1210 W Dayton St
Madison, WI 53706
Hello! I’m a third-year Ph.D. student in the Department of Computer Sciences at the University of Wisconsin-Madison, where I am fortunate to be advised by Prof. Sharon Li. Previously, I received my M.S. and B.S. degrees in Electrical and Electronic Engineering from Yonsei University, where I was advised by Prof. Kwanghoon Sohn and Prof. Kibok Lee.
My research focuses on making foundation models (LLMs, LVLMs, and VLAs) safe and reliable in real-world deployment. Specifically, I study why and how these models fail and how to monitor and correct them through:
- Failure detection, mitigation, and recovery
- Failure reasoning and diagnosis
- Latent-space interpretability
These are crucial for preventing catastrophic failures in human-facing and industrial applications, and for enabling robust agentic systems to stop, replan, and incorporate human intervention in an interpretable way. I am also broadly interested in multimodal models and post-training.
News
| Sep 24, 2026 | Two papers have been accepted to NeurIPS 2026! 🌟 |
|---|---|
| Sep 21, 2026 | Excited to start my Student Researcher position at Google |
| May 18, 2026 | I will be joining Microsoft Research Asia-Tokyo this May as a research intern, working on Embodied AI agents |
| Apr 14, 2026 | I have passed my PhD qualifying exam! |
| Apr 06, 2026 | Two papers have been accepted to ACL 2026! |
Professional Experience
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Google
Sep 2026 – Present
Student Researcher · LLM agents
New York, United States
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Microsoft Research Asia–Tokyo
May 2026 – Aug 2026
Research Intern · VLAs
Tokyo, Japan
Selected Publications
All publications are listed on Google Scholar.
- NeurIPS
Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime MonitoringConference on Neural Information Processing Systems, Sep 2026 - NeurIPS
Neglected Free Lunch from Post-training: Progress Advantage for LLM AgentsConference on Neural Information Processing Systems, Sep 2026 - ACL (Main)
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics, Feb 2026 - ACL (Findings)
VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationAnnual Meeting of the Association for Computational Linguistics, Jan 2026 - NeurIPS
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local SimilarityConference on Neural Information Processing Systems, Jul 2025 - ICML
Steer LLM Latents for Hallucination DetectionInternational Conference on Machine Learning, May 2025 - CVPR Workshop
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive InferenceCVPR Workshop on Computer Vision in the Wild, Jun 2024 - WACV
Normality guided multiple instance learning for weakly supervised video anomaly detectionIEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2023
Reviewer Experience
- Conference: CVPR, ECCV, ACL, NeurIPS, ICLR, AAAI
- Journal: TPAMI, PR
Miscellaneous
Outside of research, I love playing the piano 🎹, listening to all kinds of music and attending concerts 🎶, and exploring art and architecture 🎨🏛️. If you share any of these interests, I’d love to connect!
Languages 🌐
Korean (Native), English, Japanese (JLPT N1)