Brian DuSell

28 papers A* 9B 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bearing Syntactic Fruit with Stack-Augmented Neural Networks.
CoRR
Brian DuSell, Ryan Cotterell
2025 A* conf
From Language Models over Tokens to Language Models over Characters.
ICML
Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell
2025 — conf
Information Locality as an Inductive Bias for Neural Language Models.
ACL (1)
Taiga Someya, Anej Svete, Brian DuSell, Timothy J. O'Donnell, Mario Giulianelli, Ryan Cotterell
2025 J jnl
Information Locality as an Inductive Bias for Neural Language Models.
CoRR
Taiga Someya, Anej Svete, Brian DuSell, Timothy J. O'Donnell, Mario Giulianelli, Ryan Cotterell
2025 A* conf
Language Models over Canonical Byte-Pair Encodings.
ICML
Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Timothy J. O'Donnell, Ryan Cotterell
2025 J jnl
Language Models over Canonical Byte-Pair Encodings.
CoRR
Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Timothy J. O'Donnell, Ryan Cotterell
2025 A* conf
The Foundations of Tokenization: Statistical and Computational Concerns.
ICLR
Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell
2025 A* conf
Training Neural Networks as Recognizers of Formal Languages.
ICLR
Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell
2024 J jnl
From Language Models over Tokens to Language Models over Characters.
CoRR
Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell
2024 A* conf
On the Proper Treatment of Tokenization in Psycholinguistics.
EMNLP
Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell
2024 J jnl
On the Proper Treatment of Tokenization in Psycholinguistics.
CoRR
Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell
2024 — conf
PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin.
LREC/COLING
Stephen Bothwell, Brian DuSell, David Chiang, Brian Krostenko
2024 J jnl
PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin.
CoRR
Stephen Bothwell, Brian DuSell, David Chiang, Brian Krostenko
2024 A* conf
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns.
ICLR
Brian DuSell, David Chiang
2024 J jnl
The Foundations of Tokenization: Statistical and Computational Concerns.
CoRR
Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell
2024 J jnl
Training Neural Networks as Recognizers of Formal Languages.
CoRR
Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell
2023 J jnl
Nondeterministic Stacks in Neural Networks.
CoRR
Brian DuSell
2023 J jnl
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns.
CoRR
Brian DuSell, David Chiang
2023 A* conf
The Surprising Computational Power of Nondeterministic Stack RNNs.
ICLR
Brian DuSell, David Chiang
2022 A* conf
Algorithms for Weighted Pushdown Automata.
EMNLP
Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang
2022 J jnl
Algorithms for Weighted Pushdown Automata.
CoRR
Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang
2022 A* conf
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks.
ICLR
Brian DuSell, David Chiang
2022 J jnl
The Surprising Computational Power of Nondeterministic Stack RNNs.
CoRR
Brian DuSell, David Chiang
2021 J jnl
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks.
CoRR
Brian DuSell, David Chiang
2020 J jnl
Learning Context-Free Languages with Nondeterministic Stack RNNs.
CoRR
Brian DuSell, David Chiang
2020 B conf
Learning Context-free Languages with Nondeterministic Stack RNNs.
CoNLL
Brian DuSell, David Chiang
2019 — conf
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task.
NGT@EMNLP-IJCNLP
Kenton Murray, Brian DuSell, David Chiang
2019 J jnl
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task.
CoRR
Kenton Murray, Brian DuSell, David Chiang