Papers with Knowledge distillation techniques

1 papers
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application (2021.findings-emnlp)

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Challenge: Existing language models are pre-trained and distilled on general corpus like Wikipedia, which has gaps with the news domain and may be suboptimal for news intelligence.
Approach: They propose a method to distill existing language models on Wikipedia to enable efficient news intelligence.
Outcome: The proposed model can be used to build and test a news intelligence application on Wikipedia and Wikipedia.

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