Publications

2025

arXiv

Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling

Shaomu Tan, and Christof Monz

arXiv preprint arXiv:2504.13630, 2025

@article{tan2025remedy,
  title = {Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling},
  author = {Tan, Shaomu and Monz, Christof},
  journal = {arXiv preprint arXiv:2504.13630},
  year = {2025},
  google_scholar_id = {hqOjcs7Dif8C}
}

2024

EMNLP

Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation

Shaomu Tan, Di Wu, and Christof Monz

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

@inproceedings{tan2024neuron,
  title = {Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation},
  author = {Tan, Shaomu and Wu, Di and Monz, Christof},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  pages = {6506--6527},
  year = {2024},
  google_scholar_id = {Tyk-4Ss8FVUC}
}

ACL Findings

How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data

Di Wu, Shaomu Tan, Yan Meng, and 2 more authors

In Findings of the Association for Computational Linguistics ACL 2024, 2024

@inproceedings{wu2024far,
  title = {How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data},
  author = {Wu, Di and Tan, Shaomu and Meng, Yan and Stap, David and Monz, Christof},
  booktitle = {Findings of the Association for Computational Linguistics ACL 2024},
  pages = {15092--15108},
  year = {2024},
  google_scholar_id = {ufrVoPGSRksC}
}

2023

EMNLP

Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance

Shaomu Tan, and Christof Monz

In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

@inproceedings{tan2023towards,
  title = {Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance},
  author = {Tan, Shaomu and Monz, Christof},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
  pages = {13553--13568},
  year = {2023},
  google_scholar_id = {d1gkVwhDpl0C}
}

NeurIPS

Make pre-trained model reversible: From parameter to memory efficient fine-tuning

Baohao Liao, Shaomu Tan, and Christof Monz

Advances in Neural Information Processing Systems, 2023

@article{liao2023make,
  title = {Make pre-trained model reversible: From parameter to memory efficient fine-tuning},
  author = {Liao, Baohao and Tan, Shaomu and Monz, Christof},
  journal = {Advances in Neural Information Processing Systems},
  volume = {36},
  year = {2023},
  google_scholar_id = {UeHWp8X0CEIC}
}

WMT

UvA-MT’s Participation in the WMT 2023 General Translation Shared Task

Di Wu, Shaomu Tan, David Stap, and 2 more authors

In Proceedings of the Eighth Conference on Machine Translation, 2023

@inproceedings{wu2023uva,
  title = {UvA-MT’s Participation in the WMT 2023 General Translation Shared Task},
  author = {Wu, Di and Tan, Shaomu and Stap, David and Araabi, Ali and Monz, Christof},
  booktitle = {Proceedings of the Eighth Conference on Machine Translation},
  pages = {175--180},
  year = {2023},
  google_scholar_id = {WF5omc3nYNoC}
}