Jaewook Lee

Make LLMs See Like Investigators, Not Just Think More: The Role of Structured Analysis in Investigative Reasoning ACL 2026 Simulated Students in Tutoring Dialogues: Substance or Illusion? ACL 2026 Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression ACL 2026 CoME: An Unlearning-based Approach to Conflict-free Model Editing NAACL 2025 Does the Emotional Understanding of LVLMs Vary Under High-Stress Environments and Across Different Demographic Attributes? ACL 2025 Do Large Language Models Have “Emotion Neurons”? Investigating the Existence and Role ACL 2025 Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction IJCNLP 2025 Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization EMNLP 2025 KoLEG: On-the-Fly Korean Legal Knowledge Editing with Continuous Retrieval EMNLP 2025 PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs EMNLP 2025 Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent ICML 2025 Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? EMNLP 2025 Small Changes, Big Impact: How Manipulating a Few Neurons Can Drastically Alter LLM Aggression ACL 2025 StepKE: Stepwise Knowledge Editing for Multi-Hop Question Answering EMNLP 2025 Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts EMNLP 2024 Are Self-Attentions Effective for Time Series Forecasting? NeurIPS 2024 Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models NAACL 2024 Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank EMNLP 2024 Fair Sampling in Diffusion Models through Switching Mechanism AAAI 2024 Fundamental Benefit of Alternating Updates in Minimax Optimization ICML 2024 Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation EACL 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models ACL 2024 A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models EMNLP 2023 CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients EMNLP 2023 Differentially Private Sharpness-Aware Training ICML 2023 Fantastic Robustness Measures: The Secrets of Robust Generalization NeurIPS 2023 Fast and Differentially Private Fair Clustering IJCAI 2023 Implicit Jacobian regularization weighted with impurity of probability output ICML 2023 Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond ICML 2023 Parameter-free HE-friendly Logistic Regression NeurIPS 2021 Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples NeurIPS 2021 Understanding Catastrophic Overfitting in Single-step Adversarial Training AAAI 2021 Lipschitz-Certifiable Training with a Tight Outer Bound NeurIPS 2020