About
I research and train large language models at KRAFTON AI, led by Kangwook Lee, and collaborate closely with Dimitris Papailiopoulos. Currently, I am working on both model architectures and reinforcement learning for the Raon model family (yes, we are a small team!).
I am particularly interested in efficiency, with the long-term goal of building AI systems that are useful in practice, even under tight resource constraints. To this end, I work on reducing the memory footprint of inference and reasoning, as well as the computational cost of training. More recently, I have been exploring efficient agentic systems for automated research.
Previously, I completed my master’s at Cambridge, where I worked in the Machine Learning Group under the supervision of Richard Turner.
News
- We released Raon-1 mini preview, a 30B-A4B MoE language model, to which I contributed through architecture design and reinforcement learning. 𝕏 Model Try Now
- Our paper, Pruning and Distilling Mixture-of-Experts into Dense Language Models, was accepted to NeurIPS 2026 as an Oral presentation. I’ll be presenting this work in Sydney!
Publications
(* Equal contribution, † Core contribution)
Pruning and Distilling Mixture-of-Experts into Dense Language Models
Junhyuck Kim, Jihun Yun, Haechan Kim, Gyeongman Kim, Joonghyun Bae, Jaewoong Cho
Is the Importance Ratio Necessary for Stable Reinforcement Learning in LLMs?
Shuibai Zhang*, Junhyuck Kim*, Gyeongman Kim, Jaewoong Cho
NeurIPS 2026
Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models
Junhyuck Kim, Ethan Ewer, Taehong Moon, Jongho Park, Dimitris Papailiopoulos
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Dongmin Park*†, Minkyu Kim*†, Beongjun Choi*†, Junhyuck Kim†, Keon Lee†, Jonghyun Lee†, Inkyu Park†, Byeong-Uk Lee†, Jaeyoung Hwang†, Jaewoo Ahn†, Ameya S. Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho
ICLR 2026 · EMNLP 2025 Wordplay Workshop Outstanding Paper Code 𝕏
Beyond RLHF: A Unified Theoretical Framework of Alignment
Jihun Yun*, Juno Kim*, Jongho Park, Junhyuck Kim, Jongha Jon Ryu, Jaewoong Cho, Kwang-Sung Jun
ICML 2025 MoFA Workshop
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos
Translation Equivariant Transformer Neural Processes
Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner
ICML 2024
Blog Posts
Experience
KRAFTON
AI Research ScientistJul. 2024 – Present
KRAFTON
AI Research InternJun. 2023 – Sep. 2023
Microsoft
Software Engineer InternJun. 2022 – Aug. 2022
Animo HealthTech
Data Scientist InternNov. 2021 – Apr. 2022
Education
University of Cambridge
MEng, Information and Computer EngineeringOct. 2023 – Jun. 2024
BA, Information and Computer EngineeringOct. 2020 – Jun. 2023
