Geon-Hyeong Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | IRPO: Implicit Policy Regularized Preference Optimization. | Youngsoo Jang, Yu Jin Kim, Geon-Hyeong Kim, Honglak Lee, Moontae Lee |
| 2025 | ICML | 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 |
| 2024 | EMNLP | Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. | Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee |
| 2024 | ICML | Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration. | Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee |
| 2023 | ICML | Information-Theoretic State Space Model for Multi-View Reinforcement Learning. | HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim |
| 2022 | ICLR | DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations. | Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim |
| 2020 | AAAI | Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. | Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim |
| 2020 | ICML | Variational Inference for Sequential Data with Future Likelihood Estimates. | Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim |