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ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation.

, , , and . ACL, page 2819-2826. Association for Computational Linguistics, (2020)

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Learning Approximate Inference Networks for Structured Prediction., and . ICLR (Poster), OpenReview.net, (2018)Improving Joint Training of Inference Networks and Structured Prediction Energy Networks., , and . SPNLP@EMNLP, page 62-73. Association for Computational Linguistics, (2020)Generating Diverse Story Continuations with Controllable Semantics., , , and . NGT@EMNLP-IJCNLP, page 44-58. Association for Computational Linguistics, (2019)Improving Joint Training of Inference Networks and Structured Prediction Energy Networks., , and . CoRR, (2019)Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning., , , , , , and . EACL (Findings), page 1278-1294. Association for Computational Linguistics, (2024)Quality Signals in Generated Stories., , , and . *SEM@NAACL-HLT, page 192-202. Association for Computational Linguistics, (2018)Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task., , and . ACL (2), page 616-622. Association for Computational Linguistics, (2017)XGen-7B Technical Report., , , , , , , , , and 15 other author(s). CoRR, (2023)A Conversational Paradigm for Program Synthesis., , , , , , , and . CoRR, (2022)An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks., , and . EMNLP (1), page 5569-5582. Association for Computational Linguistics, (2020)