The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
- Quan Xiao
- Debarun Bhattacharjya
- et al.
- 2025
- UAI 2025
Publications
17 results for Radu Marinescu
Assessing Confidence in Large Language Models by Classifying Task Correctness using Similarity Features
- Debarun Bhattacharjya
- Balaji Ganesan
- et al.
- 2025
- ICLR 2025
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
- Yufang Hou
- Alessandra Pascale
- et al.
- 2024
- NeurIPS 2024
Abductive Reasoning in Logical Credal Networks
- Radu Marinescu
- Junkyu Lee
- et al.
- 2024
- NeurIPS 2024
Consistency-based Black-box Uncertainty Quantification for Text-to-SQL
- Debarun Bhattacharjya
- Balaji Ganesan
- et al.
- 2024
- NeurIPS 2024
A Framework for Agents Guiding Foundation Models through Knowledge and Reasoning
- Debarun Bhattacharjya
- Junkyu Lee
- et al.
- 2024
- IJCAI 2024
Credal Marginal MAP
- Radu Marinescu
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization
- Paulito Palmes
- Akihiro Kishimoto
- et al.
- 2023
- JuliaCon 2023
Automated AI For Decision Optimization with Reinforcement Learning
- Shankar Subramaniam
- Takayuki Osogami
- et al.
- 2023
- AAAI 2023
An End-to-end Automated AI System for Reinforcement Learning
- Long Vu
- Todd Mummert
- et al.
- 2022
- INFORMS 2022