Publications (13 Accepts / 2 Tech Reports / 4 Pending)
CV: 3 CVPR, 2 ICCV, 1 ECCV, 1 ICIP
ML: 3 NeurIPS
NLP: 1 ACL, 1 EMNLP
Journal: 1 Pattern Recognition
"GenRecal: Generation after Recalibration from Large to Small Vision Language Models"
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, and Yueh-Hua Wu
-CVPR 2026 Submission [link][project]
-Featured by 🤗 Huggingface Daily Papers
"Recursive Think-Answer Process for LLMs and VLMs"
Byung-Kwan Lee, Youngchae Chee, Yong Man Ro
-CVPR 2026 Submission [link][project]
"RefineBench: Evaluating Refinement Capability in Language Models"
Young-Jun Lee*, Seungone Kim*, Byung-Kwan Lee, Minkyeong Moon, Yechan Hwang, Jong Myoung Kim, Graham Neubig, Sean Welleck, Ho-Jin Choi
-ICLR 2026 Submission [link][project]
"Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model"
Young-Jun Lee, Byung-Kwan Lee, Dokyong Lee, junyoung youn, Kyeong-Jin Oh, Yechan Hwang, Ho-Jin Choi
-ICLR 2026 Submission [link][project]
"Unified Reinforcement and Imitation Learning for Vision-Language Models"
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu
-Neural Information Processing Systems (NeurIPS), 2025 [link][project]
"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
-IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [link][project]
-Knowledge-Intensive Multimodal Reasoning ICCV 2025 [link]
"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
-IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [link][project]
-Featured by 🤗 Huggingface Daily Papers
"Phantom of Latent for Large Language and Vision Models"
Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro
-ArXiv 2024, Technical Report [link][code]
-Featured by 🤗 Huggingface Daily Papers
"TroL: Traversal of Layers for Large Language and Vision Models"
Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro
-Empirical Methods in Natural Language Processing (EMNLP), 2024 [link][code]
-Featured by 🤗 Huggingface Daily Papers
"Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models"
Byung-Kwan Lee, Chae Won Kim, Beomchan Park, Yong Man Ro
-Neural Information Processing Systems (NeurIPS), 2024 [link][code]
-Featured by 🤗 Huggingface Daily Papers
-31th Samsung HumanTech Paper Awards in section of Computer Science & Engineering
"MoAI: Mixture of All Intelligence for Large Language and Vision Models"
Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro
-European Conference on Computer Vision (ECCV), 2024 [link][code]
-Featured by 🤗 Huggingface Daily Papers
"CoLLaVO: Crayon Large Language and Vision mOdel"
Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro
-Findings of the Association for Computational Linguistics (ACL), 2024 [link][code]
-Featured by 🤗 Huggingface Daily Papers
-2024 KCC XAI Workshop, Best Paper Awards
"Causal Unsupervised Semantic Segmentation"
Junho Kim*, Byung-Kwan Lee*, and Yong Man Ro
-Patten Recognition [link][code]
"Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning"
Byung-Kwan Lee*, Junho Kim*, and Yong Man Ro
-IEEE/CVF International Conference on Computer Vision (ICCV), 2023 [link][code]
"Mitigating Dataset Bias in Image Captioning through CLIP Confounder-free Captioning Network"
YeonJu Kim, Junho Kim, Byung-Kwan Lee, Sebin Shin, and Yong Man Ro
-IEEE International Conference on Image Processing (ICIP), 2023 [link][code]
"Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression"
Junho Kim*, Byung-Kwan Lee*, and Yong Man Ro
-IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [link][code]
"Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network"
Byung-Kwan Lee*, Junho Kim*, and Yong Man Ro
-IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [link][code]
"Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck"
Junho Kim*, Byung-Kwan Lee*, and Yong Man Ro
-Neural Information Processing Systems (NeurIPS), 2021 [link][code]
"Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference"
Byung-Kwan Lee, Youngjoon Yu, Yong Man Ro
-OpenReview 2020, Technical Report [link][code]
