Hsun-Yu Kuo

I am an M.Sc. student in Computer Science at EPFL, specialising in computer science theory. My research interests include data-centric AI, reinforcement learning, robustness, extrapolation, and causality. More broadly, I am interested in how diversity can help shape better AI systems and a better society.

I am currently a project student at the MLO Lab at EPFL, where I work with Martin Jaggi and El Mahdi Chayti. Previously, I interned with the Robust Machine Learning Group at the Max Planck Institute for Intelligent Systems and the CKIP Lab at Academia Sinica.

Feel free to reach out if you would like to discuss research or potential collaboration.

News

Aug 2025	Gave a talk on synthetic data weighting at the Guided Generation Group (GGG).
Jan 2025	Our paper, “Not All LLM-Generated Data Are Equal”, was accepted to ICLR 2025 and selected as a Spotlight.

Selected Publications

When to Stop and Data Order Matter: On Extrapolation in Looped Transformers

Hsun-Yu Kuo, El Mahdi Chayti, Patrik Reizinger, and 2 more authors

2026

Working paper in progress

Bib

@misc{kuo2025looped,
  title = {When to Stop and Data Order Matter: On Extrapolation in Looped Transformers},
  author = {Kuo, Hsun-Yu and Chayti, El Mahdi and Reizinger, Patrik and Jaggi, Martin and Brendel, Wieland},
  year = {2026},
  note = {Working paper in progress},
}

ICLR ’25

Spotlight

Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification

Hsun-Yu Kuo, Yin-Hsiang Liao, Yu-Chieh Chao, and 2 more authors

Proceedings of the 13th International Conference on Learning Representations, 2025

Spotlight (top 5.1%)

Bib Website

@article{kuo2025llmgenerated,
  title = {Not All {LLM}-Generated Data Are Equal: Rethinking Data Weighting in Text Classification},
  author = {Kuo, Hsun-Yu and Liao, Yin-Hsiang and Chao, Yu-Chieh and Ma, Wei-Yun and Cheng, Pu-Jen},
  journal = {Proceedings of the 13th International Conference on Learning Representations},
  year = {2025},
  note = {Spotlight (top 5.1\%)},
  url = {https://openreview.net/forum?id=oI5tZaWkF9},
}