Junkyu Lee

Publications

• Black-Box Uncertainty Quantification for Large Language Models via Ensemble-of-Ensembles

  • • Wang Ma
    • Debarun Bhattacharjya
    • et al.
  • 2026
  • AAAI 2026

• 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

• Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks

  • • Fabio G. Cozman
    • Radu Marinescu
    • et al.
  • 2025
  • ISIPTA 2025

• Q-function Decomposition with Intervention Semantics for Factored Action Spaces

  • • Junkyu Lee
    • Tian Gao
    • et al.
  • 2025
  • AISTATS 2025

• Assessing Confidence in Large Language Models by Classifying Task Correctness using Similarity Features

  • • Debarun Bhattacharjya
    • Balaji Ganesan
    • et al.
  • 2025
  • ICLR 2025

• Rationalization Models for Text-to-SQL

  • • Gaetano Rossiello
    • Nhan Pham
    • et al.
  • 2025
  • ICLR 2025

• Q-function Decomposition with Intervention Semantics for Factored Action Spaces

  • • Junkyu Lee
    • Tian Gao
    • et al.
  • 2025
  • AAAI 2025