Self-Consistency Improves Chain of Thought Reasoning in Language Models
by Google Brain · free · Last verified 2026-03-17
Introduced self-consistency, a decoding strategy that samples diverse reasoning paths from a language model and returns the most consistent answer by marginalizing out the reasoning paths. Self-consistency is a simple, training-free technique that substantially improves chain-of-thought prompting across arithmetic and commonsense reasoning tasks.
https://arxiv.org/abs/2203.11171 ↗B+
B+—Good
Adoption: A+Quality: A+Freshness: B+Citations: A+Engagement: F
Specifications
- License
- Open Access
- Pricing
- free
- Capabilities
- answer-aggregation, reasoning-diversity, ensemble-decoding
- Integrations
- Use Cases
- arithmetic-reasoning, commonsense-qa, reasoning-accuracy-improvement
- API Available
- No
- Tags
- self-consistency, chain-of-thought, reasoning, ensemble, sampling
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
76.7Adoption
90
Quality
91
Freshness
73
Citations
90
Engagement
0
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