Sheza Munir
Scholar

Sheza Munir

Google Scholar ID: kbZFdKsAAAAJ
Graduate Student, University of Michigan
Machine LearningNLPMisinformationFactuality
Citations & Impact
All-time
Citations
17
 
H-index
2
 
i10-index
0
 
Publications
4
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published papers include 'FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation' (Under Review at ICLR 2025) and 'Deepfake Defense: Constructing and Evaluating a Specialized Urdu Deepfake Audio Dataset' (ACL Findings 2024).
Research Experience
  • Research Assistant at LAUNCH Lab, working with Dr. Lu Wang; previously Research Assistant - Lab Head at Center for Speech and Learning Technologies, LUMS.
Education
  • Master's student at the University of Michigan, advised by Dr. Lu Wang; joining the PhD program at the University of Toronto in Fall 2025, supervised by Dr. Ishtiaque Ahmed.
Background
  • Master's student, focusing on advancing Responsible AI by enhancing the factuality of large language models and improving evaluation methods, particularly in social NLP contexts.
Miscellany
  • Teaching experience includes courses like Git, Shell, and Servers, Deep Learning, and Human-Computer Interaction.