Automatic Chain-of-Thought
Also called Auto-CoT.
Automatic chain-of-thought (Auto-CoT) builds chain-of-thought demonstrations without manual writing, by clustering questions for diversity and generating a reasoning chain for a representative of each cluster with zero-shot CoT.
Description
Diversity across clusters limits the damage from mistakes in any single generated chain, and the approach matched manually written CoT exemplars on several benchmarks.
Sources
- Zhang et al. (2022). Automatic Chain of Thought Prompting in Large Language Models.
Cite this entry
Protologue. (2026). Automatic Chain-of-Thought. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0027). https://protologue.com/t/auto-cot/
BibTeX
@misc{protologue_auto_cot,
title = {Automatic Chain-of-Thought},
author = {{Protologue}},
year = {2026},
howpublished = {Protologue: A Taxonomy of Prompting and LLM Techniques, v1.0.0},
note = {Entry PTL-0027},
url = {https://protologue.com/t/auto-cot/}
}