Improved Language Modeling by Decoding the Past

doi:doi:10.57702/fskxprc7

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Improved Language Modeling by Decoding the Past

Highly regularized LSTMs achieve impressive results on several benchmark datasets in language modeling. We propose a new regularization method based on decoding the last token in the context using the predicted distribution of the next token.

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Siddhartha Brahma (2024). Dataset: Improved Language Modeling by Decoding the Past. https://doi.org/10.57702/fskxprc7

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1808.05908
Author	Siddhartha Brahma
Homepage	https://arxiv.org/abs/1809.06858