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 the development of multimodal large language models (MLLMs) with a strong focus on their practical applications in real-world scenarios. Previous work includes video understanding for out-of-distribution (OOD) scenarios and multimodal retrieval-augmented generation (RAG). Recently, I am working on memory agents, enabling MLLMs to store, retrieve, and reason over ultra-long context sequences. In short, my research areas include, but are not limited to:
Please refer to my Curriculum Vitae for more details.
| [Sep. 2025] | Joining MLAI Lab at KAIST as a master’s student. 👨🏻🎓 |
| [Apr. 2025] | Our new preprint, UniversalRAG, is out on arXiv. 🔥 |
| [Feb. 2025] | VideoICL is accepted to CVPR 2025! 🎉 |
