Jaewook Lee
35 papers · 2020–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (9) π Interdisciplinary Bridge π Conference Polyglot (11) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (57)
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Conference Polyglot
(11)
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Academic Marathon
(5)
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Renaissance Researcher
(9)
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Prolific Year
(7)
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Century Club
(32)
ποΈ
Keyword Collector
(148)
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The Questioner
(6)
Conferences
EMNLP (9)
ACL (7)
ICML (5)
NIPS (5)
AAAI (2)
NAACL (2)
AACL (1)
CVPR (1)
EACL (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
large language model
(8)
text generation
(3)
differential privacy
(3)
knowledge editing
(3)
language learning
(3)
multilingual reasoning
(2)
privacy-preserving machine learning
(2)
korean language
(2)
generative model
(2)
reinforcement learning
(2)
diffusion model
(2)
stochastic gradient descent
(2)
adversarial robustness
(2)
evaluation metric
(2)
few-shot learning
(2)
adversarial training
(2)
multimodal learning
(2)
emotion recognition
(2)
privacy-preserving learning
(2)
language model
(2)
Papers
Simulated Students in Tutoring Dialogues: Substance or Illusion?
ACL 2026
Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression
ACL 2026
Make LLMs See Like Investigators, Not Just Think More: The Role of Structured Analysis in Investigative Reasoning
ACL 2026
PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs
EMNLP 2025
StepKE: Stepwise Knowledge Editing for Multi-Hop Question Answering
EMNLP 2025
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?
EMNLP 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
AACL 2025
Does the Emotional Understanding of LVLMs Vary Under High-Stress Environments and Across Different Demographic Attributes?
ACL 2025
Small Changes, Big Impact: How Manipulating a Few Neurons Can Drastically Alter LLM Aggression
ACL 2025
Do Large Language Models Have βEmotion Neuronsβ? Investigating the Existence and Role
ACL 2025
CoME: An Unlearning-based Approach to Conflict-free Model Editing
NAACL 2025
Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
ICML 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
IJCNLP 2025
KoLEG: On-the-Fly Korean Legal Knowledge Editing with Continuous Retrieval
EMNLP 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
EMNLP 2025
Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank
EMNLP 2024
Are Self-Attentions Effective for Time Series Forecasting?
NIPS 2024
Fair Sampling in Diffusion Models through Switching Mechanism
AAAI 2024
KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models
ACL 2024
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
CVPR 2024
Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
EACL 2024
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts
EMNLP 2024
Fundamental Benefit of Alternating Updates in Minimax Optimization
ICML 2024
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models
NAACL 2024
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
ICML 2023
Differentially Private Sharpness-Aware Training
ICML 2023
Fast and Differentially Private Fair Clustering
IJCAI 2023
A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models
EMNLP 2023
Fantastic Robustness Measures: The Secrets of Robust Generalization
NIPS 2023
Implicit Jacobian regularization weighted with impurity of probability output
ICML 2023
CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients
EMNLP 2023
Parameter-free HE-friendly Logistic Regression
NIPS 2021
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
NIPS 2021
Understanding Catastrophic Overfitting in Single-step Adversarial Training
AAAI 2021
Lipschitz-Certifiable Training with a Tight Outer Bound
NIPS 2020