*:Co-first authors; †:Co-corresponding authors
2026
[P2] SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning
Taewook Nam, Junmo Cho, Youngsoo Jang, Sung Ju Hwang
Preprint
[W9] LLM-PriorCB: Textual Contextual Bandits with LLM-Induced Priors
Geon-Hyeong Kim, Yu Jin Kim, June Yong Yang, Woohyung Lim, Youngsoo Jang†, Moontae Lee†
ICML Workshop on Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning, 2026
[W8] CAMEL: Learning Community-Aligned Metrics and Weights for LLM Evaluation
Ji Yong Cho, Bumsoo Kang, June Yong Yang, Youngsoo Jang, Chang Liu, Moontae Lee
ACL Workshop on Natural Language Generation, Evaluation, and Metrics, 2026
[C19] A Regret Minimization Framework on Preference Learning in Large Language Models
Suhwan Kim*, Taehyun Cho*, Geon-Hyeong Kim, Yu Jin Kim, Youngsoo Jang†, Moontae Lee†, Jungwoo Lee†
ICML 2026 (Spotlight Paper, Top 2.2%)
[C18] Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
Taehyeon Kim, Hyunsoo Lee, Youngsoo Jang†, Moontae Lee†
ACL 2026 (Oral Presentation, Top 4.0%)
[C17] SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety
Geon-Hyeong Kim, Yu Jin Kim, Byoungjip Kim, Honglak Lee, Kyunghoon Bae, Youngsoo Jang†, Moontae Lee†
ICLR 2026 (Oral Presentation, Top 1.1%)
[C16] IRPO: Implicit Policy Regularized Preference Optimization
Youngsoo Jang, Yu Jin Kim, Geon-Hyeong Kim, Honglak Lee, Moontae Lee
EACL Findings 2026 (Oral Presentation, Top 8.5%)
2025
[C15] 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
ICML 2025
2024
[P1] Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
Kyungjae Lee*, Dasol Hwang*, Sunghyun Park*, Youngsoo Jang, Moontae Lee
Preprint
[C14, W7] 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
EMNLP Findings 2024
NeurIPS Foundation Models for Decision Making Workshop, 2023
[C13] Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
Sangwoo Shin*, SeungHyun Kim*, Youngsoo Jang, Moontae Lee, Honguk Woo
ACL Findings 2024
[C12, W6] 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
ICML 2024
ICLR Workshop on Generative Models for Decision Making, 2024
[W5] Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning
Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee
CVPR Workshop on Multi-Modal Foundation Models, 2024
2023
[C11] SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee
NeurIPS 2023
[C10] 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
ICML 2023 (Oral Presentation, Top 2.3%)
2022
[C9] LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation
Geon-Hyeong Kim*, Jongmin Lee*, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
NeurIPS 2022
[C8] GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
ICLR 2022
2021
[C7] Monte-Carlo Planning and Learning with Language Action Value Estimates
Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim
ICLR 2021
2020
[C6] Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
ICML 2020
[C5, W4] End-to-End Neural Pipeline for Goal-Oriented Dialogue System using GPT-2
Donghoon Ham*, Jeong-Gwan Lee*, Youngsoo Jang, Kee-Eung Kim
ACL 2020
AAAI DSTC8 Workshop, 2020 (Oral Presentation)
1st place on 8th Dialog System Technology Challenge (DSTC8) Multi-domain Task Completion Track, 2019
[C4, W3] Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
AAAI 2020
NeurIPS Conversational AI Workshop, 2019 (Oral Presentation)
2019
[C3] Trust Region Sequential Variational Inference
Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim
ACML 2019
[C2] PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Systems with Probabilistic Rules
Youngsoo Jang*, Jongmin Lee*, Jaeyoung Park*, Kyeng-Hun Lee, Pierre Lison, KeeEung Kim
EMNLP 2019
2018
[J1] Cross-language Neural Dialog State Tracker for Large Ontologies using Hierarchical Attention
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2018
2017
[C1, W2] Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim
IJCAI 2017
ECML-PKDD Workshop on Scaling-Up Reinforcement Learning (SURL), 2017
2016
[W1] Neural Dialog State Tracker for Large Ontologies by Attention Mechanism
Youngsoo Jang*, Jiyeon Ham*, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim
IEEE Workshop on Spoken Language Technology (SLT), 2016
3rd place on 5th Dialog State Tracking Challenge (DSTC), 2016