| Modeling the energy efficiency of heterogeneous clusters L Ramapantulu, BM Tudor, D Loghin, T Vu, YM Teo 2014 43rd International Conference on Parallel Processing, 321-330, 2014 | 23 | 2014 |
| Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models TT Vu, D Phung, G Haffari Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 21 | 2020 |
| Learning How to Active Learn by Dreaming TT Vu, M Liu, D Phung, G Haffari Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 21 | 2019 |
| Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach TT Vu, G Haffari Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 21 | 2018 |
| Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training T Vu, S Khadivi, D Phung, G Haffari Findings of the Association for Computational Linguistics: ACL 2022, 582-588, 2022 | 7 | 2022 |
| Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection TT Vu, X He, D Phung, G Haffari Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 7 | 2021 |
| Active Continual Learning: Labelling Queries in a Sequence of Tasks TT Vu, S Khadivi, D Phung, G Haffari arXiv preprint arXiv:2305.03923, 2023 | 1 | 2023 |
| Koala: An Index for Quantifying Overlaps with Pre-training Corpora TT Vu, X He, G Haffari, E Shareghi arXiv preprint arXiv:2303.14770, 2023 | 1 | 2023 |
| Systematic Assessment of Factual Knowledge in Large Language Models L Luo, TT Vu, D Phung, G Haffari arXiv preprint arXiv:2310.11638, 2023 | | 2023 |
| Simultaneous Machine Translation with Large Language Models M Wang, J Zhao, TT Vu, F Shiri, E Shareghi, G Haffari arXiv preprint arXiv:2309.06706, 2023 | | 2023 |
| Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation? TT Vu, S Khadivi, X He, D Phung, G Haffari The Seventh Conference on Machine Translation (WMT), 2022, 2022 | | 2022 |
| Learning to Adapt Neural Models with Limited Human Supervision in Natural Language Processing VUTHIT TRANG Monash University, 2022 | | 2022 |
Gholamreza (Reza) HaffariProfessor and ARC Future Fellow, DSAI Dept, Monash UniversityVerified email at monash.edu
