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Nucleus Sampling
anchor
Findings
IC-1199
GPT-2 next-token distributions contain correctable tail errors from the softmax bottleneck that degrade generation quality under low-entropy sampling, with basis-aware threshold sampling improving MAUVE across all four sizes
[compared-to]
IC-1199
GPT-2 next-token distributions contain correctable tail errors from the softmax bottleneck that degrade generation quality under low-entropy sampling, with basis-aware threshold sampling improving MAUVE across all four sizes
[context]
IC-1200
GPT-2-XL's untruncated next-token log-probability matrix has rank saturating at its hidden dimensionality of 1600, while truncation sampling produces post-truncation distributions whose estimated rank grows far beyond 1600
[compared-to]
IC-1231
On APPS, released code generation models span pass@1 from 0.20 (GPT-3 175B) to 6.20 (CodeRL), with value-based and policy-based RL methods outperforming supervised baselines
[eval]