Minsung Kim

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Hi!👋

I am M.S/Ph.D. student at the Machine Intelligence Lab at Seoul National University, advised by Prof. Kyomin Jung. My research focuses on Natural Language Processing.

News

Jan 22, 2026 Two papers accepted to ICLR 2026: Bilinear Relational Structure and Erase or Hide!
Sep 20, 2025 Our FaithUn paper is accepted to EMNLP 2025!
Mar 14, 2025 Two papers accepted to NAACL 2025: VLind-Bench (Findings) and Generating Diverse Hypotheses (Oral)!
Oct 01, 2024 Started research internship at Max Planck Institute for Security and Privacy (MPI-SP), Germany.
Jul 16, 2024 Our MVMR paper is accepted to CIKM 2024!

Education

M.S/Ph.D
Seoul National University, Seoul, Korea
Electrical and Computer Engineering
B.S
Seoul National University, Seoul, Korea
Electrical and Computer Engineering

Experience


Research Intern

2024 Oct - 2024 Dec

Publications

  1. How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
    Minsung Kim, Dong-Kyum Kim , Jea Kwon , Nakyeong Yang , Kyomin Jung , and Meeyoung Cha
    Sep 2025
  2. Rethinking Post-Unlearning Behavior of Large Vision-Language Models
    Minsung Kim, Nakyeong Yang , and Kyomin Jung
    arXiv preprint arXiv:2506.02541, Jun 2025
  3. Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
    Nakyeong Yang , Dong-Kyum Kim , Jea Kwon , Minsung Kim, Kyomin Jung , and Meeyoung Cha
    ICLR 2026, Aug 2025
  4. Bilinear relational structure fixes reversal curse and enables consistent model editing
    Dong-Kyum Kim , Minsung Kim, Jea Kwon , Nakyeong Yang , and Meeyoung Cha
    ICLR 2026, Aug 2025
  5. FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
    Nakyeong Yang , Minsung Kim, Seunghyun Yoon , Joongbo Shin , and Kyomin Jung
    EMNLP 2025, Apr 2025
  6. Generating Diverse Hypotheses for Inductive Reasoning
    Kang-il Lee , Hyukhun Koh , Dongryeol Lee , Seunghyun Yoon , Minsung Kim, and Kyomin Jung
    NAACL 2025 Oral, Apr 2025
  7. VLind-Bench: Measuring Language Priors in Large Vision-Language Models
    Kang-il Lee , Minbeom Kim , Seunghyun Yoon , Minsung Kim, Dongryeol Lee , Hyukhun Koh , and Kyomin Jung
    NAACL 2025 Findings, Apr 2025
  8. MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors
    Nakyeong Yang , Minsung Kim, Seunghyun Yoon , Joongbo Shin , and Kyomin Jung
    CIKM 2024, Oct 2024
  9. Fine-grained Gender Control in Machine Translation with Large Language Models
    Minwoo Lee , Hyukhun Koh , Minsung Kim, and Kyomin Jung
    NAACL 2024, Jun 2024
  10. Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
    Minwoo Lee , Hyukhun Koh , Kang-il Lee , Dongdong Zhang , Minsung Kim, and Kyomin Jung
    EMNLP 2023, Dec 2023