About me

I am a second-year Ph.D. student at MIT EECS & LIDS, advised by Asu Ozdaglar. I am closely working with Kaiqing Zhang.

My current research interest is multi-agent learning:

• LLM Theory (including provable super-human AI, alignment problem, etc..), Intersection of Multi-agent Reinforcement Learning and Game Theory
• DL/RL (Theory): Multi-agent Reinforcement Learning (with Game Theory), Diffusion Model, trajectory generation problem.
• Blockchain and DeFi system.

Feel free to reach me! I actively discuss various topics with folks! I am open to both collaborating/advising students (UROP students, not restricted to MIT and SNU), so please don’t hesitate to reach out if you’re excited about these topics and would like to work together!

I worked with Prof. Taesung Park and Ernest K. Ryu at Seoul National University. Also, I did a research internship in NAVER AI Lab, advised by Sangdoo Yun and Sanghyuk Chun. I researched Deep Learning Theory with Computer Vision.

I have held a certification in Korean actuary since 2018.

I run ML-Theory-Korea with my colleagues. Feel free to email me (cpark97 at mit.edu) to join ML-theory-Korea. We are actively researching several areas.

Mentee

Jaeyeon Kim (SNU): 2022-2023. Now, he is my great co-worker.

News

• March 2024: A paper on LLM-no-regret has been accepted for an oral presentation for ICLR 2024 AGI Workshop: How Far Are We From AGI. See yall in Vienna.
• February 2024: A paper on Personalized-RLHF is acceppted at CVPR 2024. I contributed by providing efficient RLHF with groupwise comparison, and its theoretical analysis. Also, a paper on Inequality-to-optimal-method is accepted at JMLR. This work was done when I was an undergraduate intern at SNU.
• February 2024 I got a master’s degree!
• November 2023: I am honored to be selected as a top reviewer in NeurIPS 2023.
• September 2023: I am honored to be selected as Siebel Scholars Recipient.
• September 2023: Papers on Markov Network Games and H-duality are accepted at NeurIPS 2023.
• September 2022: Paper on a Loss function perspective of mixed sample data augmentation accepted at NeurIPS 2022. This work was done when I was an intern at NAVER AI Lab. I got NeurIPS travel awards!
• September 2022: I started my PhD at MIT! I also got a Xianhong Wu Fellowship from MIT.

Contact

Email: cpark97[at]mit.edu