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MReD: A Meta-Review Dataset for Controllable Text Generation., , , , , и . CoRR, (2021)Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization., , , , и . EMNLP (Findings), стр. 4215-4233. Association for Computational Linguistics, (2023)SentBS: Sentence-level Beam Search for Controllable Summarization., , , , и . EMNLP, стр. 10256-10265. Association for Computational Linguistics, (2022)MReD: A Meta-Review Dataset for Structure-Controllable Text Generation., , , , , и . ACL (Findings), стр. 2521-2535. Association for Computational Linguistics, (2022)A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization., , , , и . EMNLP (Findings), стр. 5872-5887. Association for Computational Linguistics, (2023)Are Large Language Models Good Evaluators for Abstractive Summarization?, , , и . CoRR, (2023)Overview of Argumentative Text Understanding for AI Debater Challenge., , , , , , , , , и 3 other автор(ы). NLPCC (2), том 13029 из Lecture Notes in Computer Science, стр. 548-568. Springer, (2021)