Daewon Chae
cdw098[at]korea[dot]ac[dot]kr
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Hello! I am a Master student in Computer Science at Korea University, advised by Prof. Jinkyu Kim. I am currently collaborating closely with Prof. Kimin Lee at KAIST. Previously, I was a visiting student at the Lee Lab at University of Wisconsin-Madison, under the supervision of Prof. Kangwook Lee.
My long-term research goal is to develop capable and robust AI agents. To achieve this, my current research focuses on advancing generative foundation models, such as large language models (LLMs) and text-to-image diffusion models. Specifically, I have focused on exploring the property of generative modeling (e.g., next-token prediction) and developing effective post-training methods (e.g., RL fine-tuning).
📌 You can find my CV here
News
Dec 09, 2024 | 📝 Our paper got accepted to AAAI 2025 (Oral) |
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Oct 02, 2024 | 📝 New preprint realeased: Check out ENTP |
Jul 03, 2024 | 📝 Our paper got accepted to ICMLW 2024 |
Jul 01, 2024 | 📚 I have started as a visiting researcher at the Lee Lab at University of Wisconsin-Madison |
Publications
- AAAIDiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion ModelsAAAI Conference on Artificial Intelligence (Oral Presentation), 2025
- ICPRClustering-based Image-Text Graph Matching for Domain GeneralizationInternational Conference on Pattern Recognition, 2024
- ICPRText-driven Prototype Learning for Few-Shot Class-Incremental LearningInternational Conference on Pattern Recognition, 2024
- ICUFNRe-ID Technology for V2I based Cooperative Driving ProtocolInternational Conference on Ubiquitous and Future Networks, 2023