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Multiscale Collaborative Deep Models for Neural Machine Translation.

, , , , , and . ACL, page 414-426. Association for Computational Linguistics, (2020)

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Deep Fusing Pre-trained Models into Neural Machine Translation., , , and . AAAI, page 11468-11476. AAAI Press, (2022)The Rise and Potential of Large Language Model Based Agents: A Survey., , , , , , , , , and 19 other author(s). CoRR, (2023)Secrets of RLHF in Large Language Models Part I: PPO, , , , , , , , , and 17 other author(s). (2023)Correct-and-Memorize: Learning to Translate from Interactive Revisions., , , , , and . IJCAI, page 5255-5263. ijcai.org, (2019)GRET: Global Representation Enhanced Transformer., , , , , , and . AAAI, page 9258-9265. AAAI Press, (2020)On Learning Universal Representations Across Languages., , , , , and . ICLR, OpenReview.net, (2021)Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation., , , , , and . ACL (1), page 7930-7944. Association for Computational Linguistics, (2022)Multiscale Collaborative Deep Models for Neural Machine Translation., , , , , and . ACL, page 414-426. Association for Computational Linguistics, (2020)Neural Machine Translation with Word Predictions., , , , and . EMNLP, page 136-145. Association for Computational Linguistics, (2017)AR: Auto-Repair the Synthetic Data for Neural Machine Translation., , , , , and . CoRR, (2020)