Patrick Fernandes
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | 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 |
| 2025 | ICLR | Better Instruction-Following Through Minimum Bayes Risk. | Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Khoshfetrat Pakazad, Graham Neubig |
| 2025 | IJCNLP | Formalizing Test-Time Compute for Function-Level Code Generation. | Haau-Sing Li, Patrick Fernandes, Iryna Gurevych, Andr F. T. Martins |
| 2024 | EAMT | Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. | Miguel Moura Ramos, Patrick Fernandes, Antnio Farinhas, Andr F. T. Martins |
| 2024 | EMNLP | Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation. | Sweta Agrawal, Jos Guilherme Camargo de Souza, Ricardo Rei, Antnio Farinhas, Gonalo Rui Alves Faria, Patrick Fernandes, Nuno Miguel Guerreiro, Andr F. T. Martins |
| 2023 | ACL | When Does Translation Require Context? A Data-driven, Multilingual Exploration. | Patrick Fernandes, Kayo Yin, Emmy Liu, Andr F. T. Martins, Graham Neubig |
| 2023 | ACL | Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. | Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou |
| 2023 | ACL | ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. | 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 |
| 2023 | EACL | A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. | Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig |
| 2023 | EMNLP | Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. | Markus Freitag, Behrooz Ghorbani, Patrick Fernandes |
| 2023 | ICML | Scaling Laws for Multilingual Neural Machine Translation. | Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat |
| 2022 | NAACL | Quality-Aware Decoding for Neural Machine Translation. | Patrick Fernandes, Antnio Farinhas, Ricardo Rei, Jos Guilherme Camargo de Souza, Perez Ogayo, Graham Neubig, Andr F. T. Martins |
| 2021 | ACL | Measuring and Increasing Context Usage in Context-Aware Machine Translation. | Patrick Fernandes, Kayo Yin, Graham Neubig, Andr F. T. Martins |
| 2021 | ACL | Do Context-Aware Translation Models Pay the Right Attention? | Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, Andr F. T. Martins, Graham Neubig |
| 2019 | ICLR | Structured Neural Summarization. | Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt |