rather than fixed for the whole task.
Sources
- Yasunaga et al. (2023). Large Language Models as Analogical Reasoners.
Cite this entry
Protologue. (2026). Analogical Prompting. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0036). https://protologue.com/t/analogical-prompting/
BibTeX
@misc{protologue_analogical_prompting,
title = {Analogical Prompting},
author = {{Protologue}},
year = {2026},
howpublished = {Protologue: A Taxonomy of Prompting and LLM Techniques, v1.0.0},
note = {Entry PTL-0036},
url = {https://protologue.com/t/analogical-prompting/}
}