Self-Consistency Voting for Uncertain Answers
A single sampled answer hides how stable it is. Self-consistency asks the same question several times and compares the results: when the samples agree, confidence is real, and when they scatter, the task is uncertain regardless of how fluent any one answer looked. This skill covers running several independent samples, voting on the agreeing answer, treating disagreement as a signal to abstain or escalate, and not confusing a majority for the truth when every sample is wrong in the same way.
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Agreement Is the Signal, Not the Answer
Self-Consistency Voting for Uncertain Answers# Agreement Is the Signal, Not the Answer One sampled answer tells you what the model said, not how stable that answer is. Sampling the same question several times separates the two: when the samples agree, the answer is likely grounded, and when they scatter, the task is uncertain no matter how fl
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