Thuy-Trang Vu

According to our database, Thuy-Trang Vu authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs.

Minh-Vuong Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari

CoRR, 2024

Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models.

Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari

CoRR, 2024

Continual Learning for Large Language Models: A Survey.

Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari

CoRR, 2024

Adapting Large Language Models for Document-Level Machine Translation.

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, Gholamreza Haffari

CoRR, 2024

2023

Systematic Assessment of Factual Knowledge in Large Language Models.

Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Gholamreza Haffari

CoRR, 2023

Simultaneous Machine Translation with Large Language Models.

Minghan Wang, Jinming Zhao, Thuy-Trang Vu, Fatemeh Shiri, Ehsan Shareghi, Gholamreza Haffari

CoRR, 2023

Active Continual Learning: Labelling Queries in a Sequence of Tasks.

Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari

CoRR, 2023

Koala: An Index for Quantifying Overlaps with Pre-training Corpora.

Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi

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

Systematic Assessment of Factual Knowledge in Large Language Models.

Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Reza Haf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Learning to Adapt Neural Models with Limited Human Supervision in Natural Language Processing.

Thuy-Trang Vu

PhD thesis, 2022

Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?

Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari

Proceedings of the Seventh Conference on Machine Translation, 2022

Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training.

Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection.

Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models.

Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Learning How to Active Learn by Dreaming.

Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach.

Thuy-Trang Vu, Gholamreza Haffari

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018