Hello! I am a Researcher in Advanced Agent Lab at LG AI Research (Ann Arbor, Michigan), working with Prof. Honglak Lee. I received my PhD in Computer Science at Seoul National University (advisors: Prof. Gunhee Kim and Prof. Hyun Oh Song).
My research interests mainly lie in building capable AI agents for decision-making in challenging, real-world tasks, with language and multimodal models and reinforcement learning.
Selected Professional Experiences
- LG AI Research (Ann Arbor, Michigan) (Aug. 2023 - Present)
- Researcher in Advanced Agent Lab
- Manager: Prof. Honglak Lee
Publications (*: equal contribution)
Language and Multimodal Models and Agents
Our large-scale analysis with our AI agent suggests that ~80% of the popular datasets with commercially permissive licenses are, in fact, not likely commercially viable due to how those datasets were constructed. | Do Not Trust Licenses You See: Dataset Compliance Requires Massive-Scale AI-Powered Lifecycle Tracing Jaekyeom Kim*, Sungryull Sohn*, Gerrard Jeongwon Jo, Jihoon Choi, Kyunghoon Bae, Hwayoung Lee, Yongmin Park, Honglak Lee Preprint [arxiv] [post] [project] |
![]() | AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents Yao Fu*, Dong-Ki Kim*, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee NeurIPS 2024 [arxiv] |
![]() | Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee EMNLP 2024 (Findings) [arxiv] [poster] |
![]() | SkillAct: Using Skill Abstractions Improves LLM Agents Anthony Zhe Liu, Jongwook Choi*, Sungryull Sohn, Yao Fu, Jaekyeom Kim, Dong-Ki Kim, Xinhe Wang, Jaewon Yoo, Honglak Lee ICML 2024 Workshop on LLMs and Cognition [paper] |
![]() | Small Language Models Need Strong Verifiers to Self-Correct Reasoning Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang ACL 2024 (Findings) [arxiv] |
Reinforcement Learning and Skill Discovery
![]() | Constrained GPI for Zero-Shot Transfer in Reinforcement Learning Jaekyeom Kim, Seohong Park, Gunhee Kim NeurIPS 2022 [paper] [arxiv] [talk] [code] |
![]() | Lipschitz-constrained Unsupervised Skill Discovery Seohong Park, Jongwook Choi*, Jaekyeom Kim*, Honglak Lee Gunhee Kim ICLR 2022 [paper] [arxiv] [project] [code] |
![]() | Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park, Jaekyeom Kim, Gunhee Kim NeurIPS 2021 [paper] [appx] [arxiv] [talk] [code] |
![]() | Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim*, Seohong Park*, Gunhee Kim ICML 2021 [paper] [appx] [arxiv] [talk] [code] |
![]() | EMI: Exploration with Mutual Information Hyoungseok Kim*, Jaekyeom Kim*, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song ICML 2019 (Long talk: top ~4.6%) [paper] [supp] [arxiv] [talk] [code] |
Generalization and Robustness
![]() | Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim ICLR 2021 [paper] [arxiv] [talk] [code] |
![]() | Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim ECCV 2020 (Oral: top ~2%) [paper] [appx] [talk] [code] |
Honors & Awards
- PhD Dissertation Award (Aug. 2023, Dept. of Computer Science and Engineering, Seoul National University)
- Star Student Researcher Award (Feb. 2023, BK21 Intelligence Computing, Seoul National University)
- Youlchon AI Star Fellowship (Jul. 2022, Youlchon Foundation)
- Naver PhD Fellowship (Dec. 2021, Naver)
- Google PhD Fellowship - Area: Machine Learning (Sep. 2021, Google)
- Samsung Humantech Paper Award - Silver Prize in Signal Processing (Feb. 2021, Samsung Electronics)
- Qualcomm Innovation Fellowship Korea (Dec. 2020, Qualcomm AI Research)
- On-Dream Outstanding Scholar Award (Dec. 2020, Hyundai Motor Chung Mong-Koo Foundation)
- On-Dream Future Talent Graduate Scholarship (Jul. 2020, Hyundai Motor Chung Mong-Koo Foundation)
- Kwanjeong Domestic Scholarship (Apr. 2018, Kwanjeong Educational Foundation)
- Summa Cum Laude Honor (Feb. 2018, Korea Advanced Institute of Science and Technology)
Education
- Seoul National University (SNU) (Mar. 2018 - Aug. 2023)
- M.S./Ph.D. in Computer Science and Engineering
- Advisors: Prof. Gunhee Kim and Prof. Hyun Oh Song
- Korea Advanced Institute of Science and Technology (KAIST) (Feb. 2010 - Jun. 2017)
- B.S. in Computer Science
- Graduated summa cum laude