Convergent Representations of Computer Programs in Human and Artificial Neural Networks. - Shashank Srikant; Ben Lipkin; Anna A. Ivanova; Evelina Fedorenko; Una-May O'Reilly (NeurIPS, 2022)

Evaluating statistical language models as pragmatic reasoners. - Benjamin Lipkin; Lionel Wong; Gabriel Grand; Josh Tenenbaum 001 (CogSci, 2023)

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. - Theo Olausson; Alex Gu; Benjamin Lipkin; Cedegao E. Zhang; Armando Solar-Lezama; Joshua B. Tenenbaum; Roger Levy (EMNLP, 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models. - Anna A. Ivanova; Aalok Sathe; Benjamin Lipkin; Unnathi Kumar; Setayesh Radkani; Thomas Hikaru Clark; Carina Kauf; Jennifer Hu 001; R. T. Pramod; Gabriel Grand; Vivian C. Paulun; Maria Ryskina; et al. (CoRR, 2024)

Models Can and Should Embrace the Communicative Nature of Human-Generated Math. - Sasha Boguraev; Ben Lipkin; Leonie Weissweiler; Kyle Mahowald (CoRR, 2024)

Distributed Sensitivity to Syntax and Semantics throughout the Language Network. - Cory Shain; Hope H. Kean; Colton Casto; Benjamin Lipkin; Josef Affourtit; Matthew Siegelman; Francis Mollica; Evelina Fedorenko (J. Cogn. Neurosci., 2024)

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 004; Yahya Emara; Marjorie Freedman; Jason Eisner; Ryan Cotterell; Vikash Mansinghka 001; et al. (ICLR, 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 001; Timothy J. O'Donnell; Alexander K. Lew; Tim Vieira (CoRR, 2025)