Jaekyeom Kim

According to our database, Jaekyeom Kim authored at least 20 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation.

Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Creighton Glasscock, Honglak Lee

CoRR, February, 2026

Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation.

Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Yunxiang Zhang, Moontae Lee, Hao Peng, Lu Wang, Honglak Lee

CoRR, January, 2026

Process Reward Models That Think.

Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang

Trans. Mach. Learn. Res., 2026

Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance.

Yao Fu, Ran Qiu, Xinhe Wang, Jacob Sansom, Sathvika Ayyappa Prabhu, Huijie Tang, Jaekyeom Kim, Sungryull Sohn, Honglak Lee

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Towards Minimal Fine-Tuning of VLMs.

Tiange Luo, Lajanugen Logeswaran, Jaekyeom Kim, Justin Johnson, Honglak Lee

CoRR, December, 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, March, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Interactive and Expressive Code-Augmented Planning with Large Language Models.

Anthony Zhe Liu, Xinhe Wang, Jacob Sansom, Yao Fu, Jongwook Choi, Sungryull Sohn, Jaekyeom Kim, Honglak Lee

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022

Constrained GPI for Zero-Shot Transfer in Reinforcement Learning.

Jaekyeom Kim, Seohong Park, Gunhee Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lipschitz-constrained Unsupervised Skill Discovery.

Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods.

Seohong Park, Jaekyeom Kim, Gunhee Kim

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Skill Discovery with Bottleneck Option Learning.

Jaekyeom Kim, Seohong Park, Gunhee Kim

Proceedings of the 38th International Conference on Machine Learning, 2021

Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration.

Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning.

Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

EMI: Exploration with Mutual Information.

Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

EMI: Exploration with Mutual Information Maximizing State and Action Embeddings.

Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song

CoRR, 2018

2015

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

Proceedings of the Image Quality and System Performance XII, 2015