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Structure-informed Language Models Are Protein Designers.

, , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42317-42338. PMLR, (2023)

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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)VOLT: Improving Vocabularization via Optimal Transport for Machine Translation., , , , and . CoRR, (2020)Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation., , , , , and . IJCNLP (Findings), page 161-170. Association for Computational Linguistics, (2023)Duplex Sequence-to-Sequence Learning for Reversible Machine Translation., , , , , and . NeurIPS, page 21070-21084. (2021)Toward Making the Most of Context in Neural Machine Translation., , , , and . CoRR, (2020)Deep Equilibrium Non-Autoregressive Sequence Learning., , and . ACL (Findings), page 11763-11781. Association for Computational Linguistics, (2023)A User Satisfaction Survey for Chinese Tractors Based on Attitude Index of Product Attributes., , , and . AHFE (23), volume 607 of Advances in Intelligent Systems and Computing, page 337-349. Springer, (2017)Dynamic Past and Future for Neural Machine Translation., , , , and . CoRR, (2019)Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective., , , , and . CoRR, (2019)Neural Machine Translation with Word Predictions., , , , and . CoRR, (2017)