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Truncation Samplers Are Nested: Comparing Decoding Rules Is a Measurement Problem

Khanbayov, Rasul et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Settling one comparison between two truncation samplers has cost six thousand A100-hours, and nothing says in advance how far apart two samplers can be. We observe that almost every deployed truncation rule keeps a prefix of the probability-sorted vocabulary, so any two such rules are nested at ever
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