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Related Papers

Improved Natural Language Generation via Loss Truncation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNeural language models are usually trained to match the distributional properties of large-scale corpora by minimizing the log loss. While straightforward to optimize, this approach forces the model to reproduce …...

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