| 2026 | ACL | LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations. | Viet Thanh Pham, Lizhen Qu, Thuy-Trang Vu, Gholamreza Haffari, Dinh Q. Phung |
| 2026 | ACL | Towards Inference-time Scaling for Continuous Space Reasoning. | Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari |
| 2026 | EACL | CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment. | Jiangnan Li, Thuy-Trang Vu, Christian Herold, Amirhossein Tebbifakhr, Shahram Khadivi, Gholamreza Haffari |
| 2026 | EACL | Discourse Graph Guided Document Translation with Large Language Models. | Viet-Thanh Pham, Minghan Wang, Hao-Han Liao, Thuy-Trang Vu |
| 2025 | ACL | SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models. | Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari |
| 2025 | ACL | Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model. | Minghan Wang, Viet-Thanh Pham, Farhad Moghimifar, Thuy-Trang Vu |
| 2025 | COLING | 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 |
| 2025 | EMNLP | MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. | Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do |
| 2025 | EMNLP | Discrete Minds in a Continuous World: Do Language Models Know Time Passes? | Minghan Wang, Ye Bai, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari |
| 2025 | EMNLP | Continual Learning of Large Language Models. | Tongtong Wu, Thuy-Trang Vu, Linhao Luo, Gholamreza Haffari |
| 2025 | ICLR | Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. | Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung |
| 2025 | ICML | The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. | Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari |
| 2025 | Interspeech | SpeechDialogueFactory: A Framework for Natural Speech Dialogue Generation. | Minghan Wang, Ye Bai, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari |
| 2024 | ACL | Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. | Thi Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari |
| 2024 | EMNLP | Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. | Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Reza Haf |
| 2024 | EMNLP | Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. | Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf |
| 2023 | EMNLP | Systematic Assessment of Factual Knowledge in Large Language Models. | Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Gholamreza Haffari |
| 2023 | EMNLP | Koala: An Index for Quantifying Overlaps with Pre-training Corpora. | Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi |
| 2022 | ACL | Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training. | Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari |
| 2021 | EMNLP | Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. | Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari |
| 2020 | EMNLP | Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. | Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari |
| 2019 | ACL | Learning How to Active Learn by Dreaming. | Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari |
| 2018 | EMNLP | Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach. | Thuy-Trang Vu, Gholamreza Haffari |