Seojeong Park

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seojeong.park@kaist.ac.kr


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I am a Ph.D. student at the Graduate School of AI at KAIST, advised by Prof. Hyunjung Shim.

My research interests lie in reliable multimodal and agentic AI. I study evidence-grounded evaluation for LLM-based judges, focusing on how evaluators use visual and contextual evidence when assessing model outputs. I am also interested in extending this perspective to trajectory-aware evaluation for agentic systems and scalable oversight.


Education

  • Ph.D. in Graduate School of AI, KAIST, Seoul, Republic of Korea
    • Advisor: Hyunjung Shim
    • 2024.02 - Present
  • B.S. in Computer Science, Yonsei University, Seoul, Republic of Korea
    • 2020.03 - 2024.02


Research Experience


Publications

  1. ECCV
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    Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views
    Jiho Choi*, Seonho Lee*, Seojeong Park, and Hyunjung Shim
    The 19th European Conference on Computer Vision , 2026
  2. ICML
    icml2026_perceptionjudge.png
    Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
    Seojeong Park*, Jiho Choi*, Junyong Kang, Seonho Lee, Jaeyo Shin, and Hyunjung Shim
    The Forty-Third International Conference on Machine Learning, 2026
    PDF Code Website
  3. ACL
    acl2026_posterforest.png
    PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
    Jiho Choi*, Seojeong Park*, Seongjong Song, and Hyunjung Shim
    The 64th Annual Meeting of the Association for Computational Linguistics , 2026
    PDF Code
  4. WACV
    wacv2026_momentmix.png
    MomentMix Augmentation with Length-Aware DETR for Temporally Robust Moment Retrieval
    Seojeong Park, Jiho Choi, Kyungjune Baek, and Hyunjung Shim
    The IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
    PDF Code


Honors and Awards

  • 2020.03 - 2024.02: National Excellence Scholarship (Natural Sciences and Engineering), The Government of the Republic of Korea
  • Spring 2020, Fall 2020, Spring 2023 : Academic Excellence Award (Highest honors, Honors, Honors), Yonsei University
  • Spring 2023, Fall 2023: Software Capstone Design (1st Prize, 1st Prize), Yonsei University