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Improving the Robustness of Summarization Models by Detecting and Removing Input Noise.

, , , , , , and . EMNLP (Findings), page 1324-1336. Association for Computational Linguistics, (2023)

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer., , , , , , , , and . J. Mach. Learn. Res., (2020)Learning to Write Notes in Electronic Health Records.. CoRR, (2018)Investigating Efficiently Extending Transformers for Long Input Summarization., , and . CoRR, (2022)Scalable and accurate deep learning with electronic health records., , , , , , , , , and 25 other author(s). npj Digit. Medicine, (2018)Scalable and accurate deep learning for electronic health records., , , , , , , , , and 24 other author(s). CoRR, (2018)Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer., , , , , , , , and . CoRR, (2019)Online and Linear-Time Attention by Enforcing Monotonic Alignments., , , , and . CoRR, (2017)PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization, , , and . (2019)LiPO: Listwise Preference Optimization through Learning-to-Rank., , , , , , , , , and 2 other author(s). CoRR, (2024)SMART: Sentences as Basic Units for Text Evaluation., , , and . CoRR, (2022)