Papers with multi-stage systems

1 papers
CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization (2022.coling-1)

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Challenge: Existing methods for extractive and abstractive summarization use token-level or sentence-level training objectives.
Approach: They propose a Contrastive Learning based re-ranking framework for one-stage summarization called CoLo.
Outcome: The proposed framework boosts extractive and abstractive results on CNN/DailyMail benchmarks while maintaining inference efficiency.

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