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PaperLLMsv1.0

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

by Google Brain · free · Last verified 2026-03-17

Introduced chain-of-thought prompting, a simple technique of providing exemplars with step-by-step reasoning traces in few-shot prompts. This approach dramatically improves LLM performance on arithmetic, commonsense, and symbolic reasoning tasks, with the effect emerging at approximately 100B parameters.

https://arxiv.org/abs/2201.11903
A
AGreat
Adoption: A+Quality: A+Freshness: B+Citations: A+Engagement: F

Specifications

License
Open Access
Pricing
free
Capabilities
arithmetic-reasoning, commonsense-reasoning, symbolic-reasoning, multi-step-reasoning
Integrations
Use Cases
mathematical-problem-solving, reasoning-tasks, prompt-engineering
API Available
No
Tags
chain-of-thought, reasoning, prompting, arithmetic, commonsense
Added
2026-03-17
Completeness
100%

Index Score

82.1
Adoption
97
Quality
95
Freshness
72
Citations
97
Engagement
0

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