publications

/* denotes equal contribution.

2025

  1. AAAI
    DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
    Daewon Chae*, June Suk Choi*, Jinkyu Kim^, and Kimin Lee^
    AAAI Conference on Artificial Intelligence (Oral Presentation), 2025
    Paper
  2. Preprint
    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, and 6 more authors
    Arxiv Preprint, 2025
    Paper Summary

2024

  1. Preprint
    ENTP: Encoder-only Next Token Prediction
    Ethan Ewer*, Daewon Chae*, Thomas Zeng*, Jinkyu Kim, and Kangwook Lee
    Arxiv Preprint, 2024
    Paper Summary Website
  2. ICMLW
    Instructbooth: Instruction-following personalized text-to-image generation
    Daewon Chae, Nokyung Park, Jinkyu Kim, and Kimin Lee
    ICML Workshop on Foundation Models in the Wild, 2024
    Paper Website
  3. ICPR
    Clustering-based Image-Text Graph Matching for Domain Generalization
    Nokyung Park, Daewon Chae, Jeongyong Shim, Sangpil Kim, Eun-Sol Kim, and Jinkyu Kim
    International Conference on Pattern Recognition, 2024
    Paper
  4. ICPR
    Text-driven Prototype Learning for Few-Shot Class-Incremental Learning
    Seongbeom Park*, Haeji Jung*, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Seunghyun Park, and Jinkyu Kim
    International Conference on Pattern Recognition, 2024
    Paper

2023

  1. ICUFN
    Re-ID Technology for V2I based Cooperative Driving Protocol
    Junhyek Jang, Kitaeg Lim, Sanghun Yoon, Daewon Chae, and Soohyun Jang
    International Conference on Ubiquitous and Future Networks, 2023
    Paper