AI RESEARCH

Transformers are Inherently Succinct

arXiv CS.LG

ArXi:2510.19315v3 Announce Type: replace-cross We study succinctness as a measure of the expressive power of transformers. Succinctness -- how compactly a formalism can describe a language relative to other formalisms -- is a classical notion in logic and automata theory. We prove that fixed-precision transformers are remarkably succinct: they can be exponentially succinct than both linear temporal logic (LTL) and recurrent neural networks, and, by extension, state-space models, and doubly exponentially succinct than finite automata.