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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)Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP.. CoRR, (2021)Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models., , and . EMNLP (Findings), page 5478-5485. Association for Computational Linguistics, (2022)ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation., , , and . ACL, page 2819-2826. Association for Computational Linguistics, (2020)Commonsense Knowledge Base Completion., , , and . ACL (1), The Association for Computer Linguistics, (2016)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)