I am a third-year undergraduate student at National University of Singapore (School of Computing), double majoring in Computer Science (AI specialization) and Mathematics. I’m driven by a curiosity about whether AI systems can truly innovate on their own (imagine how exciting it is when an agent independently rediscovering Newton’s Second Law!) and especially fascinated by how models learn: their training mechanisms, paradigms, and the reasoning patterns that emerge when they face complex, real-world situations. At the same time, I’m excited about interdisciplinary frontiers, particularly AI for Science, where intelligent systems can accelerate discovery across fields. Outside of research, I’m a football fan and a music enthusiast. Feel free to connect!

🔥 News

• 2026.04:🎉 “Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs” has been accepted to ACL 2026 Findings!

📝 Publications

ACL 2026 Findings

Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs

Zhiyuan Hu^†, Yucheng Wang^†, Yufei He^†, Jiaying Wu, Yilun Zhao, See-Kiong Ng, Cynthia Breazeal, Anh Tuan Luu, Hae Won Park, Bryan Hooi

^† Co-first author.

ACL 2026 Findings (arXiv:2601.08763)
arXiv · PDF

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning

Zhiyuan Hu, Yunhai Hu, Juncheng Liu, Shuyue Stella Li, Yucheng Wang, Zhen Xu, See-Kiong Ng, Anh Tuan Luu, Xinxing Xu, Bryan Hooi, Cynthia Breazeal, Hae Won Park

arXiv:2601.09667 (2026)
arXiv · PDF