Trang Vu

Modus omnibus in rebus

prof_pic.jpg

244 Woodside buidling

20 Exhibition Walk

Monash University, Australia

E: trang.vu1@monash.edu

Trang Vu is a Lecturer in Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University. Her research interests lie at the intersection of natural language processing and machine learning. Her current research focuses on efficient and trustworthy NLP methods to make NLP technologies more accessible to low-resource languages and reduce language and cultural barriers.

My current research interests include

  • Safe and trustworthy NLP: alignment and hallucination mitigation for LLMs
  • Cultural-aware machine translation
  • ML methods to facilitate efficient NLP such as active learning, transfer learning and semi-supervised learning

news

May 14, 2024 One paper about assessing the chain-of-thought reasoning in LLMs has been accepted to Findings of ACL24. Congratulations to Vuong and Linhao.
Jan 14, 2024 I am excited to become a lecturer at Monash University.
May 17, 2023 Proud to be the recipient of the 2022 Vice Chancellor‚Äôs Commendation Award for Thesis Excellence ūüŹÖ (Monash University).
Apr 23, 2023 Exciting to join DAAD AInet for the Postdoc-NeT-AI 04/2023 Networking Week ‚Äď Generative Models in Machine Learning.

selected publications

  1. cert-reasoning.png
    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 , and 2 more authors
    To appear in Findings of ACL24, 2024
  2. koala.png
    Koala: An Index for Quantifying Overlaps with Pre-training Corpora
    Thuy-Trang Vu, Xuanli He , Gholamreza Haffari , and Ehsan Shareghi
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , Dec 2023
  3. mdml.jpg
    Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?
    Thuy-Trang Vu, Shahram Khadivi , Xuanli He , Dinh Phung , and Gholamreza Haffari
    In Proceedings of the Seventh Conference on Machine Translation (WMT) , Dec 2022
  4. llm-factual.png
    Systematic Assessment of Factual Knowledge in Large Language Models
    Linhao Luo , Trang Vu, Dinh Phung , and Reza Haf
    In Findings of the Association for Computational Linguistics: EMNLP 2023 , Dec 2023
  5. guda.jpg
    Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
    Thuy-Trang Vu, Xuanli He , Dinh Phung , and Gholamreza Haffari
    In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , Nov 2021
  6. adv-mlm.jpg
    Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
    Thuy-Trang Vu, Dinh Phung , and Gholamreza Haffari
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , Nov 2020
  7. alil-dream.jpg
    Learning How to Active Learn by Dreaming
    Thuy-Trang Vu, Ming Liu , Dinh Phung , and Gholamreza Haffari
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , Jul 2019