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Scaling Laws for Multilingual Neural Machine Translation.

, , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10053-10071. PMLR, (2023)

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A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models., , , и . EACL (Findings), стр. 1680-1690. Association for Computational Linguistics, (2023)Quality-Aware Decoding for Neural Machine Translation., , , , , , и . NAACL-HLT, стр. 1396-1412. Association for Computational Linguistics, (2022)The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation., , , , , , , , , и . WMT, стр. 1066-1083. Association for Computational Linguistics, (2023)Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation., , , , , , , , , и 1 other автор(ы). Trans. Assoc. Comput. Linguistics, (2023)Learning to Scaffold: Optimizing Model Explanations for Teaching., , , , и . NeurIPS, (2022)Aligning Neural Machine Translation Models: Human Feedback in Training and Inference., , , и . CoRR, (2023)Is Context Helpful for Chat Translation Evaluation?, , , , и . CoRR, (2024)Predicting Attention Sparsity in Transformers., , , , и . SPNLP@ACL, стр. 67-81. Association for Computational Linguistics, (2022)Scaling Laws for Multilingual Neural Machine Translation., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10053-10071. PMLR, (2023)Multi-Dimensional Evaluation of Text Summarization with In-Context Learning., , , , , , и . ACL (Findings), стр. 8487-8495. Association for Computational Linguistics, (2023)