Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. - Kenton Murray; Brian DuSell; David Chiang 001 (NGT@EMNLP-IJCNLP, 2019)

Learning Context-free Languages with Nondeterministic Stack RNNs. - Brian DuSell; David Chiang 001 (CoNLL, 2020)

Algorithms for Weighted Pushdown Automata. - Alexandra Butoi; Brian DuSell; Tim Vieira; Ryan Cotterell; David Chiang 001 (EMNLP, 2022)

Learning Hierarchical Structures with Differentiable Nondeterministic Stacks. - Brian DuSell; David Chiang 001 (ICLR, 2022)

The Surprising Computational Power of Nondeterministic Stack RNNs. - Brian DuSell; David Chiang 001 (ICLR, 2023)

Nondeterministic Stacks in Neural Networks. - Brian DuSell (CoRR, 2023)

PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin. - Stephen Bothwell; Brian DuSell; David Chiang 001; Brian Krostenko (LREC/COLING, 2024)

On the Proper Treatment of Tokenization in Psycholinguistics. - Mario Giulianelli; Luca Malagutti; Juan Luis Gastaldi; Brian DuSell; Tim Vieira; Ryan Cotterell (EMNLP, 2024)

Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns. - Brian DuSell; David Chiang 001 (ICLR, 2024)

From Language Models over Tokens to Language Models over Characters. - Tim Vieira; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Brian DuSell; John Terilla; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2024)

Information Locality as an Inductive Bias for Neural Language Models. - Taiga Someya; Anej Svete; Brian DuSell; Timothy J. O'Donnell; Mario Giulianelli; Ryan Cotterell (ACL (1), 2025)

Training Neural Networks as Recognizers of Formal Languages. - Alexandra Butoi; Ghazal Khalighinejad; Anej Svete; Josef Valvoda; Ryan Cotterell; Brian DuSell (ICLR, 2025)

The Foundations of Tokenization: Statistical and Computational Concerns. - Juan Luis Gastaldi; John Terilla; Luca Malagutti; Brian DuSell; Tim Vieira; Ryan Cotterell (ICLR, 2025)

Language Models over Canonical Byte-Pair Encodings. - Tim Vieira; Tianyu Liu 004; Clemente Pasti; Yahya Emara; Brian DuSell; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2025)