Black-Box Uncertainty Quantification for Large Language Models via Ensemble-of-Ensembles
- Wang Ma
- Debarun Bhattacharjya
- et al.
- 2026
- AAAI 2026
Nhan Pham
Title
Staff Research Scientist
Bio
I am a Research Scientist at the IBM Thomas J. Watson Research Center in Yorktown Heights, NY. I finished my PhD in Operations Research in Department of Statistics and Operations Research at University of North Carolina at Chapel Hill in 2021 under supervision by Dr. Quoc Tran-Dinh. My research topics include stochastic methods for non-convex optimization with applications in machine learning, deep learning, and reinforcement learning, generative AI for data management such as text2SQL.
Publications
ConstrainedSQL: Training LLMs for Text2SQL via Constrained Reinforcement Learning
- Weiqin Chen
- Nhan Pham
- et al.
- 2025
- NeurIPS 2025
Rationalization Models for Text-to-SQL
- 2025
- ICLR 2025
Attacking c-MARL More Effectively: A Data Driven Approach
- Nhan Pham
- Lam Nguyen
- et al.
- 2023
- ICDM 2023
Unleashing the Potential of Data Lakes with Semantic Enrichment using Foundation Models
- Nandana Mihindukulasooriya
- Sarthak Dash
- et al.
- 2023
- ISWC 2023
Matching Table Metadata with Business Glossaries Using Large Language Models
- Elita Lobo
- Oktie Hassanzadeh
- et al.
- 2023
- ISWC 2023
Automated AI For Decision Optimization with Reinforcement Learning
- Shankar Subramaniam
- Takayuki Osogami
- et al.
- 2023
- AAAI 2023
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model
- Nhan Pham
- Lam Nguyen
- et al.
- 2022
- NeurIPS 2022
An End-to-end Automated AI System for Reinforcement Learning
- Long Vu
- Todd Mummert
- et al.
- 2022
- INFORMS 2022
Top collaborators
GR
Gaetano Rossiello
Staff Research Scientist
LN
Lam M. Nguyen
Staff Research Scientist; Master Inventor
TH
Lam Hoang
Research Staff Member, Master Inventor
JL
Junkyu Lee
Research Scientist