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Home/Authors/Ryan Cotterell

Ryan Cotterell

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

Formal Lang.×2NLP×2ML×2AI×1Complexity×1

Frequent co-authors

Franz Nowak1×
Reda Boumasmoud1×
Anej Svete1×
William Merrill1×
Ashish Sabharwal1×

Research Timeline

2026
Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't

The paper analyzes the expressivity of padded transformers, proving that their computational power is primarily determined by model depth and numeric precision, rather than attention type or width.

An Algebraic View of the Expressivity of Recurrent Language Models

The paper provides a unified algebraic framework to determine the formal language expressivity of recurrent neural language models, resolving conflicts in existing literature by linking expressivity to algebraic properties of the network's structure.

Highlighted terms show continued research focus across papers

Papers

cs.FLcs.CLcs.LGRecentJun 1, 2026

An Algebraic View of the Expressivity of Recurrent Language Models

Franz Nowak, Ryan Cotterell, Reda Boumasmoud

The paper provides a unified algebraic framework to determine the formal language expressivity of recurrent neural language models, resolving conflicts in existing literature by linking expressivity t…

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cs.LGcs.AIcs.CCRecentMay 28, 2026

Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't

Anej Svete, William Merrill, Ryan Cotterell, Ashish Sabharwal

The paper analyzes the expressivity of padded transformers, proving that their computational power is primarily determined by model depth and numeric precision, rather than attention type or width.

View →