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Patrick Fernandes
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2020 – today
- 2024
- [j2]Sweta Agrawal, M. Amin Farajian, Patrick Fernandes, Ricardo Rei, André F. T. Martins:
Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions? Trans. Assoc. Comput. Linguistics 12: 1250-1267 (2024) - [c19]Miguel Moura Ramos, Patrick Fernandes, António Farinhas, André F. T. Martins:
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. EAMT (1) 2024: 258-274 - [c18]Sweta Agrawal, José Guilherme Camargo de Souza, Ricardo Rei, António Farinhas, Gonçalo Rui Alves Faria, Patrick Fernandes, Nuno Miguel Guerreiro, André Martins:
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation. EMNLP 2024: 14503-14519 - [c17]Ricardo Rei, José Pombal, Nuno Miguel Guerreiro, João Alves, Pedro Henrique Martins, Patrick Fernandes, Helena Wu, Tânia Vaz, Duarte M. Alves, M. Amin Farajian, Sweta Agrawal, António Farinhas, José Guilherme Camargo de Souza, André Martins:
Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task. WMT 2024: 185-204 - [i25]Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio F. 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 abs/2402.00786 (2024) - [i24]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 abs/2402.17733 (2024) - [i23]Sweta Agrawal, M. Amin Farajian
, Patrick Fernandes, Ricardo Rei, André F. T. Martins:
Is Context Helpful for Chat Translation Evaluation? CoRR abs/2403.08314 (2024) - [i22]Xi Xu, Siqi Ouyang, Brian Yan, Patrick Fernandes, William Chen, Lei Li, Graham Neubig, Shinji Watanabe:
CMU's IWSLT 2024 Simultaneous Speech Translation System. CoRR abs/2408.07452 (2024) - [i21]Haau-Sing Li, Patrick Fernandes, Iryna Gurevych, André F. T. Martins:
DOCE: Finding the Sweet Spot for Execution-Based Code Generation. CoRR abs/2408.13745 (2024) - [i20]Pedro Henrique Martins, Patrick Fernandes, João Alves, Nuno Miguel Guerreiro, Ricardo Rei, Duarte M. Alves, José Pombal, M. Amin Farajian, Manuel Faysse, Mateusz Klimaszewski, Pierre Colombo, Barry Haddow, José G. C. de Souza, Alexandra Birch, André F. T. Martins:
EuroLLM: Multilingual Language Models for Europe. CoRR abs/2409.16235 (2024) - [i19]Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Pakazad, Graham Neubig:
Better Instruction-Following Through Minimum Bayes Risk. CoRR abs/2410.02902 (2024) - [i18]Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Rui Alves Faria, Patrick Fernandes, Nuno Miguel Guerreiro, André F. T. Martins:
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation. CoRR abs/2410.07779 (2024) - [i17]Miguel Moura Ramos, Tomás Almeida, Daniel Vareta, Filipe Azevedo, Sweta Agrawal, Patrick Fernandes, André F. T. Martins:
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings. CoRR abs/2411.05986 (2024) - [i16]José Pombal, Sweta Agrawal, Patrick Fernandes, Emmanouil Zaranis, André F. T. Martins:
A Context-aware Framework for Translation-mediated Conversations. CoRR abs/2412.04205 (2024) - 2023
- [j1]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: 1643-1668 (2023) - [c16]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: 400-411 - [c15]Patrick Fernandes, Kayo Yin, Emmy Liu, André Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. ACL (1) 2023: 606-626 - [c14]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: 8487-8495 - [c13]Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig:
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. EACL (Findings) 2023: 1680-1690 - [c12]Markus Freitag, Behrooz Ghorbani, Patrick Fernandes:
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. EMNLP (Findings) 2023: 9198-9209 - [c11]Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat:
Scaling Laws for Multilingual Neural Machine Translation. ICML 2023: 10053-10071 - [c10]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: 1066-1083 - [i15]Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat:
Scaling Laws for Multilingual Neural Machine Translation. CoRR abs/2302.09650 (2023) - [i14]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 abs/2305.00955 (2023) - [i13]Markus Freitag, Behrooz Ghorbani, Patrick Fernandes:
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. CoRR abs/2305.09860 (2023) - [i12]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 abs/2306.01200 (2023) - [i11]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 abs/2308.07286 (2023) - [i10]Miguel Moura Ramos, Patrick Fernandes, António Farinhas, André F. T. Martins:
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. CoRR abs/2311.09132 (2023) - [i9]Sumire Honda, Patrick Fernandes, Chrysoula Zerva:
Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues. CoRR abs/2311.11976 (2023) - 2022
- [c9]Marcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. SPNLP@ACL 2022: 67-81 - [c8]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: 298-307 - [c7]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: 1396-1412 - [c6]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. NeurIPS 2022 - [c5]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: 724-743 - [i8]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR abs/2204.10810 (2022) - [i7]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 abs/2205.00978 (2022) - [i6]Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig:
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. CoRR abs/2210.07111 (2022) - 2021
- [c4]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: 788-801 - [c3]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. ACL/IJCNLP (1) 2021: 6467-6478 - [i5]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. CoRR abs/2105.03482 (2021) - [i4]Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? CoRR abs/2105.06977 (2021) - [i3]Kayo Yin, Patrick Fernandes, André F. T. Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. CoRR abs/2109.07446 (2021) - [i2]Marcos V. Treviso, António Góis, Patrick Fernandes, Erick R. Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. CoRR abs/2109.12188 (2021)
2010 – 2019
- 2019
- [c2]Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt:
Structured Neural Summarization. ICLR (Poster) 2019 - 2018
- [i1]Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt:
Structured Neural Summarization. CoRR abs/1811.01824 (2018) - 2017
- [c1]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: 489-495
Coauthor Index

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