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Youngsoo Jang
Youngsoo Jang
LG AI Research
Verified email at lgresearch.ai - Homepage
Title
Cited by
Cited by
Year
End-to-end neural pipeline for goal-oriented dialogue systems using GPT-2
D Ham, JG Lee, Y Jang, KE Kim
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2052020
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Y Jang, J Lee, KE Kim
International Conference on Learning Representations, 2022
392022
Bayes-adaptive monte-carlo planning and learning for goal-oriented dialogues
Y Jang, J Lee, KE Kim
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7994-8001, 2020
192020
Neural dialog state tracker for large ontologies by attention mechanism
Y Jang, J Ham, BJ Lee, Y Chang, KE Kim
2016 IEEE spoken language technology workshop (SLT), 531-537, 2016
172016
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
Y Jang, J Lee, J Park, KH Lee, P Lison, KE Kim
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
112019
Cross-language neural dialog state tracker for large ontologies using hierarchical attention
Y Jang, J Ham, BJ Lee, KE Kim
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018
112018
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming.
J Lee, Y Jang, P Poupart, KE Kim
IJCAI, 2088-2095, 2017
102017
Monte-carlo planning and learning with language action value estimates
Y Jang, S Seo, J Lee, KE Kim
International Conference on Learning Representations, 2021
82021
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation
GH Kim, J Lee, Y Jang, H Yang, KE Kim
Advances in Neural Information Processing Systems (NeurIPS), 2022
72022
Variational Inference for Sequential Data with Future Likelihood Estimates
GH Kim, Y Jang, H Yang, KE Kim
International Conference on Machine Learning, 5296-5305, 2020
42020
Trust Region Sequential Variational Inference
GH Kim, Y Jang, J Lee, W Jeon, H Yang, KE Kim
Asian Conference on Machine Learning, 1033-1048, 2019
22019
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
B Kim, Y Jang, L Logeswaran, GH Kim, YJ Kim, H Lee, M Lee
NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023
12023
Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
K Lee, D Hwang, S Park, Y Jang, M Lee
arXiv preprint arXiv:2403.14238, 2024
2024
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
Y Jang, GH Kim, J Lee, S Sohn, B Kim, H Lee, M Lee
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
HJ Hwang, S Seo, Y Jang, S Kim, GH Kim, S Hong, KE Kim
International Conference on Machine Learning, 2023
2023
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