Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach. - Thuy-Trang Vu; Gholamreza Haffari (EMNLP, 2018)

Learning How to Active Learn by Dreaming. - Thuy-Trang Vu; Ming Liu 028; Dinh Phung 001; Gholamreza Haffari (ACL (1), 2019)

Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. - Thuy-Trang Vu; Dinh Phung 001; Gholamreza Haffari (EMNLP (1), 2020)

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. - Thuy-Trang Vu; Xuanli He; Dinh Q. Phung; Gholamreza Haffari (EMNLP (1), 2021)

Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training. - Thuy-Trang Vu; Shahram Khadivi; Dinh Q. Phung; Gholamreza Haffari (ACL (Findings), 2022)

Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? - Thuy-Trang Vu; Shahram Khadivi; Xuanli He; Dinh Phung 001; Gholamreza Haffari (WMT, 2022)

Learning to Adapt Neural Models with Limited Human Supervision in Natural Language Processing. - Thuy-Trang Vu (2022)

Systematic Assessment of Factual Knowledge in Large Language Models. - Linhao Luo; Thuy-Trang Vu; Dinh Q. Phung; Gholamreza Haffari (EMNLP (Findings), 2023)

Koala: An Index for Quantifying Overlaps with Pre-training Corpora. - Thuy-Trang Vu; Xuanli He; Gholamreza Haffari; Ehsan Shareghi (EMNLP (Demos), 2023)

Active Continual Learning: Labelling Queries in a Sequence of Tasks. - Thuy-Trang Vu; Shahram Khadivi; Dinh Q. Phung; Gholamreza Haffari (CoRR, 2023)

Simultaneous Machine Translation with Large Language Models. - Minghan Wang; Thuy-Trang Vu; Jinming Zhao; Fatemeh Shiri; Ehsan Shareghi; Gholamreza Haffari (ALTA, 2024)

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. - Thi Nguyen; Linhao Luo; Fatemeh Shiri; Dinh Phung 001; Yuan-Fang Li; Thuy-Trang Vu; Gholamreza Haffari (ACL (Findings), 2024)

Active Continual Learning: On Balancing Knowledge Retention and Learnability. - Thuy-Trang Vu; Shahram Khadivi; Mahsa Ghorbanali; Dinh Q. Phung; Gholamreza Haffari (AI (2), 2024)

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. - Minghan Wang; Yuxia Wang; Thuy-Trang Vu; Ehsan Shareghi; Reza Haf (EMNLP (Findings), 2024)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Reza Haf (EMNLP, 2024)

Adapting Large Language Models for Document-Level Machine Translation. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; George F. Foster; 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)

Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models. - Minghan Wang; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. - Minh-Vuong Nguyen; Linhao Luo; Fatemeh Shiri; Dinh Phung 001; Yuan-Fang Li; Thuy-Trang Vu; Gholamreza Haffari (CoRR, 2024)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. - Minghan Wang; Yuxia Wang; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking. - Zhuang Li 001; Yuncheng Hua; Thuy-Trang Vu; Haolan Zhan; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval. - Tuan-Luc Huynh; Thuy-Trang Vu; Weiqing Wang 001; Yinwei Wei; Trung Le 001; Dragan Gasevic; Yuan-Fang Li; Thanh-Toan Do (CoRR, 2024)

The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models. - Zhuang Li 001; Yuncheng Hua; Thuy-Trang Vu; Haolan Zhan; Lizhen Qu; Gholamreza Haffari (ACL (1), 2025)

Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model. - Minghan Wang; Viet-Thanh Pham; Farhad Moghimifar; Thuy-Trang Vu (ACL (Findings), 2025)

Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation. - Samin Mahdizadeh Sani; Pouya Sadeghi; Thuy-Trang Vu; Yadollah Yaghoobzadeh; Gholamreza Haffari (COLING, 2025)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. - Anh Tuan Bui; Thuy-Trang Vu; Long Tung Vuong; Trung Le 001; Paul Montague; Tamas Abraham; Junae Kim; Dinh Phung 001 (ICLR, 2025)

CONGRAD:Conflicting Gradient Filtering for Multilingual Preference Alignment. - Jiangnan Li; Thuy-Trang Vu; Christian Herold; Amirhossein Tebbifakhr; Shahram Khadivi; Gholamreza Haffari (CoRR, 2025)

SpeechDialogueFactory: Generating High-Quality Speech Dialogue Data to Accelerate Your Speech-LLM Development. - Minghan Wang; Ye Bai; Yuxia Wang; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2025)

SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking. - Junnan Liu; Linhao Luo; Thuy-Trang Vu; Gholamreza Haffari (CoRR, 2025)

Discrete Minds in a Continuous World: Do Language Models Know Time Passes? - Minghan Wang; Ye Bai; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2025)

MAPLE: Multi-Agent Adaptive Planning with Long-Term Memory for Table Reasoning. - Ye Bai; Minghan Wang; Thuy-Trang Vu (CoRR, 2025)

MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. - Tuan-Luc Huynh; Thuy-Trang Vu; Weiqing Wang 001; Trung Le 001; Dragan Gasevic; Yuan-Fang Li; Thanh-Toan Do (CoRR, 2025)