Muneeza Azmat

According to our database, Muneeza Azmat authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Exploring Human Perceptions of AI Responses: Insights from a Mixed-Methods Study on Risk Mitigation in Generative Models.

Heloisa Candello, Muneeza Azmat, Uma Sushmitha Gunturi, Raya Horesh, Rogério Abreu de Paula, Heloisa Pimentel, Marcelo Carpinette Grave, Aminat Adebiyi, Tiago Machado, Maysa Malfiza Garcia de Macedo

CoRR, December, 2025

A Comprehensive Evaluation framework of Alignment Techniques for LLMs.

Muneeza Azmat, Momin Abbas, Maysa Malfiza Garcia de Macedo, Marcelo Carpinette Grave, Luan Soares de Souza, Tiago Machado, Rogério Abreu de Paula, Raya Horesh, Yixin Chen, Heloisa Caroline de Souza Pereira Candello, Rebecka Nordenlow, Aminat Adebiyi

CoRR, August, 2025

Out-of-Distribution Detection using Synthetic Data Generation.

Momin Abbas, Muneeza Azmat, Raya Horesh, Mikhail Yurochkin

CoRR, February, 2025

SPRI: Aligning Large Language Models with Context-Situated Principles.

Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding.

Ziyao Wang, Muneeza Azmat, Ang Li, Raya Horesh, Mikhail Yurochkin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

A SWAT-based Reinforcement Learning Framework for Crop Management.

Malvern Madondo, Muneeza Azmat, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Arun Bawa, Raghavan Srinivasan, Fearghal O'Donncha

CoRR, 2023

Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management.

Muneeza Azmat, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Efficient Extraction of Insights at the Edges of Distributed Systems.

Amadou Ba, Fearghal O'Donncha, Joern Ploennigs, Muneeza Azmat

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors.

Ethan Tu, Muneeza Azmat, Kelley Branch, Adam M. Alessio

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Machine learned versus analytical models for estimation of fractional flow reserve from CT-derived information.

Muneeza Azmat, Ethan Tu, Kelley R. Branch, Adam M. Alessio

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021