Seongheon Park
Contact. seongheon_park [at] cs [dot] wisc [dot] edu | CV
1210 W Dayton St
Madison, WI 53706
Hello! I’m a third-year PhD student in the Computer Sciences department at the University of Wisconsin-Madison, where I am fortunate to be advised by Prof. Sharon Li. Previously, I completed my MS degree at Yonsei University in the Electrical and Electronic Engineering department under the supervision of 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! |
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
- 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)