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Sparse Continuous Distributions and Fenchel-Young Losses., , , , , , and . CoRR, (2021)Aligning Neural Machine Translation Models: Human Feedback in Training and Inference., , , and . CoRR, (2023)Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation., , , , , , , , , and 1 other author(s). CoRR, (2023)Quality-Aware Decoding for Neural Machine Translation., , , , , , and . NAACL-HLT, page 1396-1412. Association for Computational Linguistics, (2022)Sparse and Continuous Attention Mechanisms., , , , , and . NeurIPS, (2020)Non-Exchangeable Conformal Risk Control., , , and . CoRR, (2023)Sparse Continuous Distributions and Fenchel-Young Losses., , , , , , and . J. Mach. Learn. Res., (2022)Multimodal Continuous Visual Attention Mechanisms., , and . ICCVW, page 1047-1056. IEEE, (2021)Sparse Communication via Mixed Distributions., , , and . ICLR, OpenReview.net, (2022)Sparse Communication via Mixed Distributions., , , and . CoRR, (2021)