Patrick Fernandes

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Machine Translation

Text Summarization

Brazilian Portuguese

Top Venues

Publications

Sweta Agrawal, M. Amin Farajian, Patrick Fernandes, Ricardo Rei, André F. T. Martins
Is Context Helpful for Chat Translation Evaluation? CoRR (2024)
Duarte M. Alves, José Pombal, Nuno Miguel Guerreiro, Pedro Henrique Martins, João Alves, M. Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, Pierre Colombo, José G. C. de Souza, André F. T. Martins
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks. CoRR (2024)
Manuel Faysse, Patrick Fernandes, Nuno M. Guerreiro, António Loison, Duarte M. Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo
CroissantLLM: A Truly Bilingual French-English Language Model. CoRR (2024)
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT (2023)
Markus Freitag, Behrooz Ghorbani, Patrick Fernandes
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. CoRR (2023)
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. ACL (Findings) (2023)
Sumire Honda, Patrick Fernandes, Chrysoula Zerva
Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues. CoRR (2023)
Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat
Scaling Laws for Multilingual Neural Machine Translation. ICML (2023)
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. CoRR (2023)
Markus Freitag, Behrooz Ghorbani, Patrick Fernandes
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. EMNLP (Findings) (2023)
Miguel Moura Ramos, Patrick Fernandes, António Farinhas, André F. T. Martins
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. CoRR (2023)
Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR (2023)
Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. Trans. Assoc. Comput. Linguistics 11 (2023)
Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. EACL (Findings) (2023)
Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat
Scaling Laws for Multilingual Neural Machine Translation. CoRR (2023)
Patrick Fernandes, Kayo Yin, Emmy Liu, André Martins, Graham Neubig
When Does Translation Require Context? A Data-driven, Multilingual Exploration. ACL (1) (2023)
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR (2023)
Brian Yan, Jiatong Shi, Yun Tang, Hirofumi Inaguma, Yifan Peng, Siddharth Dalmia, Peter Polak, Patrick Fernandes, Dan Berrebbi, Tomoki Hayashi, Xiaohui Zhang, Zhaoheng Ni, Moto Hira, Soumi Maiti, Juan Pino, Shinji Watanabe
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. ACL (demo) (2023)
Brian Yan, Jiatong Shi, Yun Tang, Hirofumi Inaguma, Yifan Peng, Siddharth Dalmia, Peter Polák, Patrick Fernandes, Dan Berrebbi, Tomoki Hayashi, Xiaohui Zhang, Zhaoheng Ni, Moto Hira, Soumi Maiti, Juan Pino, Shinji Watanabe
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. CoRR (2023)
Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR (2022)
Brian Yan, Patrick Fernandes, Siddharth Dalmia, Jiatong Shi, Yifan Peng, Dan Berrebbi, Xinyi Wang, Graham Neubig, Shinji Watanabe
CMU's IWSLT 2022 Dialect Speech Translation System. IWSLT@ACL (2022)
Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André Martins, Graham Neubig
Learning to Scaffold: Optimizing Model Explanations for Teaching. NeurIPS (2022)
Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins
Quality-Aware Decoding for Neural Machine Translation. CoRR (2022)
Marcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins
Predicting Attention Sparsity in Transformers. SPNLP@ACL (2022)
Ana C. Farinha, M. Amin Farajian, Marianna Buchicchio, Patrick Fernandes, José G. C. de Souza, Helena Moniz, André F. T. Martins
Findings of the WMT 2022 Shared Task on Chat Translation. WMT (2022)
Patrick Fernandes, António Farinhas, Ricardo Rei, José Guilherme Camargo de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins
Quality-Aware Decoding for Neural Machine Translation. NAACL-HLT (2022)
Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. CoRR (2022)
Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig
Do Context-Aware Translation Models Pay the Right Attention? CoRR (2021)
Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins
Measuring and Increasing Context Usage in Context-Aware Machine Translation. CoRR (2021)
Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig
Do Context-Aware Translation Models Pay the Right Attention? ACL/IJCNLP (1) (2021)
Kayo Yin, Patrick Fernandes, André F. T. Martins, Graham Neubig
When Does Translation Require Context? A Data-driven, Multilingual Exploration. CoRR (2021)
Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins
Measuring and Increasing Context Usage in Context-Aware Machine Translation. ACL/IJCNLP (1) (2021)
Marcos V. Treviso, António Góis, Patrick Fernandes, Erick R. Fonseca, André F. T. Martins
Predicting Attention Sparsity in Transformers. CoRR (2021)
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
Structured Neural Summarization. ICLR (Poster) (2019)
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
Structured Neural Summarization. CoRR (2018)
Cleiton Garcia, Patrick Fernandes, Patricia Davet, João Ladislau Lopes, Adenauer C. Yamin, Cláudio Fernando Resin Geyer
A Proposal Based on IoT for Social Inclusion of People with Visual Impairment. WebMedia (2017)