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Discourse Understanding and Factual Consistency in Abstractive Summarization.

, , , , , , , and . EACL, page 435-447. Association for Computational Linguistics, (2021)

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Don't Stop Pretraining: Adapt Language Models to Domains and Tasks, , , , , , and . (2020)cite arxiv:2004.10964Comment: ACL 2020.Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities., , , , , and . NeurIPS, (2022)ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts., , , , , , , , , and . EMNLP (Demos), page 200-213. Association for Computational Linguistics, (2022)Ontology alignment in the biomedical domain using entity definitions and context., , , , , and . BioNLP, page 47-55. Association for Computational Linguistics, (2018)LIMEADE: From AI Explanations to Advice Taking., , , and . ACM Trans. Interact. Intell. Syst., 13 (4): 24:1-24:29 (December 2023)TREC-COVID: constructing a pandemic information retrieval test collection., , , , , , , , and . SIGIR Forum, 54 (1): 1:1-1:12 (2020)Explaining Relationships Between Scientific Documents., , , , , and . ACL/IJCNLP (1), page 2130-2144. Association for Computational Linguistics, (2021)FABLES: Evaluating faithfulness and content selection in book-length summarization., , , , , , , and . CoRR, (2024)Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience., , , and . CHI, page 14:1-14:26. ACM, (2024)The Semantic Reader Project., , , , , , , , , and 45 other author(s). Commun. ACM, 67 (10): 50-61 (October 2024)