Publications
International
📑 Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions
Joo Bon Maeng*, Seongmin Lee*, Seokin Seo, Kee-Eung Kim
Annual Conference of the Nations of Americas Chapter of the Association for Computational Linguistics (NAACL) 2025
Keywords: Reinforcement learning NLP
📑 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Neural Information Processing Systems (NeurIPS) 2024
Keywords: Imitation learning Robust learning
📑 Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models
Seongmin Lee*, Jaewook Shin*, Youngjin Ahn, Seokin Seo, Ohjoon Kwon, Kee-Eung Kim
arxiv 2409.19382 (https://arxiv.org/abs/2409.19382)
Keywords: Reinforcement learning NLP
📑 Regularized Behavior Cloning for Blocking the Leakage of Past Action Information
Seokin Seo, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Neural Information Processing Systems (NeurIPS) 2023 (Spotlight)
Keywords: Imitation learning Causal learning
📑 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
International Conference of Machine Learning (ICML) 2023 (Oral presentation)
Keywords: Reinforcement learning Multi-view learning
📑 DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
International Conference on Learning Representations (ICLR) 2022
Keywords: Imitation learning
📑 Monte-Carlo Planning and Learning with Language Action Value Estimates
Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim
International Conference on Learning Representations (ICLR) 2021
Keywords: Reinforcement learning NLP
📑 A Bayesian Approach to Generative Adversarial Imitation Learning
Wonseok Jeon, Seokin Seo, Kee-Eung Kim
Neural Information Processing Systems (NeurIPS) 2018 (Spotlight)
Keywords: Imitation learning
Domestic
📑 특징조합 교란자 균형을 통한 인과정규화된 로지스틱 회귀 개선
(Improving Causally-Regularized Logistic Regression via Confounder Balancing with Feature Combinations)
📑 관계적 메모리 코어 구조를 적용한 변분적 순환신경망
(Variational Recurrent Neural Networks with Relational Memory Core Architectures)
