Sungryull Sohn
21 papers · 2017–2026 · 11 venues · across top CS/AI venues
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Achievements
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(21)
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Venues
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Research topics
Artificial Intelligence
(15)
Core AI
(14)
Machine Learning
(10)
Reinforcement Learning
(10)
Learning Types Β· Machine Learning
(9)
Methods
(9)
Learning Paradigms Β· Artificial Intelligence
(6)
Deep Learning
(5)
Natural Language Processing
(5)
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(3)
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(3)
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(2)
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(2)
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(2)
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(2)
Keywords
subtask graph
(4)
reinforcement learning
(3)
large language model
(3)
sequential decision making
(2)
meta learning
(2)
hierarchical reinforcement learning
(2)
sparse reward
(2)
vision-language model
(2)
unsupervised learning
(2)
pre-trained language model
(2)
policy learning
(2)
few-shot learning
(2)
successor feature
(2)
policy optimization
(2)
response generation
(1)
in-context learning
(1)
benchmark evaluation
(1)
self-supervised learning
(1)
sample efficiency
(1)
video prediction
(1)
Papers
Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance
EACL 2026
Interactive and Expressive Code-Augmented Planning with Large Language Models
ACL 2025
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
CVPR 2025
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
NeurIPS 2024
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
EMNLP 2024
Code Models are Zero-shot Precondition Reasoners
NAACL 2024
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models
AAAI 2024
A Picture is Worth a Thousand Words: Language Models Plan from Pixels
EMNLP 2023
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning
EMNLP 2023
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
NeurIPS 2023
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues
EMNLP 2023
Unsupervised Task Graph Generation from Instructional Video Transcripts
ACL 2023
Fast inference and transfer of compositional task structures for few-shot task generalization
UAI 2022
Learning Parameterized Task Structure for Generalization to Unseen Entities
AAAI 2022
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment
IJCAI 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
ICML 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
NeurIPS 2021
BRPO: Batch Residual Policy Optimization
IJCAI 2020
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
ICLR 2020
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
NeurIPS 2018
Learning to Generate Long-term Future via Hierarchical Prediction
ICML 2017