Unverified50% confidenceFactExact time
In AI evaluation, the probability that strict majority voting over N exchangeable runs still errs equals the binomial tail probability E(N, p) = P(Binomial(N, p) >= ceil(N/2)), where p is the probability that a single run errs.
1
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50%
Confidence
Long-term
Relevance
10/13/2026
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Related Claims
UnverifiedWhen the single-run error probability p=0.10, the error rate of strict majority voting is 0.02800 for N=3, 0.00856 for N=5, and 0.000147 for N=10.75% similarUnverifiedIn the Best-of-N strategy, if the probability of success in a single sample is p, then the probability of at least one success in N independent samples is 1-(1-p)^N, which approaches 1 as N increases.73% similarUnverifiedThe residual distribution is defined as: for tokens where the target model probability p(x) is greater than the draft model probability q(x), the residual probability is proportional to max(0, p(x) - q(x)).72% similarUnverifiedThe verification process in traditional speculative decoding accepts draft-proposed tokens with probability min(1, p(x)/q(x)), and upon rejection resamples from the corrected distribution norm(max(0, p(x)-q(x))), which can be proven to produce a token distribution identical to directly sampling from the target model (lossless).71% similarUnverifiedConfidence is typically represented by the product of per-token probabilities or the sum of their logarithms.70% similar
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