| Improving accuracy and speeding up document image classification through parallel systems J Ferrando, JL Domínguez, J Torres, R García, D García, D Garrido, ... Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 25 | 2020 |
| Gender bias in multilingual neural machine translation: The architecture matters MR Costa-jussà, C Escolano, C Basta, J Ferrando, R Batlle, ... arXiv preprint arXiv:2012.13176, 2020 | 15 | 2020 |
| Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions J Ferrando, MR Costa-jussà EMNLP 2021 (Findings), 2021 | 8 | 2021 |
| Interpreting gender bias in neural machine translation: Multilingual architecture matters MR Costa-jussà, C Escolano, C Basta, J Ferrando, R Batlle, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11855 …, 2022 | 6 | 2022 |
| Towards opening the black box of neural machine translation: Source and target interpretations of the transformer J Ferrando, GI Gállego, B Alastruey, C Escolano, M R. Costa-jussa EMNLP 2022, 0 | 4* | |
| Toxicity in Multilingual Machine Translation at Scale MR Costa-jussà, E Smith, C Ropers, D Licht, J Ferrando, C Escolano arXiv preprint arXiv:2210.03070, 2022 | 3 | 2022 |
| Measuring the Mixing of Contextual Information in the Transformer J Ferrando, GI Gállego, MR Costa-jussà EMNLP 2022, 2022 | 3 | 2022 |
| The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach C Escolano, I Tsiamas, C Basta, J Ferrando, MR Costa-jussà, ... Proceedings of the Sixth Conference on Machine Translation, 117-122, 2021 | 3 | 2021 |
| Explaining How Transformers Use Context to Build Predictions J Ferrando, GI Gállego, I Tsiamas, MR Costa-jussà arXiv preprint arXiv:2305.12535, 2023 | | 2023 |
| On the Locality of Attention in Direct Speech Translation B Alastruey, J Ferrando, GI Gállego, MR Costa-jussà ACL SRW 2022, 2022 | | 2022 |
