M. Hung Nguyen

News

  • Jun 2025: Our paper on pedagogical feedback for LLMs in programming education was accepted at AIED 2025!
  • May 2025: Giving an invited talk at the MPI-SWS retreat on diversity in LLMs.
  • Jan 2025: Paper on curiosity-driven exploration accepted at ICLR 2025.
  • 2022: Awarded the ELLIS PhD Fellowship.
  • 2019: Awarded the Erasmus Mundus Joint Master Scholarship.
  • Sep 2024: Paper accepted at EDM 2024 on student modeling with LLMs.
  • Aug 2024: Paper accepted at Pattern Recognition Letters on meta-learning.
  • Apr 2022: NeurIPS Cross-Domain MetaDL challenge results paper accepted.
  • Jul 2022: Meta-learning challenge paper accepted at IJCNN.

About Me

I am a PhD student at the Max Planck Institute for Software Systems, as part of the ELLIS PhD Program (50 students selected out of 1,700 candidates in 2022). My research lies at the intersection of Diversity & Creativity of LLMs, Generative AI for Education, and Reinforcement Learning & AutoML, with a focus on developing methods that are both theoretically grounded and practically impactful.

I hold an Erasmus Mundus Joint M.Sc. in Big Data Management and Analytics (Université Paris-Saclay, UPC Barcelona, ULB Brussels) and a B.Sc. in Computer Science from Vietnam National University, Hanoi (High Distinction). Under the supervision of Adish Singla, I work on reinforcement learning algorithms and their applications to education and programming. I was also a Research Intern at INRIA, supervised by Isabelle Guyon and Lisheng Sun-Hosoya, where I worked on meta-learning from learning curves.

Selected Publications

For a complete list, see my Google Scholar.

2026

Enhancing Diversity of LLM-Generated Educational Tasks Website Paper GitHub

M. Hung Nguyen, Sebastian Tschiatschek, Adish Singla

Educational Data Mining (EDM) 2026

2025

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education Website Paper GitHub

Niklas Scholz, M. Hung Nguyen, Adish Singla, Tomohiro Nagashima

European Conference on Technology Enhanced Learning (ECTEL) 2025

2025

Synthesizing High-Quality Programming Tasks with LLM-Based Expert and Student Agents Website Paper GitHub

M. Hung Nguyen, Victor-Alexandru Padurean, Alkis Gotovos, Sebastian Tschiatschek, Adish Singla

International Conference on Artificial Intelligence in Education (AIED) 2025

2025

Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations Website Paper GitHub

M. Hung Nguyen, Sebastian Tschiatschek, Adish Singla

arXiv:2510.07064

2024

Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming Website Paper GitHub

M. Hung Nguyen, Sebastian Tschiatschek, Adish Singla

Educational Data Mining (EDM) 2024

2024

Meta-learning from Learning Curves for Budget-Limited Algorithm Selection Website Paper GitHub

M. Hung Nguyen, Lisheng Sun-Hosoya, Isabelle Guyon

Pattern Recognition Letters 185:225-231, 2024

2022

NeurIPS'22 Cross-Domain MetaDL Challenge: Results and Lessons Learned Website Paper GitHub

Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed Farahat, Dipanjan Ghosh, Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, M. Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jimin Wu, Xiaotian Yin

NeurIPS Competition & Demo Track 2022

2022

Meta-learning from Learning Curves: Challenge Design and Baseline Results Website Paper GitHub

M. Hung Nguyen, Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle Guyon

International Joint Conference on Neural Networks (IJCNN) 2022

Teaching & Services

Teaching Assistant
Generative AI for Education, Saarland University (WS 2025) · Generative AI for Creativity, Saarland University (SS 2026)
Reviewing
NeurIPS (2024) · AIED (2024) · EDM (2023)