Papers with language-model GBN

1 papers
Generative Bridging Network for Neural Sequence Prediction (N18-1)

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Challenge: Existing approaches to improve the likelihood of sequence prediction models are based on MLE and teacher forcing.
Approach: They propose a Generative Bridging Network (GBN) that extends the point-wise ground truth to a bridge distribution conditioned on it and optimizes their KL-divergence.
Outcome: The proposed bridge module can improve on two recognized sequence prediction tasks and minimize learning burden.

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