Scholar
Greg Durrett
Google Scholar ID: EpQ_sDEAAAAJ
Associate Professor of Computer Science, New York University
Citations & Impact
Citations
7,493
H-index
44
i10-index
97
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Yin et al., 'Specializing LLMs with insights from interpretability', NeurIPS 2024
- Tang et al., 'Learning models to assess fine-grained factuality of generation systems', EMNLP 2024
- Ye et al., 'Augmenting LLMs with new capabilities like SMT solvers to improve their reasoning', NeurIPS 2023
- Sprague et al., 'Assessing strengths and weaknesses of chain-of-thought', ICLR 2025
- Singhal et al., 'Post-training analysis of LLMs', COLM 2024
- Co-authored 'Contemporary NLP Modeling in Six Comprehensive Programming Assignments', presented at the Fifth Workshop on Teaching NLP
Background
- Associate Professor in the Computer Science Department (Courant Institute) and Center for Data Science (CDS) at New York University
- Was a professor in the Computer Science Department at the University of Texas at Austin from 2017 to 2025
- Primary research area is Natural Language Processing (NLP) and machine learning
- Focuses on improving large language models’ (LLMs) ability to reason about knowledge in text
- Addresses real-world challenges of LLMs in medical information processing, scientific discovery, and legal reasoning
- Develops methods to train new capabilities, enhance reliability, and evaluate model outputs