Papers with news-headline-generation task

1 papers
Frustratingly Easy Model Ensemble for Abstractive Summarization (D18-1)

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Challenge: Existing studies on compressing or distilling ensemble models have shown that they increase computational costs and reduce performance.
Approach: They propose an unsupervised method that combines multiple models by selecting a majority-like output in post-processing.
Outcome: The proposed method performs better than the current ensemble methods on a news-headline-generation task.

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