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Dictionary

Self-Consistency

Sampling multiple answers and picking the majority to reduce errors.

1 min readupdated 2026-07-04

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Self-consistency runs the same prompt N times at temperature > 0 and aggregates. Cheap way to boost accuracy on reasoning tasks without changing the model. Sampling multiple answers and picking the majority to reduce errors.

Sampling multiple answers and picking the majority to reduce errors. Self-consistency runs the same prompt N times at temperature > 0 and aggregates. Cheap way to boost accuracy on reasoning tasks without changing the model. In practice: A math tutor asks the model 5 times and returns the most common answer.
Definition
Self-consistency runs the same prompt N times at temperature > 0 and aggregates. Cheap way to boost accuracy on reasoning tasks without changing the model.
Example
A math tutor asks the model 5 times and returns the most common answer.

/ frequently asked

What is Self-Consistency?

Self-consistency runs the same prompt N times at temperature > 0 and aggregates. Cheap way to boost accuracy on reasoning tasks without changing the model.

What is an example of Self-Consistency?

A math tutor asks the model 5 times and returns the most common answer.

Why does Self-Consistency matter?

Sampling multiple answers and picking the majority to reduce errors.

What should I learn after Self-Consistency?

Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.

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Related concepts

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