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Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection., , , , , , , , and . CoRR, (2023)Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization., , , , , , and . LREC/COLING, page 11944-11955. ELRA and ICCL, (2024)Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding., , , , , , , , , and 2 other author(s). CoRR, (2022)Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation., , , , , , , , and . EMNLP, page 16705-16720. Association for Computational Linguistics, (2023)YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker., , , , , , , , , and . CoRR, (2021)Towards More Effective and Economic Sparsely-Activated Model., , , , , , , , , and 7 other author(s). CoRR, (2021)Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning., , , , , , , , , and . ACL (Findings), page 2347-2367. Association for Computational Linguistics, (2023)Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM., , , , , , and . CoRR, (2024)Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining., , , , , , , , and . EMNLP, page 14606-14620. Association for Computational Linguistics, (2023)IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions., , , , , , , and . EMNLP, page 1-14. Association for Computational Linguistics, (2023)