Papers with left-to-right transformer model

1 papers
Mask-Predict: Parallel Decoding of Conditional Masked Language Models (D19-1)

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Challenge: a masked language model is used to train a model to predict subsets of mangled words . a parallel decoding algorithm can be used to generate translations in a constant number of iterations.
Approach: They propose a model and a parallel decoding algorithm which train a machine to predict any subset of target words . they introduce conditional masked language models (CMLMs) which are trained with a mangled language model objective .
Outcome: The proposed model improves state-of-the-art performance levels for non-autoregressive and parallel decoding models by over 4 BLEU on average.

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