Verified75% confidenceFactExact time
Nucleus sampling (top-p) dynamically truncates the minimum set of tokens whose cumulative probability reaches p and samples from that set.
5
Sources
75%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
UnverifiedTop-p (nucleus sampling) filters out extremely low-probability outputs by truncating the long tail of the probability distribution.79% 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.67% similarUnverifiedA higher temperature value makes the model's output probability distribution smoother and increases randomness; Top-p sampling draws only from the smallest set of tokens whose cumulative probability reaches the threshold.66% similarUnverifiedNone of the combined models exceeded the parent model Pythia on multiple-choice accuracy; some combinations matched RWKV but could not reach the level of the original Pythia.65% 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).64% similar
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