Selected Publications

All publications are listed on Google Scholar.

2026

  1. NeurIPS Workshop
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    DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling
    Seongheon Park, Heecheol Kim, Shulin Tian, Lilika Makabe, Namiko Saito, Katsushi Ikeuchi, Sharon Li, and Yasuyuki Matsushita
    PTA: From Pretrained Representations to Acting Agents (NeurIPS Workshop), 2026
    *Work done at Microsoft Research Asia–Tokyo.
    arXiv
  2. NeurIPS
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    Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
    Seongheon Park, Wendi Li, Changdae Oh, Samuel Yeh, Zsolt Kira, Michael Hagenow, and Sharon Li
    Conference on Neural Information Processing Systems (NeurIPS), 2026
    arXiv
  3. ACL (Main)
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    Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
    Changdae Oh, Seongheon Park, Toeun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Xuefeng Du, Hamed Hassani, Paul Bogdan, Dawn Song, and Sharon Li
    Annual Meeting of the Association for Computational Linguistics (ACL), 2026
    arXiv
  4. ACL (Findings)
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    VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
    Seongheon Park, Changdae Oh, Hyeongkyu Choi, Xuefeng Du, and Sharon Li
    Annual Meeting of the Association for Computational Linguistics (ACL), 2026
    arXiv

2025

  1. NeurIPS
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    GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
    Seongheon Park, and Sharon Li
    Conference on Neural Information Processing Systems (NeurIPS) , 2025
    arXiv
  2. ICML
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    Steer LLM Latents for Hallucination Detection
    Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, and Sharon Li
    International Conference on Machine Learning (ICML), 2025
    arXiv

2023

  1. WACV
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    Normality guided multiple instance learning for weakly supervised video anomaly detection
    Seongheon Park, Hanjae Kim, Minsu Kim, Dahye Kim, and Kwanghoon Sohn
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
    PDF