Scholar
Jaewoong Cho
Google Scholar ID: qZQOpLEAAAAJ
KRAFTON AI
Machine Learning
Information Theory
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
503
H-index
10
i10-index
11
Publications
20
Co-authors
12
list available
Contact
No contact links provided.
Publications
11 items
Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models
2025
Cited
0
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
2025
Cited
0
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
2025
Cited
0
Alignment as Distribution Learning: Your Preference Model is Explicitly a Language Model
2025
Cited
0
Distilling LLM Agent into Small Models with Retrieval and Code Tools
2025
Cited
0
T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models
2025
Cited
0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
arXiv.org · 2024
Cited
0
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
arXiv.org · 2024
Cited
0
Load more
Resume (English only)
Co-authors
12 total
Kangwook Lee
University of Wisconsin-Madison, KRAFTON AI
Keon Lee
KRAFTON AI
Dimitris Papailiopoulos
Researcher at Microsoft Research & Assoc. Professor at University of Wisconsin
Co-author 4
Jongho Park
UC Berkeley, KRAFTON AI
Ernest K. Ryu
University of California, Los Angeles
Jaehyeon Kim
NVIDIA
Samet Oymak
University of Michigan | Google Research
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up