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The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

P. Fernandes, D. Deutsch, M. Finkelstein, P. Riley, A. Martins, G. Neubig, A. Garg, J. Clark, M. Freitag, and O. Firat. WMT, page 1066-1083. Association for Computational Linguistics, (2023)

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Alfredo Fernandes

Marcel Fernandes

Tomas Fernandes

Mario Fernandes

Paulo Fernandes

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Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation.P. Fernandes, A. Madaan, E. Liu, A. Farinhas, P. Martins, A. Bertsch, J. de Souza, S. Zhou, T. Wu, G. Neubig and 1 other author(s). CoRR, (2023)When Does Translation Require Context? A Data-driven, Multilingual Exploration.K. Yin, P. Fernandes, A. Martins, and G. Neubig. CoRR, (2021)Quality-Aware Decoding for Neural Machine Translation.P. Fernandes, A. Farinhas, R. Rei, J. de Souza, P. Ogayo, G. Neubig, and A. Martins. NAACL-HLT, page 1396-1412. Association for Computational Linguistics, (2022)A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models.J. Sun, P. Fernandes, X. Wang, and G. Neubig. EACL (Findings), page 1680-1690. Association for Computational Linguistics, (2023)Learning to Scaffold: Optimizing Model Explanations for Teaching.P. Fernandes, M. Treviso, D. Pruthi, A. Martins, and G. Neubig. NeurIPS, (2022)The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.P. Fernandes, D. Deutsch, M. Finkelstein, P. Riley, A. Martins, G. Neubig, A. Garg, J. Clark, M. Freitag, and O. Firat. WMT, page 1066-1083. Association for Computational Linguistics, (2023)Is Context Helpful for Chat Translation Evaluation?S. Agrawal, M. Farajian, P. Fernandes, R. Rei, and A. Martins. CoRR, (2024)Aligning Neural Machine Translation Models: Human Feedback in Training and Inference.M. Ramos, P. Fernandes, A. Farinhas, and A. Martins. CoRR, (2023)A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models.J. Sun, P. Fernandes, X. Wang, and G. Neubig. CoRR, (2022)Predicting Attention Sparsity in Transformers.M. Treviso, A. Góis, P. Fernandes, E. Fonseca, and A. Martins. SPNLP@ACL, page 67-81. Association for Computational Linguistics, (2022)

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Disambiguation of "Fernandes, Patrick"

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The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Please choose a person to relate this publication to

Alfredo Fernandes

Marcel Fernandes

Tomas Fernandes

Mario Fernandes

Paulo Fernandes

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fernandes, Patrick"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Please choose a person to relate this publication to

Alfredo Fernandes

Marcel Fernandes

Tomas Fernandes

Mario Fernandes

Paulo Fernandes

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.