Papers with Text summarization tasks

1 papers
AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference (2024.findings-emnlp)

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Challenge: Text summarization tasks employ Pre-trained Language Models (PLMs) to fit diverse datasets.
Approach: They propose a human summarization preference alignment framework to align PLMs with human preferences.
Outcome: The proposed framework narrows the gap between automatic and human evaluations by integrating three components.

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