Youngsoo Jang

24 papers A* 11C 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
IRPO: Implicit Policy Regularized Preference Optimization.
EACL (Findings)
Youngsoo Jang, Yu Jin Kim, Geon-Hyeong Kim, Honglak Lee, Moontae Lee
2025 A* conf
Online Pre-Training for Offline-to-Online Reinforcement Learning.
ICML
Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim
2025 J jnl
Online Pre-Training for Offline-to-Online Reinforcement Learning.
CoRR
Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geonhyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim
2025 J jnl
SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety.
CoRR
Geon-Hyeong Kim, Youngsoo Jang, Yu Jin Kim, Byoungjip Kim, Honglak Lee, Kyunghoon Bae, Moontae Lee
2024 A* conf
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration.
ICML
Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee
2024 — conf
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking.
EMNLP (Findings)
Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee
2024 J jnl
Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection.
CoRR
Kyungjae Lee, Dasol Hwang, Sunghyun Park, Youngsoo Jang, Moontae Lee
2024 — conf
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments.
ACL (Findings)
Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo
2024 J jnl
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments.
CoRR
Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo
2024 — conf
Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning.
CVPR Workshops
Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee
2023 A* conf
Information-Theoretic State Space Model for Multi-View Reinforcement Learning.
ICML
HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
2023 A* conf
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.
NeurIPS
Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee
2022 A* conf
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems.
ICLR
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
2022 J jnl
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation.
CoRR
Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
2022 A* conf
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation.
NeurIPS
Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
2021 A* conf
Monte-Carlo Planning and Learning with Language Action Value Estimates.
ICLR
Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim
2020 A* conf
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues.
AAAI
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
2020 A* conf
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2.
ACL
Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, Kee-Eung Kim
2020 A* conf
Variational Inference for Sequential Data with Future Likelihood Estimates.
ICML
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
2019 — conf
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules.
EMNLP/IJCNLP (3)
Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim
2019 C conf
Trust Region Sequential Variational Inference.
ACML
Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim
2018 J jnl
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention.
IEEE ACM Trans. Audio Speech Lang. Process.
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim
2017 A* conf
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming.
IJCAI
Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim
2016 — conf
Neural dialog state tracker for large ontologies by attention mechanism.
SLT
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim