arXiv Computation and Language
Oct 26

Putting Transformer Theories to the Test

arXiv:2610.32104v1 Announce Type: cross Abstract: Several formal theories have been developed to characterize the capabilities and limitations of the transformer architecture, each employing differen...

By Awni Altabaa, Tobias Schnabel, Kiran Tomlinson
arXiv AI
Jun 19

Efficiently Representing Algorithms With Chain-of-Thought Transformers

arXiv:2606. 19697v1 Announce Type: cross Abstract: The increasing popularity of \emph{reasoning} models -- language models that output a series of reasoning or thought tokens before producing an answer -- is justified, in part, by theoretical results showing that chain-of-thought (CoT) transformers can simulate Turing machines, and thus perform arbitrary computation.

By Yanhong Li, Anej Svete, Ashish Sabharwal, William Merrill