| Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation B Eikema, W Aziz arXiv preprint arXiv:2005.10283, 2020 | 126 | 2020 |
| Sampling-based approximations to minimum Bayes risk decoding for neural machine translation B Eikema, W Aziz Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 53 | 2022 |
| Auto-Encoding Variational Neural Machine Translation B Eikema, W Aziz arXiv preprint arXiv:1807.10564, 2018 | 44 | 2018 |
| An approximate sampler for energy-based models with divergence diagnostics B Eikema, G Kruszewski, CR Dance, H Elsahar, M Dymetman Transactions of Machine Learning Research, 2022 | 11 | 2022 |
| The Effect of Generalisation on the Inadequacy of the Mode B Eikema Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024 …, 2024 | 3 | 2024 |
| Findings of the WMT 2024 Shared Task on Chat Translation W Mohammed, S Agrawal, MA Farajian, V Cabarrão, B Eikema, ... arXiv preprint arXiv:2410.11624, 2024 | 2 | 2024 |
| SAMPLING FROM DISCRETE ENERGY-BASED MODELS WITH QUALITY/EFFICIENCY TRADE-OFF B Eikema, G Kruszewski, H Elsahar, S Clinchant, M Dymetman US Patent App. 17/877,336, 2024 | | 2024 |
