Han, Seungju

16 publications

ICLR 2025 AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text Against Web Text Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Chandu, Nouha Dziri, Yejin Choi

NeurIPS 2025 Prismatic Synthesis: Gradient-Based Data Diversification Boosts Generalization in LLM Reasoning Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi

ICLR 2025 Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation Byungjai Kim, Chanho Ahn, Wissam J. Baddar, Kikyung Kim, Huijin Lee, Saehyun Ahn, Seungju Han, Sungjoo Suh, Eunho Yang

NeurIPS 2024 WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs Seungju Han, Kavel Rao, Allyson Ettinger, Liwei Jiang, Bill Yuchen Lin, Nathan Lambert, Yejin Choi, Nouha Dziri

NeurIPS 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri

ICMLW 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Nouha Dziri, Yejin Choi

CVPR 2023 BiasAdv: Bias-Adversarial Augmentation for Model Debiasing Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han

ICCV 2023 CHAMPAGNE: Learning Real-World Conversation from Large-Scale Web Videos Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu

ICCV 2023 CORE: Co-Planarity Regularized Monocular Geometry Estimation with Weak Supervision Yuguang Li, Kai Wang, Hui Li, Seon-Min Rhee, Seungju Han, Jihye Kim, Min Yang, Ran Yang, Feng Zhu

CVPR 2023 Rethinking Feature-Based Knowledge Distillation for Face Recognition Jingzhi Li, Zidong Guo, Hui Li, Seungju Han, Ji-won Baek, Min Yang, Ran Yang, Sungjoo Suh

ICCV 2023 Sample-Wise Label Confidence Incorporation for Learning with Noisy Labels Chanho Ahn, Kikyung Kim, Ji-won Baek, Jongin Lim, Seungju Han

CVPR 2022 Pushing the Performance Limit of Scene Text Recognizer Without Human Annotation Caiyuan Zheng, Hui Li, Seon-Min Rhee, Seungju Han, Jae-Joon Han, Peng Wang

CVPR 2022 Towards Accurate Facial Landmark Detection via Cascaded Transformers Hui Li, Zidong Guo, Seon-Min Rhee, Seungju Han, Jae-Joon Han

CVPR 2021 Disentangling Label Distribution for Long-Tailed Visual Recognition Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang

CVPR 2021 Quality-Agnostic Image Recognition via Invertible Decoder Insoo Kim, Seungju Han, Ji-won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin

ICML 2020 Meta Variance Transfer: Learning to Augment from the Others Seong-Jin Park, Seungju Han, Ji-Won Baek, Insoo Kim, Juhwan Song, Hae Beom Lee, Jae-Joon Han, Sung Ju Hwang