Chae, Daewon

5 publications

AAAI 2025 DiffExp: Efficient Exploration in Reward Fine-Tuning for Text-to-Image Diffusion Models Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee

TMLR 2025 Encoder-Only Next Token Prediction Ethan Ewer, Daewon Chae, Thomas Zeng, Jinkyu Kim, Kangwook Lee

TMLR 2025 Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning Seongbeom Park, Hyunju Yun, Daewon Chae, Sungyoon Kim, Suhong Moon, Minwoo Kang, Seunghyun Park, Jinkyu Kim

ICML 2025 VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee

ICMLW 2024 InstructBooth: Instruction-Following Personalized Text-to-Image Generation Daewon Chae, Nokyung Park, Jinkyu Kim, Kimin Lee