Papers with model-level distillation process

1 papers
Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data (2020.emnlp-main)

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Challenge: Existing research has focused on training open-domain dialogue models using unpaired data.
Approach: They propose a data-level distillation method for training open-domain dialogue models by utilizing unpaired data.
Outcome: The proposed method produces high-quality dialogue pairs with diverse contents, and can improve competitive baselines.

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