Jeonghye Kim

According to our database, Jeonghye Kim authored at least 17 papers between 2015 and 2026.

Collaborative distances:

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

2026

Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dohyung Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang

CoRR, March, 2026

Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty.

Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dongsheng Li, Yuqing Yang

CoRR, March, 2026

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization.

Zeyuan Liu, Jeonghye Kim, Xufang Luo, Dongsheng Li, Yuqing Yang

CoRR, February, 2026

Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR.

Dohyung Kim, Minbeom Kim, Jeonghye Kim, Sangmook Lee, Sojeong Rhee, Kyomin Jung

CoRR, February, 2026

RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation.

Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Jeonghye Kim, Yongjae Shin, Suhyun Jung, Hyundam Yoo, Youngjin Kim, Chanwoo Moon, Woohyung Lim, Soonyoung Lee, Kanghoon Lee

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents.

Seohui Bae, Jeonghye Kim, Youngchul Sung, Woohyung Lim

CoRR, December, 2025

RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval.

Minhae Oh, Jeonghye Kim, Nakyung Lee, Donggeon Seo, Taeuk Kim, Jungwoo Lee

CoRR, June, 2025

Online Pre-Training for Offline-to-Online Reinforcement Learning.

Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data.

Jeonghye Kim, Yongjae Shin, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngchul Sung, Kanghoon Lee, Woohyung Lim

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning.

Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection.

Jeonghye Kim, Sojeong Rhee, Minbeom Kim, Dohyung Kim, Sangmook Lee, Youngchul Sung, Kyomin Jung

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Value-Aided Conditional Supervised Learning for Offline RL.

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

CoRR, 2024

Robust Reinforcement Learning Under Dimension-Wise State Information Drop.

Gyeongmin Kim, Jeonghye Kim, Suyoung Lee, Jaewoo Baek, Howon Moon, Sangheon Shin, Youngchul Sung

IEEE Access, 2024

Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning.

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

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

Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making.

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework.

Woojun Kim, Jeonghye Kim, Youngchul Sung

Proceedings of the International Conference on Machine Learning, 2023

2015

Why People Participate in the Sharing Economy: A Social Exchange Perspective.

Jeonghye Kim, Youngseog Yoon, Hangjung Zo

Proceedings of the 19th Pacific Asia Conference on Information Systems, 2015