Changdae Oh - RankMe

31 papers A* 6A 1Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph Perceiver IO: A general architecture for graph-structured data. Pattern Recognit. Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
2026	J	`jnl`	How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability. CoRR Shawn Im, Changdae Oh, Zhen Fang, Sharon Li
2026	J	`jnl`	Thinking Makes LLM Agents Introverted: How Mandatory Thinking Can Backfire in User-Engaged Agents. CoRR Jiatong Li, Changdae Oh, Hyeong Kyu Choi, Jindong Wang, Sharon Li
2026	J	`jnl`	Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents. CoRR Changdae Oh, Seongheon Park, To Eun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Xuefeng Du, Hamed Hassani, Paul Bogdan, Dawn Song, Sharon Li
2026	J	`jnl`	VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation. CoRR Seongheon Park, Changdae Oh, Hyeong Kyu Choi, Xuefeng Du, Sharon Li
2025	A*	`conf`	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. ICLR Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2025	J	`jnl`	General Exploratory Bonus for Optimistic Exploration in RLHF. CoRR Wendi Li, Changdae Oh, Sharon Li
2025	J	`jnl`	Multi-purpose technology commercialization recommender system with large-scale Korean language model. J. Supercomput. Kangjun Noh, Hyeji Hwang, YongTaek Lim, Changdae Oh, Seungyeon Kim, Eunkyeong Lee, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
2025	J	`jnl`	TC-BERT: large-scale language model for Korean technology commercialization documents. J. Supercomput. Taero Kim, Changdae Oh, Hyeji Hwang, Eunkyeong Lee, Yewon Kim, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
2025	J	`jnl`	Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding. CoRR Lin Long, Changdae Oh, Seongheon Park, Yixuan Li
2025	A*	`conf`	Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach. ICML Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li
2025	J	`jnl`	Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach. CoRR Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li
2025	J	`jnl`	Visual Instruction Bottleneck Tuning. CoRR Changdae Oh, Jiatong Li, Shawn Im, Yixuan Li
2024	J	`jnl`	Bibimbap : Pre-trained models ensemble for Domain Generalization. Pattern Recognit. Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, Kyungwoo Song
2024	J	`jnl`	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. CoRR Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2024	J	`jnl`	Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism. CoRR Sangyoun Lee, Juho Jung, Changdae Oh, Sunghee Yun
2024	J	`jnl`	Language model-guided student performance prediction with multimodal auxiliary information. Expert Syst. Appl. Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song
2024	J	`jnl`	Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding. CoRR Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen
2024	A	`conf`	Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. ECAI Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song
2024	J	`jnl`	Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. CoRR Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song
2024	J	`jnl`	Robust Adaptation of Foundation Models with Black-Box Visual Prompting. CoRR Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo Song
2024	A*	`conf`	Towards Calibrated Robust Fine-Tuning of Vision-Language Models. NeurIPS Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song
2023	A*	`conf`	BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CVPR Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
2023	J	`jnl`	BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CoRR Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
2023	A*	`conf`	Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song
2023	J	`jnl`	Robust Contrastive Learning With Dynamic Mixed Margin. IEEE Access Junhyuk So, YongTaek Lim, Yewon Kim, Changdae Oh, Kyungwoo Song
2023	J	`jnl`	Towards Calibrated Robust Fine-Tuning of Vision-Language Models. CoRR Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song
2022	J	`jnl`	Graph Perceiver IO: A General Architecture for Graph Structured Data. CoRR Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
2022	A*	`conf`	Learning Fair Representation via Distributional Contrastive Disentanglement. KDD Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
2022	J	`jnl`	Learning Fair Representation via Distributional Contrastive Disentanglement. CoRR Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
2022	J	`jnl`	Multi-Modal Mixup for Robust Fine-tuning. CoRR Junhyuk So, Changdae Oh, Minchul Shin, Kyungwoo Song