Hello, 안녕하세요 👋🏻
I am Woongyeong “Charles” Yeo, a master’s student at the Kim Jaechul Graduate School of AI, KAIST, where I am advised by Prof. Sung Ju Hwang in the MLAI Lab. Prior to this, I received a B.S. in Computer Science and Mathematical Sciences from KAIST.
My research interests lie in AI systems that perceive, reason, and act as autonomous agents. I am particularly interested in efficient agentic systems with lifelong learning capabilities, enabling continual adaptation to evolving tasks, knowledge, environments, and multimodal inputs. Previous works include multimodal retrieval-augmented generation (RAG), multimodal memory agent for long video reasoning, and self-distillation for contextual integrity. In short, my research areas include, but are not limited to:
- Multimodal Large Language Models;
- Self-evolving AI;
- Efficient AI.
Please refer to my Curriculum Vitae for more details.
arXiv preprint, 2026
