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Improving Joint Training of Inference Networks and Structured Prediction Energy Networks., , и . CoRR, (2019)Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning., , , , , , и . EACL (Findings), стр. 1278-1294. Association for Computational Linguistics, (2024)Quality Signals in Generated Stories., , , и . *SEM@NAACL-HLT, стр. 192-202. Association for Computational Linguistics, (2018)Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task., , и . ACL (2), стр. 616-622. Association for Computational Linguistics, (2017)Learning Approximate Inference Networks for Structured Prediction., и . ICLR (Poster), OpenReview.net, (2018)Improving Joint Training of Inference Networks and Structured Prediction Energy Networks., , и . SPNLP@EMNLP, стр. 62-73. Association for Computational Linguistics, (2020)Generating Diverse Story Continuations with Controllable Semantics., , , и . NGT@EMNLP-IJCNLP, стр. 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., , и . EMNLP (Findings), стр. 5478-5485. Association for Computational Linguistics, (2022)Commonsense Knowledge Base Completion., , , и . ACL (1), The Association for Computer Linguistics, (2016)