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ORCIDGabriel Grand
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2020 – today
- 2024
[c4]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- [i14]Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum:
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling. CoRR abs/2402.19471 (2024) - [i13]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 abs/2404.03683 (2024) - [i12]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 abs/2405.09605 (2024) - 2023
- [j1]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): 1182-1213 (2023) - [c3]Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum:
Evaluating statistical language models as pragmatic reasoners. CogSci 2023 - [c2]Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum:
Grounded physical language understanding with probabilistic programs and simulated worlds. CogSci 2023 - [i11]Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum:
Evaluating statistical language models as pragmatic reasoners. CoRR abs/2305.01020 (2023) - [i10]Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka:
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. CoRR abs/2306.03081 (2023) - [i9]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 abs/2306.12672 (2023) - [i8]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 abs/2310.19791 (2023) - 2022
- [c1]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 - [i7]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 abs/2205.05666 (2022) - [i6]Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar:
ChemBERTa-2: Towards Chemical Foundation Models. CoRR abs/2209.01712 (2022) - [i5]Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama:
Top-Down Synthesis for Library Learning. CoRR abs/2211.16605 (2022) - 2020
- [i4]Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar:
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction. CoRR abs/2010.09885 (2020)
2010 – 2019
- 2019
- [i3]Gabriel Grand, Yonatan Belinkov:
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects. CoRR abs/1906.08430 (2019) - 2018
- [i2]Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko:
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings. CoRR abs/1802.01241 (2018) - [i1]Gabriel Grand, Aron Szanto:
On the Flip Side: Identifying Counterexamples in Visual Question Answering. CoRR abs/1806.00857 (2018)
Coauthor Index
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