Joel Mire
Scholar

Joel Mire

Google Scholar ID: OMRPoZkAAAAJ
Carnegie Mellon University
natural language processingcomputational social sciencecultural analytics
Citations & Impact
All-time
Citations
46
 
H-index
3
 
i10-index
2
 
Publications
7
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Published paper 'Rejected Dialects: Biases Against African American Language in Reward Models', NAACL (Findings), 2025
  • - Published paper 'HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs', EMNLP, 2024
  • - Published paper 'The Empirical Variability of Narrative Perceptions of Social Media Texts', EMNLP, 2024
Research Experience
  • - Amazon Web Services, Software Developer Engineer I (8/20 - 3/23), II (4/23 - 8/23)
  • - Recent projects include: Modeling social and structural aspects of narrative discourse in social media; Evaluating robustness of deep learning models to linguistic variation, such as dialect; Examining how people conceptualize language models and negotiate boundaries for acceptable use and personalization
Education
  • - Carnegie Mellon University, PhD Student in Language and Information Technologies, Advisor: Maarten Sap, 8/25 - Present
  • - Carnegie Mellon University, M.S. in Language Technologies, 8/23 - 8/25
  • - Duke University, B.S. in Computer Science and English, 8/16 - 5/20, Advisor: Aarthi Vadde
  • - University of Oxford, Visiting Student, 8/18 - 12/18
Background
  • Research interests include natural language processing, computational social science, and cultural analytics. Currently, the focus is on computational models of textual interpretation, with a particular emphasis on contextual reasoning and variation across individuals and groups.