A Proposal Based on IoT for Social Inclusion of People with Visual Impairment. - Cleiton Garcia; Patrick Fernandes; Patricia Davet; João Ladislau Lopes; Adenauer C. Yamin; Cláudio Fernando Resin Geyer (WebMedia, 2017)

Structured Neural Summarization. - Patrick Fernandes; Miltiadis Allamanis; Marc Brockschmidt (ICLR (Poster), 2019)

Measuring and Increasing Context Usage in Context-Aware Machine Translation. - Patrick Fernandes; Kayo Yin; Graham Neubig; André F. T. Martins (ACL/IJCNLP (1), 2021)

Do Context-Aware Translation Models Pay the Right Attention? - Kayo Yin; Patrick Fernandes; Danish Pruthi; Aditi Chaudhary; André F. T. Martins; Graham Neubig (ACL/IJCNLP (1), 2021)

When Does Translation Require Context? A Data-driven, Multilingual Exploration. - Kayo Yin; Patrick Fernandes; André F. T. Martins; Graham Neubig (CoRR, 2021)

Predicting Attention Sparsity in Transformers. - Marcos V. Treviso; António Góis; Patrick Fernandes; Erick Rocha Fonseca; André F. T. Martins (SPNLP@ACL, 2022)

CMU's IWSLT 2022 Dialect Speech Translation System. - Brian Yan; Patrick Fernandes; Siddharth Dalmia; Jiatong Shi; Yifan Peng 003; Dan Berrebbi; Xinyi Wang 001; Graham Neubig; Shinji Watanabe 001 (IWSLT@ACL, 2022)

Quality-Aware Decoding for Neural Machine Translation. - Patrick Fernandes; António Farinhas; Ricardo Rei; José Guilherme Camargo de Souza; Perez Ogayo; Graham Neubig; André F. T. Martins (NAACL-HLT, 2022)

Learning to Scaffold: Optimizing Model Explanations for Teaching. - Patrick Fernandes; Marcos V. Treviso; Danish Pruthi; André F. T. Martins; Graham Neubig (NeurIPS, 2022)

Findings of the WMT 2022 Shared Task on Chat Translation. - Ana C. Farinha; M. Amin Farajian; Marianna Buchicchio; Patrick Fernandes; José G. C. de Souza; Helena Moniz; André F. T. Martins (WMT, 2022)

When Does Translation Require Context? A Data-driven, Multilingual Exploration. - Patrick Fernandes; Kayo Yin; Emmy Liu; André F. T. Martins; Graham Neubig (ACL (1), 2023)

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. - Sameer Jain; Vaishakh Keshava; Swarnashree Mysore Sathyendra; Patrick Fernandes; Pengfei Liu 003; Graham Neubig; Chunting Zhou (ACL (Findings), 2023)

ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. - Brian Yan; Jiatong Shi; Yun Tang 002; Hirofumi Inaguma; Yifan Peng 003; Siddharth Dalmia; Peter Polak; Patrick Fernandes; Dan Berrebbi; Tomoki Hayashi; Xiaohui Zhang 007; Zhaoheng Ni; et al. (ACL (demo), 2023)

A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. - Jimin Sun; Patrick Fernandes; Xinyi Wang 001; Graham Neubig (EACL (Findings), 2023)

Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. - Markus Freitag; Behrooz Ghorbani; Patrick Fernandes (EMNLP (Findings), 2023)

Scaling Laws for Multilingual Neural Machine Translation. - Patrick Fernandes; Behrooz Ghorbani; Xavier Garcia; Markus Freitag; Orhan Firat (ICML, 2023)

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. - Patrick Fernandes; Daniel Deutsch; Mara Finkelstein; Parker Riley; André F. T. Martins; Graham Neubig; Ankush Garg; Jonathan H. Clark; Markus Freitag; Orhan Firat (WMT, 2023)

Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues. - Sumire Honda; Patrick Fernandes; Chrysoula Zerva (CoRR, 2023)

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. - 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 (Trans. Assoc. Comput. Linguistics, 2023)

Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. - Miguel Moura Ramos; Patrick Fernandes; António Farinhas; André F. T. Martins (EAMT (1), 2024)

Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation. - Sweta Agrawal; José Guilherme Camargo de Souza; Ricardo Rei; António Farinhas; Gonçalo Rui Alves Faria; Patrick Fernandes; Nuno Miguel Guerreiro; André F. T. Martins (EMNLP, 2024)

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task. - Ricardo Rei; José Pombal; Nuno Miguel Guerreiro; João Alves 003; Pedro Henrique Martins; Patrick Fernandes; Helena Wu; Tânia Vaz; Duarte M. Alves; M. Amin Farajian; Sweta Agrawal; António Farinhas; et al. (WMT, 2024)

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks. - Duarte M. Alves; José Pombal; Nuno Miguel Guerreiro; Pedro Henrique Martins; João Alves 003; M. Amin Farajian; Ben Peters; Ricardo Rei; Patrick Fernandes; Sweta Agrawal; Pierre Colombo; José G. C. de Souza; et al. (CoRR, 2024)

Is Context Helpful for Chat Translation Evaluation? - Sweta Agrawal; M. Amin Farajian; Patrick Fernandes; Ricardo Rei; André F. T. Martins (CoRR, 2024)

CMU's IWSLT 2024 Simultaneous Speech Translation System. - Xi Xu; Siqi Ouyang; Brian Yan; Patrick Fernandes; William Chen; Lei Li 005; Graham Neubig; Shinji Watanabe 001 (CoRR, 2024)

DOCE: Finding the Sweet Spot for Execution-Based Code Generation. - Haau-Sing Li; Patrick Fernandes; Iryna Gurevych; André F. T. Martins (CoRR, 2024)

EuroLLM: Multilingual Language Models for Europe. - Pedro Henrique Martins; Patrick Fernandes; João Alves 003; Nuno Miguel Guerreiro; Ricardo Rei; Duarte M. Alves; José Pombal; M. Amin Farajian; Manuel Faysse; Mateusz Klimaszewski; Pierre Colombo; Barry Haddow; et al. (CoRR, 2024)

Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings. - Miguel Moura Ramos; Tomás Almeida; Daniel Vareta; Filipe Azevedo 001; Sweta Agrawal; Patrick Fernandes; André F. T. Martins (CoRR, 2024)

A Context-aware Framework for Translation-mediated Conversations. - José Pombal; Sweta Agrawal; Patrick Fernandes; Emmanouil Zaranis; André F. T. Martins (CoRR, 2024)

Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions? - Sweta Agrawal; M. Amin Farajian; Patrick Fernandes; Ricardo Rei; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 2024)

Better Instruction-Following Through Minimum Bayes Risk. - Ian Wu; Patrick Fernandes; Amanda Bertsch; Seungone Kim; Sina Khoshfetrat Pakazad; Graham Neubig (ICLR, 2025)

CroissantLLM: A Truly Bilingual French-English Language Model. - Manuel Faysse; Patrick Fernandes; Nuno Miguel Guerreiro; António Loison; Duarte M. Alves; Caio Corro; Nicolas Boizard; João Alves 003; Ricardo Rei; Pedro Henrique Martins; Antoni Bigata Casademunt; François Yvon; et al. (Trans. Mach. Learn. Res., 2025)

Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions. - Emmy Liu; Amanda Bertsch; Lintang Sutawika; Lindia Tjuatja; Patrick Fernandes; Lara Marinov; Michael Chen; Shreya Singhal; Carolin Lawrence; Aditi Raghunathan; Kiril Gashteovski; Graham Neubig (CoRR, 2025)

EuroBERT: Scaling Multilingual Encoders for European Languages. - Nicolas Boizard; Hippolyte Gisserot-Boukhlef; Duarte M. Alves; André F. T. Martins; Ayoub Hammal; Caio Corro; Céline Hudelot; Emmanuel Malherbe; Etienne Malaboeuf; Fanny Jourdan; Gabriel Hautreux; João Alves 003; et al. (CoRR, 2025)

M-Prometheus: A Suite of Open Multilingual LLM Judges. - José Pombal; Dongkeun Yoon; Patrick Fernandes; Ian Wu; Seungone Kim; Ricardo Rei; Graham Neubig; André F. T. Martins (CoRR, 2025)

Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering. - Patrick Fernandes; Sweta Agrawal; Emmanouil Zaranis; André F. T. Martins; Graham Neubig (CoRR, 2025)

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation. - Miguel Moura Ramos; Patrick Fernandes; Sweta Agrawal; André F. T. Martins (CoRR, 2025)

EuroLLM-9B: Technical Report. - Pedro Henrique Martins; João Alves 003; Patrick Fernandes; Nuno Miguel Guerreiro; Ricardo Rei; M. Amin Farajian; Mateusz Klimaszewski; Duarte M. Alves; José Pombal; Nicolas Boizard; Manuel Faysse; Pierre Colombo; et al. (CoRR, 2025)