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Exploring the Potential of Large Language Models in Computational Argumentation., , , and . CoRR, (2023)Are Large Language Models Good Evaluators for Abstractive Summarization?, , , and . CoRR, (2023)Route leakage detection algorithm based on new feature discovery., , and . ICCIP, page 222-226. ACM, (2018)Overview of Argumentative Text Understanding for AI Debater Challenge., , , , , , , , , and 3 other author(s). NLPCC (2), volume 13029 of Lecture Notes in Computer Science, page 548-568. Springer, (2021)Is GPT-4 a Good Data Analyst?, , and . EMNLP (Findings), page 9496-9514. Association for Computational Linguistics, (2023)ENT-DESC: Entity Description Generation by Exploring Knowledge Graph., , , , , , and . EMNLP (1), page 1187-1197. Association for Computational Linguistics, (2020)Segmentation of lung parenchyma based on new U-NET network., , , , and . Int. J. Wirel. Mob. Comput., 23 (2): 173-182 (2022)MReD: A Meta-Review Dataset for Structure-Controllable Text Generation., , , , , and . ACL (Findings), page 2521-2535. Association for Computational Linguistics, (2022)A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization., , , , and . EMNLP (Findings), page 5872-5887. Association for Computational Linguistics, (2023)APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning., , , , and . EMNLP (1), page 7000-7011. Association for Computational Linguistics, (2020)