A Fast Algorithm for Computing Prefix Probabilities. - Franz Nowak; Ryan Cotterell (ACL (2), 2023)

On the Representational Capacity of Recurrent Neural Language Models. - Franz Nowak; Anej Svete; Li Du; Ryan Cotterell (EMNLP, 2023)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. - Nadav Borenstein; Anej Svete; Robin Chan; Josef Valvoda; Franz Nowak; Isabelle Augenstein; Eleanor Chodroff; Ryan Cotterell (ACL (1), 2024)

On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. - Franz Nowak; Anej Svete; Alexandra Butoi; Ryan Cotterell (ACL (1), 2024)

An L* Algorithm for Deterministic Weighted Regular Languages. - Clemente Pasti; Talu Karagöz; Franz Nowak; Anej Svete; Reda Boumasmoud; Ryan Cotterell (EMNLP, 2024)

Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. - Eleftheria Tsipidi; Franz Nowak; Ryan Cotterell; Ethan Wilcox; Mario Giulianelli; Alex Warstadt (EMNLP, 2024)

Lower Bounds on the Expressivity of Recurrent Neural Language Models. - Anej Svete; Franz Nowak; Anisha Mohamed Sahabdeen; Ryan Cotterell (NAACL-HLT, 2024)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. - Nadav Borenstein; Anej Svete; Robin Shing Moon Chan; Josef Valvoda; Franz Nowak; Isabelle Augenstein; Eleanor Chodroff; Ryan Cotterell (CoRR, 2024)

An L* Algorithm for Deterministic Weighted Regular Languages. - Clemente Pasti; Talu Karagöz; Anej Svete; Franz Nowak; Reda Boumasmoud; Ryan Cotterell (CoRR, 2024)

The Harmonic Structure of Information Contours. - Eleftheria Tsipidi; Samuel Kiegeland; Franz Nowak; Tianyang Xu; Ethan Wilcox; Alex Warstadt; Ryan Cotterell; Mario Giulianelli (ACL (1), 2025)

Bridging Expressivity and Scalability with Adaptive Unitary SSMs. - Arjun Karuvally; Franz Nowak; Thomas A. Keller 001; Carmen Amo Alonso; Terrence J. Sejnowski; Hava T. Siegelmann (CoRR, 2025)