Scholar
Mirac Suzgun
Google Scholar ID: C3aEsC8AAAAJ
Stanford University
machine learning
natural language processing
law & policy
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Citations & Impact
All-time
Citations
12,415
H-index
22
i10-index
23
Publications
20
Co-authors
17
list available
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Publications
3 items
Cost-of-Pass: An Economic Framework for Evaluating Language Models
2025
Cited
0
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
2025
Cited
0
AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County
2025
Cited
0
Resume (English only)
Academic Achievements
Co-authored 'Assessing the Implementation of Federal AI Leadership and Compliance Mandates' (White Paper, January 2025).
Lead author of 'Belief in the Machine: Investigating Epistemological Blind Spots of Language Models' (arXiv 2024, under review).
Co-authored 'AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County' (arXiv 2024).
Contributed to 'Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools' (Journal of Empirical Legal Studies).
Co-founded the Harvard Machine Intelligence Community.
Contributed to the PredictionX Project at Harvard.
Co-authors
17 total
Dan Jurafsky
Professor of Linguistics and Computer Science, Stanford University
Sebastian Gehrmann
Head of Responsible AI, CTO Office, Bloomberg LP
Denny Zhou
Research Scientist, Google DeepMind
Daniel E. Ho
Stanford University
James Zou
Stanford University
Co-author 6
Luke Melas-Kyriazi
Oxford University
Freda Shi
Assistant Professor of Computer Science, University of Waterloo
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