publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. 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, Feb 2026
    arXiv
  2. 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, Jan 2026
    arXiv
  3. ICLR
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    Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding
    Lin Long, Changdae Oh, Seongheon Park, and Sharon Li
    International Conference on Learning Representations, Jan 2026
    arXiv

2025

  1. Preprint
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    Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations
    Jinyuan Luo, Zhen Fang, Yixuan Li, Seongheon Park, and Ling Chen
    arXiv:2506.02696, Jun 2025
    arXiv
  2. NeurIPS
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    GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
    Seongheon Park, and Yixuan Li
    Conference on Neural Information Processing Systems, Jul 2025
    arXiv
  3. NeurIPS
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    GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
    Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, and Yixuan Li
    Conference on Neural Information Processing Systems, May 2025
    arXiv
  4. ICML
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    Steer LLM Latents for Hallucination Detection
    Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, and Yixuan Li
    International Conference on Machine Learning, May 2025
    arXiv
  5. ICML
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    Position: Challenges and Future Directions of Data-Centric AI Alignment
    Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, and Yixuan Li
    International Conference on Machine Learning, May 2025
    arXiv
  6. TMLR
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    HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection
    Min-Hsuan Yeh, Max Kamachee, Seongheon Park, and Yixuan Li
    Transactions on Machine Learning Research, Mar 2025
    arXiv

2024

  1. CVPR Workshop
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    Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
    Seongheon Park*, Hyuk Kwon*, Kwanghoon Sohn, and Kibok Lee
    CVPR Workshop on Computer Vision in the Wild, Jun 2024
    arXiv

2023

  1. ICCV
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    Hierarchical visual primitive experts for compositional zero-shot learning
    Hanjae Kim, Jiyoung Lee, Seongheon Park, and Kwanghoon Sohn
    IEEE/CVF International Conference on Computer Vision, Oct 2023
    arXiv
  2. CVPR
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    Partmix: Regularization strategy to learn part discovery for visible-infrared person re-identification
    Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, and Kwanghoon Sohn
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2023
    arXiv
  3. 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, Jan 2023
    PDF
  4. WACV
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    Language-free training for zero-shot video grounding
    Dahye Kim, Jungin Park, Jiyoung Lee, Seongheon Park, and Kwanghoon Sohn
    IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2023
    arXiv