Gabriel Grand

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Textual Entailment Recognition

Natural Language

Sentence Retrieval

Top Venues

Proc. ACM Program. Lang.

Publications

Kanishk Gandhi, Denise Lee, Gabriel Grand, Muxin Liu, Winson Cheng, Archit Sharma, Noah D. Goodman
Stream of Search (SoS): Learning to Search in Language. CoRR (2024)
Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling. CoRR (2024)
Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi 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
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models. CoRR (2024)
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. ICLR (2024)
Matthew Bowers, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama
Top-Down Synthesis for Library Learning. Proc. ACM Program. Lang. 7 (POPL) (2023)
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum
Evaluating statistical language models as pragmatic reasoners. CogSci (2023)
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum
Evaluating statistical language models as pragmatic reasoners. CoRR (2023)
Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought. CoRR (2023)
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. CoRR (2023)
Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum
Grounded physical language understanding with probabilistic programs and simulated worlds. CogSci (2023)
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. CoRR (2023)
Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar
ChemBERTa-2: Towards Chemical Foundation Models. CoRR (2022)
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
Identifying concept libraries from language about object structure. CoRR (2022)
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
Identifying concept libraries from language about object structure. CogSci (2022)
Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama
Top-Down Synthesis for Library Learning. CoRR (2022)
Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction. CoRR (2020)
Gabriel Grand, Yonatan Belinkov
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects. CoRR (2019)
Gabriel Grand, Aron Szanto
On the Flip Side: Identifying Counterexamples in Visual Question Answering. CoRR (2018)
Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings. CoRR (2018)