Seongheon Park

According to our database, Seongheon Park authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring.

Seongheon Park, Wendi Li, Changdae Oh, Samuel Yeh, Zsolt Kira, Michael Hagenow, Sharon Li

CoRR, May, 2026

VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation.

Seongheon Park, Changdae Oh, Hyeong Kyu Choi, Xuefeng Du, Sharon Li

CoRR, February, 2026

Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents.

Changdae Oh, Seongheon Park, To Eun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Xuefeng Du, Hamed Hassani, Paul Bogdan, Dawn Song, Sharon Li

CoRR, February, 2026

2025

Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding.

Lin Long, Changdae Oh, Seongheon Park, Yixuan Li

CoRR, September, 2025

GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity.

Seongheon Park, Yixuan Li

CoRR, August, 2025

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations.

Jinyuan Luo, Zhen Fang, Yixuan Li, Seongheon Park, Ling Chen

CoRR, June, 2025

GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization.

Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, Yixuan Li

CoRR, May, 2025

How to Steer LLM Latents for Hallucination Detection?

Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li

CoRR, March, 2025

Can Your Uncertainty Scores Detect Hallucinated Entity?

Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li

CoRR, February, 2025

HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection.

Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li

Trans. Mach. Learn. Res., 2025

Position: Challenges and Future Directions of Data-Centric AI Alignment.

Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Steer LLM Latents for Hallucination Detection.

Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference.

Seongheon Park, Hyuk Kwon, Kwanghoon Sohn, Kibok Lee

CoRR, 2024

2023

Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection.

Seongheon Park, Hanjae Kim, Minsu Kim, Dahye Kim, Kwanghoon Sohn

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Language-free Training for Zero-shot Video Grounding.

Dahye Kim, Jungin Park, Jiyoung Lee, Seongheon Park, Kwanghoon Sohn

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning.

Hanjae Kim, Jiyoung Lee, Seongheon Park, Kwanghoon Sohn

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification.

Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, Kwanghoon Sohn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023