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Abstractive Summarizers are Excellent Extractive Summarizers.

, and . ACL (2), page 330-339. Association for Computational Linguistics, (2023)

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Text Summarization with Latent Queries., and . CoRR, (2021)Generating Query Focused Summaries from Query-Free Resources., and . ACL/IJCNLP (1), page 6096-6109. Association for Computational Linguistics, (2021)QTSumm: Query-Focused Summarization over Tabular Data., , , , , , , , , and 2 other author(s). EMNLP, page 1157-1172. Association for Computational Linguistics, (2023)Meta Dialogue Policy Learning., , , and . CoRR, (2020)QTSumm: A New Benchmark for Query-Focused Table Summarization., , , , , , , , , and 1 other author(s). CoRR, (2023)Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models., , , , , , , , and . CoRR, (2024)RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering., , , , , , , , and . CoRR, (2024)Text Summarization with Oracle Expectation., and . CoRR, (2022)Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks., , and . EACL (1), page 1701-1722. Association for Computational Linguistics, (2024)Stock Movement Prediction from Tweets and Historical Prices., and . ACL (1), page 1970-1979. Association for Computational Linguistics, (2018)