| Continual Learning for Large Language Models: A Survey T Wu, L Luo, YF Li, S Pan, TT Vu, G Haffari arXiv preprint arXiv:2402.01364, 2024 | 106 | 2024 |
| Adapting Large Language Models for Document-Level Machine Translation M Wu, TT Vu, L Qu, G Foster, G Haffari arXiv preprint arXiv:2401.06468, 2024 | 31 | 2024 |
| 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 | 30 | 2018 |
| 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 | 27 | 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 | 27 | 2019 |
| 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 | 26 | 2014 |
| Systematic Assessment of Factual Knowledge in Large Language Models L Luo, TT Vu, D Phung, G Haffari Findings of EMNLP 2023, 2023 | 20 | 2023 |
| Domain generalisation of NMT: Fusing adapters with leave-one-domain-out training TT Vu, S Khadivi, D Phung, G Haffari Annual Meeting of the Association of Computational Linguistics 2022, 582-588, 2022 | 12 | 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 | 10 | 2021 |
| Simultaneous Machine Translation with Large Language Models M Wang, J Zhao, TT Vu, F Shiri, E Shareghi, G Haffari ALTA 2024, 2023 | 8 | 2023 |
| Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs MV Nguyen, L Luo, F Shiri, D Phung, YF Li, TT Vu, G Haffari Findings of ACL 2024, 2024 | 7 | 2024 |
| Koala: An Index for Quantifying Overlaps with Pre-training Corpora TT Vu, X He, G Haffari, E Shareghi EMNLP 2023: System Demonstration, 2023 | 6 | 2023 |
| Conversational simulmt: Efficient simultaneous translation with large language models M Wang, TT Vu, Y Wang, E Shareghi, G Haffari arXiv preprint arXiv:2402.10552, 2024 | 5 | 2024 |
| Active Continual Learning: On Balancing Knowledge Retention and Learnability TT Vu, S Khadivi, M Ghorbanali, D Phung, G Haffari Australasian Joint Conference on Artificial Intelligence, 137-150, 2024 | 4 | 2024 |
| The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph M Wu, TT Vu, L Qu, G Haffari arXiv preprint arXiv:2410.12458, 2024 | 1 | 2024 |
| PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval TL Huynh, TT Vu, W Wang, Y Wei, T Le, D Gasevic, YF Li, TT Do arXiv preprint arXiv:2406.12593, 2024 | 1 | 2024 |
| SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking Z Li, Y Hua, TT Vu, H Zhan, L Qu, G Haffari arXiv preprint arXiv:2406.10882, 2024 | 1 | 2024 |
| Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR M Wang, Y Wang, TT Vu, E Shareghi, G Haffari Findings of EMNLP 2024, 2024 | 1 | 2024 |
| 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 |
| Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them A Bui, T Vu, L Vuong, T Le, P Montague, T Abraham, J Kim, D Phung arXiv preprint arXiv:2501.18950, 2025 | | 2025 |
Gholamreza (Reza) HaffariMonash University and Openstream AI確認したメール アドレス: monash.edu