Isabel Papadimitriou
Incoming Research Fellow
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About
Isabel Papadimitriou is a final-year Computer Science PhD student at Stanford University, advised by Dan Jurafsky. Her research focuses on understanding language use, representation, and learning in large language models, and how these findings shed light on human language. Her work is funded by an NSF Graduate Research Fellowship.
Research Focus
Papadimitriou works on understanding and defining the capabilities of large language models in relation to the human language system. Her work centers on two questions, bringing together the human and artificial faculties for language. First, how do large language models work? To this end, she uses analyses from language science and applies them to artificial language learners in order to analyze the language system that LLMs latently encode. Second, how can a successful artificial language learner inform our knowledge of the human language system? She empirically test the limits of artificial language learning under different conditions, to expand our hypothesis space about how human language learning and representation might function.