agentic learning
ai lab
design

Ryan Teehan

PhD Student

Ryan Teehan is a PhD student in the CILVR lab at the NYU Center for Data Science, where he is advised by Professor Mengye Ren. His research focuses on abstraction and reasoning, particularly in language, with a long-term goal of understanding and replicating the complexities of general intelligence. Prior to starting his PhD, he earned a joint BA/MS in Mathematics and Computer Science at the University of Chicago.

Ryan Teehan's Papers

2024-11-13
Are LLMs Prescient? A Continuous Evaluation using Daily News as Oracle. Amelia Dai, Ryan Teehan, and Mengye Ren.
2024-03-22
CoLLEGe: Concept Embedding Generation for Large Language Models. Ryan Teehan, Brenden M. Lake, and Mengye Ren.