I am a second-year PhD student in Data Science & AI at Monash University in Melbourne, Australia. I am supervised by Prof. Dinh Phung, Dr. Thuy-Trang Vu, and Dr. Linhao Luo.
I study safety, autonomy, and robustness in a Society of Intelligent Agents. My research aims to advance agentic systems and frontier models and enable large-scale coordination through agentic collectives and economies. This includes intelligent orchestration and communication, self-improvement, and agentic safety and autonomy. My broader work spans multi-agent coordination, LLM alignment, long-horizon planning and reasoning, retrieval-augmented generation, and model evaluation. My research has been published at EMNLP, COLM, CoNLL, NAACL, and LREC-COLING.
Before starting my PhD, I led LLM and RAG products from experimentation to deployment at MISA and was an AI Research Resident at VinAI Research (now part of Qualcomm), where I worked on weakly supervised learning and information extraction.
Education
Doctor of Philosophy in Data Science & Artificial Intelligence
Monash University · Melbourne, Australia · Jun. 2025–Present
Research: Safe and Autonomous Society of Intelligent Agents.
Supervisors: Prof. Dinh Phung, Dr. Thuy-Trang Vu, and Dr. Linhao Luo.
Bachelor of Computer Science
Hanoi University of Science and Technology · Hanoi, Vietnam · Aug. 2017–Aug. 2021
Thesis: An Uncertainty-Aware Encoder for Aspect Detection.
Best Thesis Presentation Award.
News
- [Paper]: The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems was accepted to AACL-IJCNLP 2026 (Findings).
- [Paper]: TriAlign was accepted to EMNLP 2026.
- [Milestone]: Passed my PhD confirmation milestone with the research proposal Toward Native Social Ability in Society of Intelligent Agents.
- [Paper]: Improving Table Understanding with LLMs and Entity-Oriented Search was accepted to COLM 2025.
- [Paper]: Planning for Success was accepted to CoNLL 2025.
- [Achievement]: Our Vietnamese LLM reached #1 on the VMLU leaderboard.
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- [Paper]: A Self-Enhancement Multitask Framework for Unsupervised Aspect Category Detection was accepted to EMNLP 2023.
- [Paper]: An Uncertainty-Aware Encoder for Aspect Detection was accepted to Findings of EMNLP 2021.
- [Award]: Received the Best Thesis Presentation Award at HUST.
Selected Publications
For a complete list, see my Google Scholar profile.
The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems
AACL-IJCNLP 2026 (Findings)
Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding
CoNLL 2025
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SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning
NAACL 2024 · Long Paper
Experience
- — Second-year PhD Student & Research Assistant, Monash University
- — Senior AI Engineer & LLM Team Lead, MISA
- — AI Research Resident, VinAI Research
- — Research Student, Data Science Laboratory, HUST
Academic Service
Teaching
- — Teaching Assistant, Natural Language Processing, Monash University
- — Teaching Assistant, Natural Language Processing, VinUniversity
- — Teaching Assistant, Web Mining and Graph Analytics, HUST