Chris Dongjoo Kim
Hi~ I am a researcher at Ai2, currently focusing on large multimodal models at the intersection of language and physical space, building AI that not only understands the world, but helps us act within it.
I obtained my Ph.D and M.S advised by Professor Gunhee Kim at Seoul National University, and my B.S. in Computer Science and Economics at the University of Toronto. The work during my Ph.D was supported by fellowships from Qualcomm, Naver, and Yulchon.
I am a Canadian who loves nature and especially fond of animals. On my spare time, I like to swim and do CrossFit.
Selected Publications
Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
Technical Report, 2025.
SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning
Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
AudioCaps: Generating Captions for Audios in The Wild
North American Chapter of the Association for Computational Linguistics (NAACL), 2019. 🏆 Oral presentation.
Industry Experience
Allen Institute for Artificial Intelligence
Feb. 2024 – Present
Sep. 2024 – Apr. 2025
Mar. 2021 – Sep. 2021
Sep. 2016 – Dec. 2017
Awards & Grants
- Seoul National University CSE Best Ph.D Thesis Award
- YoulChon AI Star Fellowship
- Naver Ph.D. Fellowship
- Seoul National University CSE Best Masters Thesis Award
- Qualcomm Innovation Fellowship
- Seoul National University Global Scholarship – Graduate Student Scholarship (Full tuition)
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Microsoft Research Asia (MSRA) Collaborative Research 2019 Award
Dr. Jingdong Wang, Dr. Jianlong Fu, Dr. Nan Duan - Google Travel Grant – Conference Travel Grant (NAACL)