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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization, , , and . (2019)SMART: Sentences as Basic Units for Text Evaluation., , , and . CoRR, (2022)Get To The Point: Summarization with Pointer-Generator Networks., , and . ACL (1), page 1073-1083. Association for Computational Linguistics, (2017)Assessing The Factual Accuracy of Generated Text., , , and . KDD, page 166-175. ACM, (2019)Online and Linear-Time Attention by Enforcing Monotonic Alignments., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2837-2846. PMLR, (2017)Out-of-Distribution Detection and Selective Generation for Conditional Language Models., , , , , , and . ICLR, OpenReview.net, (2023)SMART: Sentences as Basic Units for Text Evaluation., , , and . ICLR, OpenReview.net, (2023)Unsupervised Pretraining for Sequence to Sequence Learning., , and . EMNLP, page 383-391. Association for Computational Linguistics, (2017)PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 11328-11339. PMLR, (2020)Investigating Efficiently Extending Transformers for Long Input Summarization., , and . CoRR, (2022)