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Focus Attention: Promoting Faithfulness and Diversity in Summarization (2021.acl-long)

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Challenge: Currently, document summarization is challenging even for humans.
Approach: They propose a focus attention mechanism which encourages decoders to generate tokens that are topically similar to the input document.
Outcome: The proposed method outperforms top-k and nucleus sampling methods on the BBC extreme summarization task and is more accurate than focus attention-based models.

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