Manh Nguyen
AI researcher | PhD Student @ Applied Artificial Intelligence Initiative
Hello, my name is Manh. I am a PhD student at A2I2, Deakin University, advised by Dr. Hung Le and Prof. Sunil Gupta. My research centers on the reliability and efficiency of large language models, with a focus on uncertainty estimation, adaptive computation, and multi-agent systems. Across these threads I lean toward practical NLP research, building robust and scalable systems that turn research ideas into real-world impact.
Prior to my PhD, I spent five years applying machine learning to real-world data science problems in industry.
news
| Aug 12, 2026 | Co-organizing the OE-Agent workshop on “Open and Efficient Agentic AI for Resource-Constrained Environments” at ACML 2026. Submissions are welcome — deadline 18 Oct 2026. |
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| Jun 12, 2026 | Won the People’s Choice Award at the Deakin A2I2 Three Minute Thesis (3MT) Heat for my talk “From Confident Lies to Trusted Answers”. |
| Jun 10, 2026 | Co-presented a talk on “Uncertainty Estimation in LLMs” with Dr. Hung Le at the StatML Seminar Series, CSIRO. |
| May 28, 2026 | One paper, titled “Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation” has been accepted to ECML PKDD 2026. |
| Apr 07, 2026 | One paper, titled “SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning” has been accepted to ACL 2026 (Findings). |
selected papers
- GRAD
