Dongjun Lee

Ph.D student

KAIST AI

dgjun32 [AT] kaist.ac.kr / mando0302 [AT] gmail.com

About

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.

Publications

[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

Education

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

Experience

Microsoft ResearchMar. 2025 - Jun. 2025
Vancouver, Canada

Research intern

Microsoft ResearchSep. 2024 - Feb. 2025
Beijing, China

Research intern

NAVER CorpJun. 2023 - Aug. 2023
Jeongja, Korea

Research intern

Academic Services

Conference Reviewer, ICLR 2025, ICLR 2026, CVPR 2026

Journal Reviewer, Pattern Recognition

Honors & Awards

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