Practice · Established · Advanced
Self-Consistency
Sampling several independent reasoning paths for the same question and taking the most common answer.
What Self-Consistency is
Because sampling is stochastic, a model can reach the right answer by different routes. Agreement across routes is a useful proxy for correctness.
How it works
Generate n completions at non-zero temperature, extract the final answers, and pick the majority. Cost scales linearly with n, so it is reserved for high-value questions.
Why it matters
It is one of the simplest reliability upgrades available for reasoning tasks and needs no model changes.
Common uses
- →Maths and logic evaluation
- →High-stakes extraction
- →Confidence estimation
Strengths
- ✓Meaningful accuracy improvement
- ✓Gives a rough confidence signal
Watch for
- ✓Multiplies cost and latency
- ✓Majority can be confidently wrong
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