Lee, Junkyu

24 publications

ICLRW 2025 Assessing Confidence in Large Language Models by Classifying Task Correctness Using Similarity Features Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu

ISIPTA 2025 Dealing with Cycles in Graph-Based Probabilistic Models: The Case of Logical Credal Networks Fabio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander Gray, Denis D. Mauá

NeurIPS 2025 Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data Tian Gao, Songtao Lu, Junkyu Lee, Elliot Nelson, Debarun Bhattacharjya, Yue Yu, Miao Liu

AISTATS 2025 Q-Function Decomposition with Intervention Semantics for Factored Action Spaces Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu

ICLRW 2025 Rationalization Models for Text-to-SQL Gaetano Rossiello, Nhan H Pham, Michael Glass, Junkyu Lee, Dharmashankar Subramanian

UAI 2025 The Consistency Hypothesis in Uncertainty Quantification for Large Language Models Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katya Mirylenka, Nhan H Pham, Michael Glass, Junkyu Lee

NeurIPS 2024 Abductive Reasoning in Logical Credal Networks Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fabio Cozman, Alexander Gray

AAAI 2024 Large Language Models as Planning Domain Generators (Student Abstract) James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi

AAAI 2024 Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract) Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi

IJCAI 2023 Action Space Reduction for Planning Domains Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi

NeurIPS 2023 Credal Marginal MAP Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray

NeurIPSW 2023 Hierarchical Reinforcement Learning with AI Planning Models Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Geraud Nangue Tasse, Tim Klinger, Shirin Sohrabi

IJCAI 2023 K∗ Search over Orbit Space for Top-K Planning Michael Katz, Junkyu Lee

WACV 2023 ROMA: Run-Time Object Detection to Maximize Real-Time Accuracy JunKyu Lee, Blesson Varghese, Hans Vandierendonck

AAAI 2022 How to Reduce Action Space for Planning Domains? (Student Abstract) Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas

AAAI 2021 A New Bounding Scheme for Influence Diagrams Radu Marinescu, Junkyu Lee, Rina Dechter

AAAI 2021 Submodel Decomposition Bounds for Influence Diagrams Junkyu Lee, Radu Marinescu, Rina Dechter

AAAI 2020 Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract) Junkyu Lee

UAI 2019 A Weighted Mini-Bucket Bound for Solving Influence Diagram Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter

JAIR 2018 AND/OR Search for Marginal MAP Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler

UAI 2018 Join Graph Decomposition Bounds for Influence Diagrams Junkyu Lee, Alexander Ihler, Rina Dechter

AAAI 2018 Probabilistic Planning with Influence Diagrams Junkyu Lee

AAAI 2017 Anytime Best+Depth-First Search for Bounding Marginal MAP Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter

AAAI 2016 From Exact to Anytime Solutions for Marginal MAP Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler