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.

  • My research interests lie in Large Language Models (LLMs), including LLM decision-making, uncertainty quantification, and Retrieval-Augmented Generation (RAG) systems.
  • Recently, I have been exploring Tool-use Agents and their applications in agentic AI settings.
  • I am actively looking for summer 2026 research internship opportunities. Feel free to reach out!

Currently, I am on a semester exchange at The University of Texas at Austin, where I am taking advanced courses in Software Engineering and Edge AI.

🔥 News

Jan 2026
📄 One paper on confidence calibration in RAG systems submitted to ACL 2026. [arXiv]
Jan 2026
✈️ Started semester exchange at The University of Texas at Austin.
Aug 2025
📝 One paper on LLM decision-making under epistemic uncertainty submitted to ACL 2026. [arXiv]

📝 Research

Revealing Instability of Decision-Making Research Figure

Revealing Instability of Decision-Making under Epistemic Uncertainty

Under Review (ACL) Aug 2025

First Author

  • Designed a three-stage experiment to evaluate LLM decision-making, benchmarking model behaviors against Prospect Theory axioms such as Loss Aversion and Asymmetric Risk Preferences
  • Revealed that modeling these systems with economic frameworks is not consistently reliable, particularly under diverse linguistic forms, highlighting potential Model Risk and instability
NAACL Framework Research Figure

Noise-Aware Verbal Confidence Calibration for LLMs in RAG Systems

Under Review (ACL) Jan 2026

Co-first Author

  • Developed NAACL, a framework that resolves RAG overconfidence by training models to explicitly discern retrieval noise and calibrate their verbal confidence

🎓 Education

The Hong Kong University of Science and Technology

Sep 2023 - May 2027

Bachelor of Engineering in Computer Science - Extended Major in AI

Cumulative GPA: 3.983 / 4.30
Major CGA: 4.073 / 4.30
Honors: Dean's List (All Semesters)
Scholarship: University Continuing Scholarship (Total 60,000 HKD)
Transcript: View PDF Here

The University of Texas at Austin

Jan 2026 - May 2026

Semester Exchange, Electronic and Computer Engineering

Coursework: Software Engineering, Machine Learning & Data Analytics for Edge AI

University College London

Jul 2024

Summer School

Programme: Short-term summer programme

🌟 Academic & Community Service

Teaching Assistant

COMP1021: Intro to Computer Science

Designed coding assignments and conducted tutorials for 50+ first-year undergraduates; received positive feedback for clarifying complex CS concepts

Mentor

CSE Peer Mentor Program

Provided academic guidance and career planning advice to junior students, fostering a collaborative learning environment

💻 Technical Skills

Machine Learning & Programming

Python PyTorch NumPy Scikit-Learn C++

Software Development

Git Bash Scripting GitHub Copilot Cursor

LLM Operations

vLLM LlamaFactory

Relevant Coursework

Data Structures (A+) Knowledge Discovery (A) Operating Systems Algorithms Probability (A+) Linear Algebra (A+)

📬 Get In Touch

Research Figure