Junkyu Lee

Title

Research Scientist

Bio

I am interested in designing algorithms for solving large-scale sequential decision-making problems. My research focuses on inference and learning algorithms in graphical models, AI planning, and reinforcement learning.

Publications

Meta-D²AG: Causal Graph Learning with Interventional Dynamic Data
- - Tian Gao
  - Songtao Lu
  - et al.
- 2025
- NeurIPS 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
- - Radu Marinescu
  - Debarun Bhattacharjya
  - et al.
- 2025
- EMNLP 2025
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
- - Debarun Bhattacharjya
  - Balaji Ganesan
  - et al.
- 2025
- EMNLP 2025
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
- - Quan Xiao
  - Debarun Bhattacharjya
  - et al.
- 2025
- UAI 2025
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
- - Junkyu Lee
  - Tian Gao
  - et al.
- 2025
- AISTATS 2025
Rationalization Models for Text-to-SQL
- - Gaetano Rossiello
  - Nhan Pham
  - et al.
- 2025
- ICLR 2025
Assessing Confidence in Large Language Models by Classifying Task Correctness using Similarity Features
- - Debarun Bhattacharjya
  - Balaji Ganesan
  - et al.
- 2025
- ICLR 2025
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
- - Junkyu Lee
  - Tian Gao
  - et al.
- 2025
- AAAI 2025
Abductive Reasoning in Logical Credal Networks
- - Radu Marinescu
  - Junkyu Lee
  - et al.
- 2024
- NeurIPS 2024
Consistency-based Black-box Uncertainty Quantification for Text-to-SQL
- - Debarun Bhattacharjya
  - Balaji Ganesan
  - et al.
- 2024
- NeurIPS 2024

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Projects

AI Planning

Top collaborators

Radu Marinescu

Research Staff Member

Balaji Ganesan

Senior Research Engineer

Alessandra Pascale

Senior Research Scientist and manager, Accelerated Discovery, NLP and Inference on Graphs

Gaetano Rossiello

Staff Research Scientist