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