I'm a 3rd-year Ph.D. student at the University of Wisconsin-Madison Computer Sciences department. I am fortunate to be advised by Professor Sharon Yixuan Li, and I have also been advised by Professor Hyunwoo J. Kim as a Master's student in the Computer Science and Engineering department at Korea University.
My research goal is to make AI Agents reliable in real-world applications. Reliability in agentic AI systems can be examined from multiple perspectives, e.g., architectural design, quality of reasoning, autonomous decision-making, and inter-agent communication. At present, my primary focus is on the reliability of interactions within multi-agent systems, where coordination, debate, and collective reasoning play a central role. Beyond this, I have explored a broad range of domains—spanning computer vision, natural language processing, knowledge graph reasoning, reinforcement learning, efficient deep learning, and financial machine learning—aiming to bring diverse perspectives to the study of dependable AI agents.
🪧 I am actively seeking internship opportunities for 2026 Summer!
Research Interests
Reliable and Safe AI Agents
Multi-Agent Systems
News
Selected Publications
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
Hyeong Kyu Choi, Xiaojin Zhu, Sharon Li
Advances in Neural Information Processing Systems (NeurIPS) Spotlight, 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options
Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
Annual Meeting of the Association for Computational Linguistics (ACL Main), 2025.
How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
Hyeong Kyu Choi*, Maxim Khanov*, Hongxin Wei, Yixuan Li
International Conference on Machine Learning (ICML), 2025
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
Hyeong Kyu Choi, Yixuan Li
International Conference on Machine Learning (ICML), 2024
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
Advances in Neural Information Processing Systems (NeurIPS), 2023
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers
Hyeong Kyu Choi*, Joonmyung Choi*, Hyunwoo J. Kim
Advances in Neural Information Processing Systems (NeurIPS), 2022
Previous Collaborators