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Training with Quantization Noise for Extreme Model Compression, , , , , , и . (2020)cite arxiv:2004.07320.Pay Less Attention with Lightweight and Dynamic Convolutions., , , , и . ICLR, OpenReview.net, (2019)Generative Question Answering: Learning to Answer the Whole Question., и . ICLR (Poster), OpenReview.net, (2019)Controllable Abstractive Summarization., , и . NMT@ACL, стр. 45-54. Association for Computational Linguistics, (2018)fairseq: A Fast, Extensible Toolkit for Sequence Modeling., , , , , , , и . NAACL-HLT (Demonstrations), стр. 48-53. Association for Computational Linguistics, (2019)A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation., , , , , , , , , и 35 other автор(ы). NAACL-HLT, стр. 3053-3070. Association for Computational Linguistics, (2022)Training with Quantization Noise for Extreme Model Compression., , , , , , и . ICLR, OpenReview.net, (2021)Hierarchical Neural Story Generation., , и . ACL (1), стр. 889-898. Association for Computational Linguistics, (2018)Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations., , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 1103-1116. Association for Computational Linguistics, (2021)ELI5: Long Form Question Answering., , , , , и . ACL (1), стр. 3558-3567. Association for Computational Linguistics, (2019)