Publications

KRAFTON AI 는 자체 연구 뿐만 아니라 학계와 협업하여 연구 영역을 확장하고 있습니다.

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WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving

Seungjun Yu, Seonho Lee, Namho Kim, Jaeyo Shin, Junsung Park, Wonjeong Ryu, Raehyuk Jung, Hyunjung Shim

Data-Centric AI EMNLP Findings
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KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs

KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs

Haechan Kim, Seungjun Chung, Inkyu Park, Jihoo Lee, Jonghyun Lee

Data-Centric AI EMNLP Findings
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ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning

ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning

Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara, Scott Sanner, Pascal Poupart, Jongmin Lee, Kee-Eung Kim

Reinforcement Learning RLC 2026
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Vitality-Aware Compression for Efficient Image-to-Shape Diffusion Transformers

Vitality-Aware Compression for Efficient Image-to-Shape Diffusion Transformers

Jaeah Lee*, Hyunjin Kim*, Jaewoong Cho, Gihyun Kwon

Computer Vision ECCV 2026
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Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views

Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views

Jiho Choi*, Seonho Lee*, Seojeong Park, Hyunjung Shim

Reinforcement Learning ECCV 2026
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3D HAMSTER: Enabling Robust Manipulation in Hierarchical Vision Language Action Models through 3D Trajectory Guidance

3D HAMSTER: Enabling Robust Manipulation in Hierarchical Vision Language Action Models through 3D Trajectory Guidance

Dongyoon Hwang*, Byung Kun Lee*, Dongjin Kim*, Hyojin Jang, Hoiyeong Jin, Jueun Mun, Minho Park, Hojoon Lee, Hyunseung Kim, Jaegul Choo

Language Model IROS 2026
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RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming

RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming

Minsu Kim, Junwoo Park, Chanho Lee, Gibum Seo, Steven Euijong Whang, Hyuck Lee

Data-centric AI KDD 2026
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AsyncOPD: How Stale Can On-Policy Distillation Be?

AsyncOPD: How Stale Can On-Policy Distillation Be?

Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjun Kang, Sanghyun Park, Donghoon Kim, Minjae Lee, Minseo Kim, Rishabh Tiwari, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

Language Model ICML 2026 Workshop
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AgentVidBench: A Multi-Hop Video Question Answering Benchmark for Evaluating MLLM Agents

AgentVidBench: A Multi-Hop Video Question Answering Benchmark for Evaluating MLLM Agents

Seoyeon An*, Hyeonseo Jang*, Minsu Kim*, Chanho Lee, Younghan Park, Kangwook Lee

Language Model ICML 2026 Workshop
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Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement

Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement

Sanghyun Lee, Sunwoo Kim, Seungryong Kim, Jongho Park, Dongmin Park

Theoretical ICML 2026 Workshop
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