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Youngsoo Jang
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2020 – today
- 2024
- [c16]Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo:
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. ACL (Findings) 2024: 3354-3376 - [c15]Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee:
Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. CVPR Workshops 2024: 1808-1817 - [c14]Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee:
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. EMNLP (Findings) 2024: 14958-14976 - [c13]Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee:
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration. ICML 2024 - [i3]Kyungjae Lee, Dasol Hwang, Sunghyun Park, Youngsoo Jang, Moontae Lee:
Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection. CoRR abs/2403.14238 (2024) - [i2]Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo:
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. CoRR abs/2408.01024 (2024) - 2023
- [c12]HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim:
Information-Theoretic State Space Model for Multi-View Reinforcement Learning. ICML 2023: 14249-14282 - [c11]Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee:
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. NeurIPS 2023 - 2022
- [c10]Youngsoo Jang, Jongmin Lee, Kee-Eung Kim:
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems. ICLR 2022 - [c9]Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim:
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation. NeurIPS 2022 - [i1]Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim:
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation. CoRR abs/2202.13536 (2022) - 2021
- [c8]Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim:
Monte-Carlo Planning and Learning with Language Action Value Estimates. ICLR 2021 - 2020
- [c7]Youngsoo Jang, Jongmin Lee, Kee-Eung Kim:
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues. AAAI 2020: 7994-8001 - [c6]DongHoon Ham, Jeong-Gwan Lee, Youngsoo Jang, Kee-Eung Kim:
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2. ACL 2020: 583-592 - [c5]Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim:
Variational Inference for Sequential Data with Future Likelihood Estimates. ICML 2020: 5296-5305
2010 – 2019
- 2019
- [c4]Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim:
Trust Region Sequential Variational Inference. ACML 2019: 1033-1048 - [c3]Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim:
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. EMNLP/IJCNLP (3) 2019: 187-192 - 2018
- [j1]Youngsoo Jang
, Jiyeon Ham, Byung-Jun Lee
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2072-2082 (2018) - 2017
- [c2]Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim:
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming. IJCAI 2017: 2088-2095 - 2016
- [c1]Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee
Neural dialog state tracker for large ontologies by attention mechanism. SLT 2016: 531-537
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