Gabriel Grand

27 papers A* 2B 4Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits.
CoRR
Dev Patel, Gabrielle Gervacio, Diekola Raimi, Kevin Zhu, Ryan Lagasse, Gabriel Grand, Ashwinee Panda, Maheep Chaudhary
2025 J jnl
Chopping Trees: Semantic Similarity Based Dynamic Pruning for Tree-of-Thought Reasoning.
CoRR
Joongho Kim, Xirui Huang, Zarreen Reza, Gabriel Grand, Kevin Zhu, Ryan Lagasse
2025 J jnl
Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models.
Trans. Assoc. Comput. Linguistics
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
2025 J jnl
Self-Steering Language Models.
CoRR
Gabriel Grand, Joshua B. Tenenbaum, Vikash K. Mansinghka, Alexander K. Lew, Jacob Andreas
2025 J jnl
Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People.
CoRR
Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum
2025 A* conf
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo.
ICLR
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
2025 J jnl
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo.
CoRR
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
2024 J jnl
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models.
CoRR
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 Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas
2024 A* conf
LILO: Learning Interpretable Libraries by Compressing and Documenting Code.
ICLR
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
2024 B conf
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling.
CogSci
Gabriel Grand, Valerio Pepe, Jacob Andreas, Josh Tenenbaum
2024 J jnl
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling.
CoRR
Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum
2024 J jnl
Stream of Search (SoS): Learning to Search in Language.
CoRR
Kanishk Gandhi, Denise Lee, Gabriel Grand, Muxin Liu, Winson Cheng, Archit Sharma, Noah D. Goodman
2023 B conf
Evaluating statistical language models as pragmatic reasoners.
CogSci
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum
2023 J jnl
Evaluating statistical language models as pragmatic reasoners.
CoRR
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum
2023 J jnl
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.
CoRR
Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum
2023 B conf
Grounded physical language understanding with probabilistic programs and simulated worlds.
CogSci
Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum
2023 J jnl
LILO: Learning Interpretable Libraries by Compressing and Documenting Code.
CoRR
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
2023 J jnl
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs.
CoRR
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka
2023 J jnl
Top-Down Synthesis for Library Learning.
Proc. ACM Program. Lang.
Matthew Bowers, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama
2022 J jnl
ChemBERTa-2: Towards Chemical Foundation Models.
CoRR
Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar
2022 B conf
Identifying concept libraries from language about object structure.
CogSci
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
2022 J jnl
Identifying concept libraries from language about object structure.
CoRR
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
2022 J jnl
Top-Down Synthesis for Library Learning.
CoRR
Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama
2020 J jnl
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.
CoRR
Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar
2019 J jnl
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects.
CoRR
Gabriel Grand, Yonatan Belinkov
2018 J jnl
On the Flip Side: Identifying Counterexamples in Visual Question Answering.
CoRR
Gabriel Grand, Aron Szanto
2018 J jnl
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings.
CoRR
Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko