Maxwell Nye

Most-cited papers

Program Synthesis with Large Language Models
Jacob Austin, A. Odena, Maxwell Nye, Maarten Bosma +7 more
2021arXiv.org4,900 citations
Semantic Scholar
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye, Anders Andreassen, Guy Gur-Ari, H. Michalewski +8 more
2021arXiv.org1,149 citations
Semantic Scholar
DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer +5 more
2021ACM-SIGPLAN Symposium on Programming Language Design and Implementation318 citations Open access
Semantic Scholar
DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning
Kevin Ellis, Lionel Wong, Maxwell Nye, Mathias Sablé-Meyer +5 more
2020Philosophical Transactions of the Royal Society A279 citations Open access
Semantic Scholar
Implicit Representations of Meaning in Neural Language Models
Belinda Z. Li, Maxwell Nye, Jacob Andreas
2021Annual Meeting of the Association for Computational Linguistics254 citations Open access
Semantic Scholar
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa +2 more
2019Neural Information Processing Systems195 citations
Semantic Scholar
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye, Michael Henry Tessler, J. Tenenbaum, B. Lake
2021Neural Information Processing Systems153 citations
Semantic Scholar
Learning to Infer Program Sketches
Maxwell Nye, Luke B. Hewitt, J. Tenenbaum, Armando Solar-Lezama
2019International Conference on Machine Learning123 citations
Semantic Scholar
Learning Compositional Rules via Neural Program Synthesis
Maxwell Nye, Armando Solar-Lezama, J. Tenenbaum, B. Lake
2020Neural Information Processing Systems120 citations
Semantic Scholar
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt, Maxwell Nye, Andreea Gane, T. Jaakkola +1 more
2018Conference on Uncertainty in Artificial Intelligence71 citations
Semantic Scholar
Communicating Natural Programs to Humans and Machines
Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong +5 more
2021Neural Information Processing Systems53 citations Open access
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Symbolic metaprogram search improves learning efficiency and explains rule learning in humans
Joshua S. Rule, Steven T. Piantadosi, Andrew Cropper, Kevin Ellis +2 more
2024Nature Communications32 citations Open access
Semantic Scholar
Representing Partial Programs with Blended Abstract Semantics
Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas +2 more
2020International Conference on Learning Representations25 citations
Semantic Scholar
Are Efficient Deep Representations Learnable?
Maxwell Nye, Andrew M. Saxe
2018International Conference on Learning Representations23 citations
Semantic Scholar
A large-scale benchmark for few-shot program induction and synthesis
Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell Nye +4 more
2021International Conference on Machine Learning20 citations
Semantic Scholar
Language Modeling with Latent Situations
Belinda Z. Li, Maxwell Nye, Jacob Andreas
2022Annual Meeting of the Association for Computational Linguistics7 citations Open access
Semantic Scholar
LARC: Language annotated Abstraction and Reasoning Corpus
Samuel Acquaviva, Yewen Pu, Maxwell Nye, Catherine Wong +2 more
2021Annual Meeting of the Cognitive Science Society2 citations
Semantic Scholar
Muse Glimmer 30B: An On-Device Agentic Model
Arash Ebrahim Abtahizadeh, Muna Aghamelu, A. Ahmed, Juan C. Angeles Acuna +325 more
20261 citations
Semantic Scholar
DreamCoder software and data
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer +5 more
2021Artifact Digital Object Group1 citations
Semantic Scholar
DreamCoder: Building interpretable hierarchical knowledge representations with wake-sleep Bayesian program learning
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sablé-Meyer +5 more
20200 citations
Semantic Scholar