Junkyu Lee

8 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

AAAI ×2 EMNLP ×2 NeurIPS ×2 AISTATS ×1 UAI ×1

Frequent coauthors

Debarun Bhattacharjya

×6

Radu Marinescu

×4

Tian Gao

×2

Songtao Lu

×2

Elliot Nelson

×2

Miao Liu

×2

Balaji Ganesan

×2

Katsiaryna Mirylenka

×2

Michael R. Glass

×2

Harsha Kokel

×2

Michael Katz

×2

Shirin Sohrabi

×2

Papers

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
EMNLP 2025 ·
Radu Marinescu
,
Debarun Bhattacharjya
, Junkyu Lee,
Tigran T. Tchrakian
,
Javier Carnerero-Cano
,
Yufang Hou
,
Elizabeth M. Daly
,
Alessandra Pascale
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
NeurIPS 2025 ·
Tian Gao
,
Songtao Lu
, Junkyu Lee,
Elliot Nelson
,
Debarun Bhattacharjya
,
Yue Yu
,
Miao Liu
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
AISTATS 2025 · Junkyu Lee,
Tian Gao
,
Elliot Nelson
,
Miao Liu
,
Debarun Bhattacharjya
,
Songtao Lu
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
EMNLP 2025 ·
Debarun Bhattacharjya
,
Balaji Ganesan
, Junkyu Lee,
Radu Marinescu
,
Katsiaryna Mirylenka
,
Michael R. Glass
,
Xiao Shou
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
UAI 2025 ·
Quan Xiao
,
Debarun Bhattacharjya
,
Balaji Ganesan
,
Radu Marinescu
,
Katsiaryna Mirylenka
,
Nhan H. Pham
,
Michael R. Glass
, Junkyu Lee
Abductive Reasoning in Logical Credal Networks
NeurIPS 2024 ·
Radu Marinescu
, Junkyu Lee,
Debarun Bhattacharjya
,
Fábio G. Cozman
,
Alexander G. Gray
Large Language Models as Planning Domain Generators (Student Abstract)
AAAI 2024 ·
James T. Oswald
,
Kavitha Srinivas
,
Harsha Kokel
, Junkyu Lee,
Michael Katz
,
Shirin Sohrabi
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)
AAAI 2024 ·
Brandon Rozek
, Junkyu Lee,
Harsha Kokel
,
Michael Katz
,
Shirin Sohrabi