2025 ACL 2026 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 ACL 2026 Findings Rethinking Post-Unlearning Behavior of Large Vision-Language Models Minsung Kim, Nakyeong Yang, and Kyomin Jung ICLR 2026 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 Bilinear relational structure fixes reversal curse and enables consistent model editing Dong-Kyum Kim, Minsung Kim, Jea Kwon, Nakyeong Yang, and Meeyoung Cha EMNLP 2025 FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, and Kyomin Jung ICLR Blogposts 2025 In Search of the Engram in LLMs: A Neuroscience Perspective on the Memory Functions in AI Models Minsung Kim, Jea Kwon, Dong-Kyum Kim, and Meeyoung Cha NAACL 2025 Oral Generating Diverse Hypotheses for Inductive Reasoning Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, and Kyomin Jung NAACL 2025 Findings 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 2024 CIKM 2024 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 NAACL 2024 Fine-grained Gender Control in Machine Translation with Large Language Models Minwoo Lee, Hyukhun Koh, Minsung Kim, and Kyomin Jung 2023 EMNLP 2023 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