| 2026 | AAAI | uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data. | Dahyun Chung, Donghyun Shin, Yujin Sung, Seunggi Moon, Jinwoo Jeon, Byung-Jun Lee |
| 2026 | ACL | GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making. | Sunguk Shin, Hayeong Lee, JunHo Seo, Jinho Lee, Myunsoo Kim, Minsuk Chang, Byung-Jun Lee |
| 2026 | ACL | SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger. | Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, Meeyoung Cha, Sungwon Park |
| 2025 | ACL | K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean. | Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee |
| 2025 | CVPR | Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training. | Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun Lee |
| 2025 | EMNLP | Rethinking DPO: The Role of Rejected Responses in Preference Misalignment. | Jae Hyeon Cho, JunHyeok Oh, Myunsoo Kim, Byung-Jun Lee |
| 2025 | EMNLP | Iterative Prompt Refinement for Safer Text-to-Image Generation. | Jinwoo Jeon, JunHyeok Oh, Hayeong Lee, Byung-Jun Lee |
| 2025 | ICML | NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations. | Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee |
| 2025 | ICML | Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning. | Sungjune Kim, Gyeongrok Oh, Heeju Ko, Daehyun Ji, Dongwook Lee, Byung-Jun Lee, Sujin Jang, Sangpil Kim |
| 2024 | AAAI | Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization. | Woosung Kim, Donghyeon Ki, Byung-Jun Lee |
| 2023 | CoNLL | Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation. | Donghyun Lee, Minkyung Park, Byung-Jun Lee |
| 2023 | IJCNLP | Improving Neural Machine Translation with Offline Evaluations. | Minkyung Park, Byung-Jun Lee |
| 2021 | ICLR | Representation Balancing Offline Model-based Reinforcement Learning. | Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim |
| 2021 | ICLR | Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic. | Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim |
| 2021 | ICML | OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. | Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim |
| 2020 | AAAI | Residual Neural Processes. | Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim |
| 2020 | ICML | Batch Reinforcement Learning with Hyperparameter Gradients. | Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim |
| 2017 | AISTATS | Hierarchically-partitioned Gaussian Process Approximation. | Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim |
| 2014 | SIGdial | Optimizing Generative Dialog State Tracker via Cascading Gradient Descent. | Byung-Jun Lee, Woosang Lim, Daejoong Kim, Kee-Eung Kim |
| 2013 | GPC | Effect of Genetic Parameters in Tour Scheduling and Recommender Services for Electric Vehicles. | Junghoon Lee, Gyung-Leen Park, Hye-Jin Kim, Byung-Jun Lee, Seulbi Lee, Dae-Yong Im |