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Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning., , , , and . CoRR, (2023)VOLT: Improving Vocabularization via Optimal Transport for Machine Translation., , , , and . CoRR, (2020)Duplex Sequence-to-Sequence Learning for Reversible Machine Translation., , , , , and . NeurIPS, page 21070-21084. (2021)Should Tractors' Ergonomic Evaluation Index System in Different Life Cycle Stage be Different? A Delphi Survey Conducted in China., , , and . AHFE (4), volume 588 of Advances in Intelligent Systems and Computing, page 145-156. Springer, (2017)Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation., , , , , and . IJCNLP (Findings), page 161-170. Association for Computational Linguistics, (2023)Improving Self-Attention Networks With Sequential Relations., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)DirectQE: Direct Pretraining for Machine Translation Quality Estimation., , , , , , and . AAAI, page 12719-12727. AAAI Press, (2021)Structure-informed Language Models Are Protein Designers., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42317-42338. PMLR, (2023)Vocabulary Learning via Optimal Transport for Neural Machine Translation., , , , and . ACL/IJCNLP (1), page 7361-7373. Association for Computational Linguistics, (2021)Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization., , , , , and . CoRR, (2024)