Junhyuck Kim

Junhyuck Kim

AI Research Scientist

KRAFTON

jhyuckkim [AT] gmail.com

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

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

NeurIPS 2026 Oral Code 𝕏

Is the Importance Ratio Necessary for Stable Reinforcement Learning in LLMs?

Shuibai Zhang*, Junhyuck Kim*, Gyeongman Kim, Jaewoong Cho

NeurIPS 2026

Raon-Speech Technical Report

KRAFTON

Technical Report, 2026 Code 𝕏 Model Demo

Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models

Junhyuck Kim, Ethan Ewer, Taehong Moon, Jongho Park, Dimitris Papailiopoulos

ICLR 2026 · NeurIPS 2025 ER Workshop Spotlight Code 𝕏

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

ICML 2025 · ICLR 2025 SLLM Workshop Spotlight Code 𝕏

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

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