Gabriel Grand

According to our database, Gabriel Grand authored at least 21 papers between 2018 and 2025.

Collaborative distances:

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

2025

Chopping Trees: Semantic Similarity Based Dynamic Pruning for Tree-of-Thought Reasoning.

Joongho Kim, Xirui Huang, Zarreen Reza, Gabriel Grand, Kevin Zhu, Ryan Lagasse

CoRR, November, 2025

Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits.

Dev Patel, Gabrielle Gervacio, Diekola Raimi, Kevin Zhu, Ryan Lagasse, Gabriel Grand, Ashwinee Panda, Maheep Chaudhary

CoRR, November, 2025

Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People.

Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum

CoRR, October, 2025

Self-Steering Language Models.

Gabriel Grand, Joshua B. Tenenbaum, Vikash K. Mansinghka, Alexander K. Lew, Jacob Andreas

CoRR, April, 2025

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 U. Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Gotlieb Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas

Trans. Assoc. Comput. Linguistics, 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

2024

Stream of Search (SoS): Learning to Search in Language.

Kanishk Gandhi, Denise Lee, Gabriel Grand, Muxin Liu, Winson Cheng, Archit Sharma, Noah D. Goodman

CoRR, 2024

LILO: Learning Interpretable Libraries by Compressing and Documenting Code.

Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling.

Gabriel Grand, Valerio Pepe, Jacob Andreas, Josh Tenenbaum

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

Top-Down Synthesis for Library Learning.

Matthew Bowers, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

Proc. ACM Program. Lang., January, 2023

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.

Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum

CoRR, 2023

Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs.

Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka

CoRR, 2023

Grounded physical language understanding with probabilistic programs and simulated worlds.

Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Evaluating statistical language models as pragmatic reasoners.

Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Top-Down Synthesis for Library Learning.

Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

CoRR, 2022

ChemBERTa-2: Towards Chemical Foundation Models.

Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

CoRR, 2022

Identifying concept libraries from language about object structure.

Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.

Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

CoRR, 2020

2019

Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects.

Gabriel Grand, Yonatan Belinkov

CoRR, 2019

2018

On the Flip Side: Identifying Counterexamples in Visual Question Answering.

Gabriel Grand, Aron Szanto

CoRR, 2018

Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings.

Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko

CoRR, 2018