I am a second year Ph.D. student at KAIST, advised by Prof. Kimin Lee and Jinwoo Shin, and I worked as research intern at Microsoft Research at Beijing and Vancouver. I am currently interested in robot learning, focusing on enabling robots to act according to human intentions (e.g., comprehension of complex language instructions) and to understand intentions expressed through various modalities (e.g., egocentric videos). Previously, I worked on LLM agents for computer use and unit test generation to ensure the reliability of code generation.
[C3] Learning to Generate Unit Test via Adversarial Reinforcement Learning
Dongjun Lee, Changho Hwang, Kimin Lee
International Conference on Learning Representations (ICLR), 2026
[C2] Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
Dongjun Lee*, Juyong Lee*, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
International Conference on Learning Representations (ICLR), 2025
[C1] Read-only prompt optimization for Vision-Language Few-shot Learning
Dongjun Lee*, Seokwon Song*, Jihee Suh, Junmyeong Choi, Sanghyeok Lee, Hyunwoo J.Kim
International Conference on Computer Vision (ICCV), 2023
[P3] Collaborative LLM Inference via Planning for Efficient Reasoning
Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Kyungjoon Park, Dongjun Lee, Jinwoo Shin
Arxiv Preprint
[P2] Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
Yongjin Yang, Sinjae Kang, Juyong Lee, Dongjun Lee, Seyoung Yun, Kimin Lee
Arxiv Preprint
[P1] Adversarial Iterative Unit Test Generation with Large Language Models
Dongjun Lee, Juyong Lee, Changho Hwang, Kimin Lee
Under Review
[C3] Learning to Generate Unit Test via Adversarial Reinforcement Learning
Dongjun Lee, Changho Hwang, Kimin Lee
International Conference on Learning Representations (ICLR), 2026
[C2] Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
Dongjun Lee*, Juyong Lee*, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
International Conference on Learning Representations (ICLR), 2025
[C1] Read-only prompt optimization for Vision-Language Few-shot Learning
Dongjun Lee*, Seokwon Song*, Jihee Suh, Junmyeong Choi, Sanghyeok Lee, Hyunwoo J.Kim
International Conference on Computer Vision (ICCV), 2023
[P3] Collaborative LLM Inference via Planning for Efficient Reasoning
Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Kyungjoon Park, Dongjun Lee, Jinwoo Shin
Arxiv Preprint
[P2] Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
Yongjin Yang, Sinjae Kang, Juyong Lee, Dongjun Lee, Seyoung Yun, Kimin Lee
Arxiv Preprint
[P1] Adversarial Iterative Unit Test Generation with Large Language Models
Dongjun Lee, Juyong Lee, Changho Hwang, Kimin Lee
Under Review
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2024 - Present
Ph.D. Student in Artificial Intelligence
Korea UniversityMar. 2018 - Feb. 2024
B.S. in Statistics
Microsoft ResearchMar. 2025 - Jun. 2025
Vancouver, Canada
Microsoft ResearchSep. 2024 - Feb. 2025
Beijing, China
NAVER CorpJun. 2023 - Aug. 2023
Jeongja, Korea
Conference Reviewer, ICLR 2025, ICLR 2026, CVPR 2026
Journal Reviewer, Pattern Recognition
Donggyo Talent Award, Surim FoundationDec. 2023
Ilju Academy and Culture Foundation Scholarship, Ilju FoundationDec. 2018 ~ Feb. 2024
Semester high honor, Korea University2018S, 2018F, 2019S, 2019F, 2022S, 2022F, 2023S