| 2025 | CVPR | VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models. | Byung-Kwan Lee, Ryo Hachiuma, Yu-Chiang Frank Wang, Yong Man Ro, Yueh-Hua Wu |
| 2025 | ICCV | MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models. | Young-Jun Lee, Byung-Kwan Lee, Jianshu Zhang, Yechan Hwang, Byungsoo Ko, Han-Gyu Kim, Dongyu Yao, Xuankun Rong, Eojin Joo, Seung-Ho Han, Bowon Ko, Ho-Jin Choi |
| 2024 | ACL | CoLLaVO: Crayon Large Language and Vision mOdel. | Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro |
| 2024 | ECCV | MoAI: Mixture of All Intelligence for Large Language and Vision Models. | Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro |
| 2024 | EMNLP | TroL: Traversal of Layers for Large Language and Vision Models. | Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro |
| 2023 | CVPR | Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression. | Junho Kim, Byung-Kwan Lee, Yong Man Ro |
| 2023 | ICCV | Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning. | Byung-Kwan Lee, Junho Kim, Yong Man Ro |
| 2023 | ICIP | Mitigating Dataset Bias in Image Captioning Through Clip Confounder-Free Captioning Network. | Yeonju Kim, Junho Kim, Byung-Kwan Lee, Sebin Shin, Yong Man Ro |
| 2022 | CVPR | Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network. | Byung-Kwan Lee, Junho Kim, Yong Man Ro |
| 2006 | ICCSA | Enhanced Fuzzy Single Layer Learning Algorithm Using Automatic Tuning of Threshold. | Kwang-Baek Kim, Byung-Kwan Lee, Soon-Ho Kim |