Hi
I am interested in pushing the boundaries of humanity. Currently, I am an intern at Amazon AGI Foundations, previously at LG Superintelligence Lab and Trillion Labs. I have also published papers in collaboration with researchers at Google DeepMind, Samsung Advanced Institute of Technology, and LG EXAONE Lab. My work spans scaling pre-training, post-training (co-evolution, RL, MOPD, OPSD, on-policy RFT, SFT), agentic world modeling, continual learning, and efficient long-context inference.
News
- gWorld cited and adopted by Qwen-AgentWorld, and surpasses 9K total downloads (including community quantized versions)!
- gWorld featured in over 10 news outlets as the first open-weight visual mobile GUI world model, outperforming models up to 50.25× in size!
- rBridge featured in over 10 news outlets for >100× efficiency in scaling pre-training recipe search!
- rBridge is on the front page of r/LocalLLaMA!
Selected Publications
- Preprint P2
Continually Post-training Small Models via Synthetic Self-distillation
Pre-print
- Preprint P1
- Conference paper C6
- Conference paper C5
- Conference paper C4
- Conference paper C3
- Conference paper C2
C²: Scalable Auto-Feedback for LLM-based Chart Generation
NAACL 2025 Main Long Oral
- Conference paper C1
More About Me
I was born in Seoul but grew up abroad, moving back to Seoul after high school. Koreans call me Woosung (우성). For most of my life English was my primary language, but now I am bilingual. Outside of research, I love traveling (especially for great views like skylines and the ocean), discovering good food spots, hitting the gym, listening to music (I somehow have 218 playlists), and spending time around animals. I also enjoy meeting new people, so feel free to reach out to talk about research or life!
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Experience
- – Applied Scientist Intern (L5), Amazon AGI Foundations (Bellevue)
- – Research Scientist Intern, LG AI Research, Superintelligence Lab
- – Research Intern, Trillion Labs
- – Visiting Researcher, OSI Lab, KAIST AI
- – Research Intern, HuGe Lab, KAIST AI
- – Research Intern, FE Lab, KAIST
Education
- – MS/PhD Student, KAIST AI Advised by Se-Young Yun
- – Bachelor's Degree, Yonsei University GPA: 4.07/4.3 2 Year Leave for Mandatory National Service
- Diploma Programme, International Baccalaureate Math, Physics, Economics, Business, English, Korean
Service
- 2027 ReviewerICLR
- 2026 ReviewerICLR, ICML, ACL ARR (January), NeurIPS, COLM
- 2025 ReviewerKDD (Research Track)
- Rolling ReviewerTMLR
- 2026 Lab ServiceServer Manager (9 nodes), Teaching Assistant (Stochastic Processes for AI; Graduate-level)
Undergraduate Mentoring
- 2026Gilles Massoulié (ENSAE Paris)
Awards
- Silver Reviewer Award, ICML 2026
- Scholar Award, NeurIPS 2025
- 27th Merit-based Tuition Scholarship, Welcome Finance Group
- 26th Merit-based Tuition Scholarship, Welcome Finance Group
- 3rd Prize (out of 261) - Big Data Competition, NH Investment & Securities
- Excellence Prize - Research Paper, Korean Institute of Information Technology (KIIT)
- 3rd Prize - Research Paper Orals, Korean Data & Information Science Society (KDISS)
- 4th Prize - 12th DB Finance & Economics, DB Group Shared quantitative strategy research paper in-person at Nanyang Technology University (NTU). Received scholarship and full sponsored trip to Singapore.
- 2nd Prize - 17th Economics Essay Competition, Woori Financial Group Published at Korea Times.
- 2nd Place - RUTC (Algorithmic Trading), University of Toronto Placed 1st in the Algorithmic Statistical Arbitrage case.
- Nominated and Accepted to 1 Year Exchange at University of Toronto, Yonsei University, University of Toronto It was later canceled due to COVID-19 :(
- Academic Honors, Yonsei University