Tu Anh Dinh

According to our database, Tu Anh Dinh authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

COMET-poly: Machine Translation Metric Grounded in Other Candidates.

Maike Züfle, Vilém Zouhar, Tu Anh Dinh, Felipe Maia Polo, Jan Niehues, Mrinmaya Sachan

CoRR, August, 2025

Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons.

Isik Baran Sandan, Tu Anh Dinh, Jan Niehues

CoRR, June, 2025

KIT's Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization.

Zhaolin Li, Yining Liu, Danni Liu, Tuan-Nam Nguyen, Enes Yavuz Ugan, Tu Anh Dinh, Carlos Mullov, Alexander Waibel, Jan Niehues

CoRR, May, 2025

Are Generative Models Underconfident? An Embarrassingly Simple Quality Estimation Approach.

Tu Anh Dinh, Jan Niehues

CoRR, February, 2025

2024

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading.

Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Fabian Tërnava, Jianfeng Gao, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues

CoRR, 2024

Quality Estimation with <i>k</i>-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation.

Tu Anh Dinh, Tobias Palzer, Jan Niehues

CoRR, 2024

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading.

Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Tobias Röddiger, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues

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

Quality Estimation with k-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation.

Tu Anh Dinh, Tobias Palzer, Jan Niehues

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

2023

Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation.

Tu Anh Dinh, Jan Niehues

CoRR, 2023

KIT's Multilingual Speech Translation System for IWSLT 2023.

Danni Liu, Thai Binh Nguyen, Sai Koneru, Enes Yavuz Ugan, Ngoc-Quan Pham, Tuan-Nam Nguyen, Tu Anh Dinh, Carlos Mullov, Alexander Waibel, Jan Niehues

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes.

Tu Anh Dinh, Jeroen den Boef, Joran Cornelisse, Paul Groth

Proceedings of the IEEE International Conference on Data Mining, 2023

End-to-End Evaluation for Low-Latency Simultaneous Speech Translation.

Christian Huber, Tu Anh Dinh, Carlos Mullov, Ngoc-Quan Pham, Thai Binh Nguyen, Fabian Retkowski, Stefan Constantin, Enes Yavuz Ugan, Danni Liu, Zhaolin Li, Sai Koneru, Jan Niehues, Alexander Waibel

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

2022

Tackling Data Scarcity in Speech Translation Using Zero-Shot Multilingual Machine Translation Techniques.

Tu Anh Dinh, Danni Liu, Jan Niehues

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Zero-shot Speech Translation.

Tu Anh Dinh

CoRR, 2021