| 2025 | EMNLP | Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models. | Tobias Domhan, Dawei Zhu |
| 2024 | ACL | A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism. | Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico |
| 2022 | NAACL | The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. | Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber |
| 2021 | EMNLP | Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. | Eva Hasler, Tobias Domhan, Jonay Trnous, Ke Tran, Bill Byrne, Felix Hieber |
| 2020 | AMTA | The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020. | Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield |
| 2020 | EAMT | Sockeye 2: A Toolkit for Neural Machine Translation. | Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar |
| 2018 | ACL | How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures. | Tobias Domhan |
| 2018 | AMTA | The Sockeye Neural Machine Translation Toolkit at AMTA 2018. | Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post |
| 2017 | EMNLP | Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning. | Tobias Domhan, Felix Hieber |
| 2015 | IJCAI | Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves. | Tobias Domhan, Jost Tobias Springenberg, Frank Hutter |