Image quality evaluation of LCDs based on novel RGBW sub-pixel structure. - Sungjin Kim; Dongwoo Kang; Jinsang Lee; Jaekyeom Kim; Yongmin Park; Taeseong Han; Sooyeon Jung; Jang Jin Yoo; Moojong Lim; JongSang Baek (IQSP, 2015)

EMI: Exploration with Mutual Information Maximizing State and Action Embeddings. - Hyoungseok Kim; Jaekyeom Kim; Yeonwoo Jeong; Sergey Levine; Hyun Oh Song (CoRR, 2018)

EMI: Exploration with Mutual Information. - Hyoungseok Kim; Jaekyeom Kim; Yeonwoo Jeong; Sergey Levine; Hyun Oh Song (ICML, 2019)

Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning. - Jaekyeom Kim; Hyoungseok Kim; Gunhee Kim (ECCV (1), 2020)

Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration. - Jaekyeom Kim; Minjung Kim 001; Dongyeon Woo; Gunhee Kim (ICLR, 2021)

Unsupervised Skill Discovery with Bottleneck Option Learning. - Jaekyeom Kim; Seohong Park; Gunhee Kim (ICML, 2021)

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods. - Seohong Park; Jaekyeom Kim; Gunhee Kim (NeurIPS, 2021)

Lipschitz-constrained Unsupervised Skill Discovery. - Seohong Park; Jongwook Choi; Jaekyeom Kim; Honglak Lee; Gunhee Kim (ICLR, 2022)

Constrained GPI for Zero-Shot Transfer in Reinforcement Learning. - Jaekyeom Kim; Seohong Park; Gunhee Kim (NeurIPS, 2022)

Small Language Models Need Strong Verifiers to Self-Correct Reasoning. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (Findings), 2024)

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 (Findings), 2024)

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)

AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents. - Yao Fu; Dong-Ki Kim; Jaekyeom Kim; Sungryull Sohn; Lajanugen Logeswaran; Kyunghoon Bae; Honglak Lee (CoRR, 2024)

Interactive and Expressive Code-Augmented Planning with Large Language Models. - Anthony Zhe Liu; Xinhe Wang 001; Jacob Sansom; Yao Fu; Jongwook Choi; Sungryull Sohn; Jaekyeom Kim; Honglak Lee (ACL (1), 2025)

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 (CoRR, 2025)

MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? - Yunxiang Zhang; Muhammad Khalifa; Shitanshu Bhushan; Grant D. Murphy; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

Process Reward Models That Think. - Muhammad Khalifa; Rishabh Agarwal; Lajanugen Logeswaran; Jaekyeom Kim; Hao Peng 009; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)