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On Improving Summarization Factual Consistency from Natural Language Feedback.

, , , , , and . ACL (1), page 15144-15161. Association for Computational Linguistics, (2023)

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Discovering Latent Semantic Structure in Human Mobility Traces., and . EWSN, volume 8965 of Lecture Notes in Computer Science, page 84-103. Springer, (2015)Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents., , , , , , , , and . ACL (1), page 1592-1604. Association for Computational Linguistics, (2022)What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization., , , , , , , , , and . ACL (1), page 10520-10542. Association for Computational Linguistics, (2023)Leveraging periodicity in human mobility for next place prediction., , , , and . WCNC, page 2665-2670. IEEE, (2014)Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models., , , , , , , , and . ACL (Findings), page 1762-1773. Association for Computational Linguistics, (2023)STREAM: Sensor Topology Retrieval at Multiple Resolutions., , and . Telecommun. Syst., 26 (2-4): 285-320 (2004)On Improving Summarization Factual Consistency from Natural Language Feedback., , , , , and . CoRR, (2022)Boosting Natural Language Generation from Instructions with Meta-Learning., , and . EMNLP, page 6792-6808. Association for Computational Linguistics, (2022)DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization., , , , , , , , , and . ACL (1), page 1687-1698. Association for Computational Linguistics, (2022)Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents., , , , , , , , and . CoRR, (2021)