Shaomu Tan

According to our database, Shaomu Tan authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation.

Shaomu Tan, Dawei Zhu, Ke Tran, Michael J. Denkowski, Sony Trenous, Bill Byrne, Leonardo F. R. Ribeiro, Felix Hieber

CoRR, May, 2026

2025

Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations.

Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, Qiyu Wu, Toshiyuki Sekiya, Christof Monz

CoRR, December, 2025

Investigating Test-Time Scaling with Reranking for Machine Translation.

Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, Toshiyuki Sekiya

CoRR, September, 2025

Simple Test Time Scaling for Machine Translation: Kaze-MT at the WMT25 General Translation Task.

Shaomu Tan

Proceedings of the Tenth Conference on Machine Translation, 2025

ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling.

Shaomu Tan, Christof Monz

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data.

Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz

CoRR, 2024

UvA-MT's Participation in the WMT24 General Translation Shared Task.

Shaomu Tan, David Stap, Seth Aycock, Christof Monz, Di Wu

Proceedings of the Ninth Conference on Machine Translation, 2024

Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation.

Shaomu Tan, Di Wu, Christof Monz

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

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

Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

UvA-MT's Participation in the WMT23 General Translation Shared Task.

Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz

CoRR, 2023

Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis.

Sotirios Kastanas, Shaomu Tan, Yi He

CoRR, 2023

Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning.

Baohao Liao, Shaomu Tan, Christof Monz

CoRR, 2023

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

Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz

Proceedings of the Eighth Conference on Machine Translation, 2023

Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning.

Baohao Liao, Shaomu Tan, Christof Monz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Shaomu Tan, Christof Monz

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

2022

Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering.

Shaomu Tan, Denis Paperno

CoRR, 2022