ESSLLI 2024
Expressivity of Transformers: Logic, Circuits, and Formal Languages
A major advancement in language modeling is the use of the transformer architecture. But what problems can transformers solve, what problems can they not solve, and how can we prove it? This course examines the expressivity of transformers through the lens of computability and complexity theory. We situate transformers within the landscape of automata, boolean circuits, and formal logics. We discuss what is currently known about transformers’ capabilities and limitations, address practical implications for NLP, and identify directions for future work. Participants gain a comprehensive understanding of transformers’ expressive power.
Organizers

David Chiang
University of Notre Dame
University of Notre Dame
dchaing[æt]nd.edu

Lena Strobl
Umeå University
Umeå University
lena.strobl[æt]umu.se

Jon Rawski
MIT/San Jose State University
MIT/San Jose State University
jon.rawski[æt]sjsu.edu

Andy J Yang
University of Notre Dame
University of Notre Dame
ayang4[æt]nd.edu
Course Schedule
Monday, July 29 – Friday, August 2
5.00pm – 6.30pm
Location: Aula Jean Monnet (the big auditorium)