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The Curious Case of Neural Text Degeneration
Ari Holtzman
,
Jan Buys
,
Li Du
,
Maxwell Forbes
,
Yejin Choi
2020 (modified: 18 Apr 2023)
ICLR 2020
Readers:
Everyone
Abstract:
Current language generation systems either aim for high likelihood and devolve into generic repetition or miscalibrate their stochasticity—we provide evidence of both and propose a solution: Nucleus Sampling.
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