Symbols and Grounding in Large Language Models
Ellie Pavlick explores the internal representations and mechanisms of LLMs, focusing on their capacity for abstract, compositional, and content-independent operations crucial for advanced cognition.
Faculty & Researcher Profile
Ellie Pavlick
Assistant Professor of Computer Science
Ellie Pavlick is an Assistant Professor of Computer Science at Brown University, specializing in natural language processing and the interpretability of large language models.
2standalone talks2total lectures3hrecorded
Education & Doctoral Lineage
- Ph.D. in Computer and Information Science, University of Pennsylvania
- M.S. in Computer and Information Science, University of Pennsylvania
- B.A. in Linguistics, Johns Hopkins University
Appointments & Career
- Assistant Professor of Computer Science, Brown University (2020-Present)
- Postdoctoral Researcher, Google AI (2019-2020)
- Research Intern, Google AI (2017)
- Research Intern, Microsoft Research (2016)
Intellectual Web & Academic Lineage · Ellie Pavlick
4 connectionsVerified alma mater degrees, faculty appointments, co-authors, doctoral lineage, and intellectual peers across the archive.
Faculty Appointmentinstitution
Brown University
3 lectures
Faculty & Lecturer · Brown University, ISC Summer School
Faculty Appointmentinstitution
Microsoft Research
6 lectures
Research Intern, Microsoft Research (2016)
Alma Materinstitution
Johns Hopkins University
1 lectures
B.A. in Linguistics, Johns Hopkins University
Faculty Appointmentinstitution
ISC Summer School
2 lectures
Faculty & Lecturer · Brown University, ISC Summer School
Standalone talks by Ellie Pavlick
2Self-contained public lectures, keynote addresses, and research seminars.
