Thuy-Trang Vu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Machine Translation

Document Retrieval

Top Venues

Publications

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. CoRR (2024)
Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari
Continual Learning for Large Language Models: A Survey. CoRR (2024)
Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari
Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. CoRR (2024)
Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking. CoRR (2024)
Minh-Vuong Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. CoRR (2024)
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, Gholamreza Haffari
Adapting Large Language Models for Document-Level Machine Translation. CoRR (2024)
Thi Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. ACL (Findings) (2024)
Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models. CoRR (2024)
Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval. CoRR (2024)
Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari
Active Continual Learning: Labelling Queries in a Sequence of Tasks. CoRR (2023)
Minghan Wang, Jinming Zhao, Thuy-Trang Vu, Fatemeh Shiri, Ehsan Shareghi, Gholamreza Haffari
Simultaneous Machine Translation with Large Language Models. CoRR (2023)
Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Gholamreza Haffari
Systematic Assessment of Factual Knowledge in Large Language Models. CoRR (2023)
Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi
Koala: An Index for Quantifying Overlaps with Pre-training Corpora. EMNLP (Demos) (2023)
Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi
Koala: An Index for Quantifying Overlaps with Pre-training Corpora. CoRR (2023)
Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Reza Haf
Systematic Assessment of Factual Knowledge in Large Language Models. EMNLP (Findings) (2023)
Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training. ACL (Findings) (2022)
Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? WMT (2022)
Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Q. Phung, Gholamreza Haffari
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation? CoRR (2022)
Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. CoRR (2021)
Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. EMNLP (1) (2021)
Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. EMNLP (1) (2020)
Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. CoRR (2020)
Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari
Learning How to Active Learn by Dreaming. ACL (1) (2019)
Thuy-Trang Vu, Gholamreza Haffari
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach. EMNLP (2018)