Question 1

What is self-consistency majority vote?

Accepted Answer

A technique that generates multiple reasoning paths (samples) and selects the most common answer, improving accuracy over single-sample chain-of-thought.

Question 2

How is majority vote accuracy computed?

Accepted Answer

Using binomial probability: sum_{k=ceil(N/2)}^{N} C(N,k) * p^k * (1-p)^(N-k), where p is single-sample accuracy and N is number of samples.

Question 3

How do I find the optimal number of samples?

Accepted Answer

Increase N until the marginal accuracy gain per additional sample drops below 0.5% (or your threshold). The tool computes this automatically.

Self-Consistency Majority Vote

Majority accuracy (current N)

Required N for targets

Cost‑accuracy table

Comparison & break‑even