Generated Knowledge Prompting
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.
Sources
- Liu et al. (2021). Generated Knowledge Prompting for Commonsense Reasoning.
Cite this entry
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/
BibTeX
@misc{protologue_generated_knowledge_prompting,
title = {Generated Knowledge Prompting},
author = {{Protologue}},
year = {2026},
howpublished = {Protologue: A Taxonomy of Prompting and LLM Techniques, v1.0.0},
note = {Entry PTL-0044},
url = {https://protologue.com/t/generated-knowledge-prompting/}
}