Hi, I am a PhD student researching artificial intelligence at KAIST. I’ve also started working at AIXI Labs, a research lab focused on advancing theories to better understand and ultimately reduce AI x-risks.

These days I spend most of my time wondering how to broaden the scope of “agents” that can be talked about formally. I’m also interested in theory of mind, multi-agent systems, and AI safety.

Education

Korea Advanced Institute of Science and Technology (KAIST)

Ph.D. in Graduate School of Artificial Intelligence
Advised by Juho Lee
2025 - Present

Korea Advanced Institute of Science and Technology (KAIST)

M.S. in Graduate School of Artificial Intelligence
Advised by Juho Lee
2023 - 2025

Korea Advanced Institute of Science and Technology (KAIST)

B.S. in Mathematics | Summa Cum Laude
2019 - 2023

Publications

• Yegon Kim, Juho Lee,
  UAI 2026, A Model-Free Universal AI
• Yegon Kim, Seungyoo Lee, Chaeyun Jang, Hyungi Lee, Juho Lee,
  Preprint, Parallel Test-Time Scaling with Multi-Sequence Verifiers
• Chaeyun Jang, Moonseok Choi, Yegon Kim, Seungyoo Lee, Juho Lee, Hyungi Lee,
  ICML 2026, Confidence is Not Universal: Task-Dependent Calibration and Emergent Behavior in LLMs
• Yegon Kim, Juho Lee,
  ICLR 2026 Workshop Trustworthy AI, Mitigating Legibility Tax with Decoupled Prover-Verifier Games
• Yegon Kim, Hyunsu Kim, Gyeonghoon Ko, Juho Lee,
  ICML 2025, Active Learning with Selective Time-Step Acquisition for PDEs
• Hyunsu Kim, Yegon Kim, Hongseok Yang, Juho Lee,
  ICML 2024, Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts

Talks

• A Model-Free Universal AI. Invited talk for UAI regular meeting, 2026. [slides]
• Active Learning with Selective Time-Step Acquisition for PDEs. Master’s Thesis Defense, KAIST, 2025. [slides]
• Lab reading group 2026/03/10: AI Safety via Debate. [slides]
• Lab reading group 2025/10/01: AlphaEvolve. [slides]
• Lab reading group 2025/01/08: On the Measure of Intelligence. [slides]
• Lab reading group 2024/10/15: An Observation on Generalization. [slides]