ConstrainedSQL: Training LLMs for Text2SQL via Constrained Reinforcement Learning
- Weiqin Chen
- Nhan Pham
- et al.
- 2025
- NeurIPS 2025
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
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
- Quan Xiao
- Debarun Bhattacharjya
- et al.
- 2025
- UAI 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
RM
Radu Marinescu
Research Staff Member
JC
Jie Chen
Senior Research Scientist and Manager
LN
Lam M. Nguyen
Staff Research Scientist; Master Inventor