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Transformers with Learnable Activation Functions., , , и . CoRR, (2022)Towards Debiasing NLU Models from Unknown Biases., , и . EMNLP (1), стр. 7597-7610. Association for Computational Linguistics, (2020)Adaptable adapters, , , и . arXiv preprint arXiv:2205.01549, (2022)Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization., , , и . NAACL-HLT, стр. 2763-2776. Association for Computational Linguistics, (2022)Stay Together: A System for Single and Split-antecedent Anaphora Resolution., , , и . NAACL-HLT, стр. 4174-4184. Association for Computational Linguistics, (2021)Transformers with Learnable Activation Functions., , , и . EACL (Findings), стр. 2337-2353. Association for Computational Linguistics, (2023)COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data., , и . AAAI, стр. 6932-6939. AAAI Press, (2019)Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models., , и . *SEM@ACL, стр. 477-493. Association for Computational Linguistics, (2023)Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust?, , и . COLING, стр. 3401-3411. International Committee on Computational Linguistics, (2022)The Universal Anaphora Scorer., , , , , и . LREC, стр. 4873-4883. European Language Resources Association, (2022)