Rui Wang (王瑞)
Computer Science & Artificial Intelligence
I am a third-year undergraduate student at The Hong Kong University of Science and Technology (HKUST), pursuing a Bachelor of Engineering in Computer Science with an Extended Major in Artificial Intelligence. I completed a semester exchange at The University of Texas at Austin (UT Austin) in May 2026. I am currently working at AQUMON (Shenzhen) as an AI Large Language Model Research Intern through the HKUST CSE Co-op Program. I am also an incoming PhD student of Professor Yangqiu Song at CSE, HKUST.
My research interests broadly lie in Large Language Models (LLMs) and their reasoning capabilities. Specifically, I focus on:
- Decisions under risk and uncertainty
- Confidence calibration
- Robustness and adaptability
Feel free to reach out.
I always feel lucky to meet great mentors along my journey, including and not limited to, Mr. Jiayu Liu, Ms. Qing Zong.
🔥 News
📚 Publications
PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
Jiayu Liu, Qihan Lin, Cheng Qian, , Emre Can Acikgoz, Xiaocheng Yang, Jiateng Liu, Zhenhailong Wang, Xiusi Chen, Heng Ji, Dilek Hakkani-Tur
TL;DR: PlanBench-XL is an interactive benchmark with 327 retail tasks and 1,665 tools, showing that even leading LLM agents struggle with long-horizon planning in large, imperfect tool ecosystems.
Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty
, Qihan Lin, Jiayu Liu, Qing Zong, Tianshi Zheng, Dadi Guo, Haochen Shi, Weiqi Wang, Yangqiu Song
TL;DR: A three-stage evaluation grounded in Prospect Theory shows that LLM decision-making is not reliably described by the framework and becomes especially unstable under epistemic uncertainty.
NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems
Jiayu Liu, , Qing Zong, Yumeng Wang, Cheng Qian, Qingcheng Zeng, Tianshi Zheng, Haochen Shi, Dadi Guo, Baixuan Xu, Chunyang Li, Yangqiu Song
TL;DR: NOVA is a noise-aware verbal confidence calibration framework that substantially improves the reliability of RAG systems when retrieved evidence is contradictory or irrelevant.
📝 Under Review
Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design
Qing Zong, Jiayu Liu, Junhao Shen, Zecong Tang, Linsi Wu, Yuxuan Liu, , Zhaowei Wang, Weiqi Wang, Cheng Qian, Xiusi Chen, Yangqiu Song
TL;DR: This survey proposes a progressive three-stage taxonomy of co-evolution in agentic systems — agent–agent, agent–environment, and meta co-evolution — laying a unified foundation for open-ended systems that improve beyond fixed human-designed paths.
🏫 Education
The Hong Kong University of Science and Technology
Sep 2023 - May 2027Bachelor of Engineering in Computer Science - Extended Major in AI
The University of Texas at Austin
Jan 2026 - May 2026Semester Exchange, Electronic and Computer Engineering
University College London
Jul 2024Summer School
💼 Internships
AQUMON
Jun 2026 - PresentAI Large Language Model Research Intern, Shenzhen
🤝 Services
Teaching Assistant
HKUSTCOMP1021: Introduction to Computer Science
Peer Mentor
HKUSTCSE Peer Mentor Program
🔗 Connect
I am always open to discussing research opportunities and collaborations. Please feel free to reach out.