Youngsoo Jang
17 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
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Grand Slam
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Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(93)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(11)
Machine Learning
(9)
Reinforcement Learning
(8)
Methods
(7)
Deep Learning
(6)
Optimization & Theory
(6)
Natural Language Processing
(5)
Generation
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Keywords
reinforcement learning
(5)
dialogue system
(3)
language model
(3)
policy optimization
(2)
variational inference
(2)
offline reinforcement learning
(2)
monte carlo tree search
(2)
goal-oriented dialogue
(2)
policy learning
(2)
stationary distribution
(2)
preference optimization
(1)
text generation
(1)
dialogue generation
(1)
supervised learning
(1)
in-context learning
(1)
uncertainty quantification
(1)
divergence minimization
(1)
neural architecture
(1)
dialogue state tracking
(1)
natural language understanding
(1)
Papers
Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
ACL 2026
IRPO: Implicit Policy Regularized Preference Optimization
EACL 2026
Online Pre-Training for Offline-to-Online Reinforcement Learning
ICML 2025
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
ICML 2024
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
EMNLP 2024
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
ACL 2024
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
ICML 2023
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
NeurIPS 2023
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
ICLR 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
NeurIPS 2022
Monte-Carlo Planning and Learning with Language Action Value Estimates
ICLR 2021
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
AAAI 2020
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
ACL 2020
Variational Inference for Sequential Data with Future Likelihood Estimates
ICML 2020
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
EMNLP 2019
Trust Region Sequential Variational Inference
ACML 2019
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
IJCAI 2017