Benjamin LeBrun

According to our database, Benjamin LeBrun authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Language Models over Canonical Byte-Pair Encodings.

Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Timothy J. O'Donnell, Ryan Cotterell

CoRR, June, 2025

Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling.

Benjamin Lipkin, Benjamin LeBrun, Jacob Hoover Vigly, João Loula, David R. MacIver, Li Du, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Timothy J. O'Donnell, Alexander K. Lew, Tim Vieira

CoRR, April, 2025

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo.

João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Phantom Costs in Human-Robot Interaction: A Replication Study.

Benjamin LeBrun, Christoph Bartneck, Andrew J. Vonasch

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024

Buying the news: A quantitative study of the effects of corporate acquisition on local news.

Benjamin LeBrun, Kaitlyn Todd, Andrew Piper

New Media Soc., 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

Too good to be true: People reject free gifts from robots because they infer bad intentions.

Benjamin LeBrun, Andrew J. Vonasch, Christoph Bartneck

CoRR, 2024

2023

Detecting the corruption of online questionnaires by artificial intelligence.

Benjamin LeBrun, Sharon Temtsin, Andrew J. Vonasch, Christoph Bartneck

Frontiers Robotics AI, 2023

2022

Evaluating Distributional Distortion in Neural Language Modeling.

Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell

Proceedings of the Tenth International Conference on Learning Representations, 2022