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ELI5: Long Form Question Answering.

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Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language, , , and . https://ai.facebook.com/blog/ai-self-supervised-learning-data2vec/, (2022)cite arxiv:2212.07525.Neural Network-based Word Alignment through Score Aggregation., , and . WMT, page 66-73. The Association for Computer Linguistics, (2016)Facebook FAIR's WMT19 News Translation Task Submission., , , , , and . WMT (2), page 314-319. Association for Computational Linguistics, (2019)Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks., , and . HLT-NAACL, page 210-220. The Association for Computational Linguistics, (2016)wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations., , , and . NeurIPS, (2020)Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1416-1429. PMLR, (2023)A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing., and . ACL, page 470-480. The Association for Computer Linguistics, (2011)Multilingual Speech Translation from Efficient Finetuning of Pretrained Models., , , , , , , , and . ACL/IJCNLP (1), page 827-838. Association for Computational Linguistics, (2021)Cloze-driven Pretraining of Self-attention Networks., , , , and . EMNLP/IJCNLP (1), page 5359-5368. Association for Computational Linguistics, (2019)Simple and Effective Noisy Channel Modeling for Neural Machine Translation., , and . EMNLP/IJCNLP (1), page 5695-5700. Association for Computational Linguistics, (2019)