Consistency-based Black-box Uncertainty Quantification for Text-to-SQL
- Debarun Bhattacharjya
- Balaji Ganesan
- et al.
- 2024
- NeurIPS 2024
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
A Framework for Agents Guiding Foundation Models through Knowledge and Reasoning
- Debarun Bhattacharjya
- Junkyu Lee
- et al.
- 2024
- IJCAI 2024
Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning
- Michael Katz
- Junkyu Lee
- et al.
- 2024
- SoCS 2024
A Human-in-the-loop API Sequencing Tool Powered by AI Planning
- Jung koo Kang
- Tathagata Chakraborti
- et al.
- 2024
- ICAPS 2024
Large Language Models as Planning Domain Generators
- James Oswald
- Kavitha Srinivas
- et al.
- 2024
- ICAPS 2024
Unifying and Certifying Top-Quality Planning
- Michael Katz
- Junkyu Lee
- et al.
- 2024
- ICAPS 2024
Large Language Models as Planning Domain Generators
- James Oswald
- Kavitha Srinivas
- et al.
- 2024
- AAAI 2024
Partially Observable Hierarchical Reinforcement Learning with AI Planning
- Brandon Rozek
- Junkyu Lee
- et al.
- 2024
- AAAI 2024
Large Language Models as Planning Domain Generators (Student Abstract)
- James Oswald
- Kavitha Srinivas
- et al.
- 2024
- AAAI 2024
Credal Marginal MAP
- Radu Marinescu
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
Projects
Top collaborators
RM
Radu Marinescu
Research Staff Member
BG
Balaji Ganesan
Senior Research Engineer
AP
Alessandra Pascale
Senior Research Scientist and manager, Accelerated Discovery, NLP and Inference on Graphs
GR
Gaetano Rossiello
Staff Research Scientist