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Controllable Abstractive Summarization.

, , and . NMT@ACL, page 45-54. Association for Computational Linguistics, (2018)

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Generative Question Answering: Learning to Answer the Whole Question., and . ICLR (Poster), OpenReview.net, (2019)Training with Quantization Noise for Extreme Model Compression., , , , , , and . ICLR, OpenReview.net, (2021)ELI5: Long Form Question Answering., , , , , and . ACL (1), page 3558-3567. Association for Computational Linguistics, (2019)Hierarchical Neural Story Generation., , and . ACL (1), page 889-898. Association for Computational Linguistics, (2018)Training with Quantization Noise for Extreme Model Compression, , , , , , and . (2020)cite arxiv:2004.07320.Pay Less Attention with Lightweight and Dynamic Convolutions., , , , and . ICLR, OpenReview.net, (2019)AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas., , , , , , , , , and 8 other author(s). Frontiers Artif. Intell., (2022)Augmenting Transformers with KNN-Based Composite Memory for Dialogue., , , and . CoRR, (2020)Large Language Models for Software Engineering: Survey and Open Problems., , , , , , and . ICSE-FoSE, page 31-53. IEEE, (2023)fairseq: A Fast, Extensible Toolkit for Sequence Modeling., , , , , , , and . NAACL-HLT (Demonstrations), page 48-53. Association for Computational Linguistics, (2019)