--- title: "Maxwell Nye — author profile and papers — Elamur Research" description: "Maxwell Nye: 5 papers on Elamur Research (2019–2021), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/maxwell-nye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maxwell-nye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Maxwell Nye # Maxwell Nye Maxwell Nye has 5 papers in our library, in 2019–2021, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Joshua B. Tenenbaum](https://md.research.elamur.ai/free/en/authors/joshua-b-tenenbaum/), [Armando Solar-Lezama](https://md.research.elamur.ai/free/en/authors/armando-solar-lezama/), [Catherine Wong](https://md.research.elamur.ai/free/en/authors/catherine-wong/). 5 papers in our library · 2019–2021 [OpenAlex](https://openalex.org/A5112464301) · [**h-index 9**](https://openalex.org/authors/A5112464301) · [21 works](https://openalex.org/works?filter=author.id:A5112464301) · [523 citations](https://openalex.org/works?filter=author.id:A5112464301&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/maxwell-nye/#papers) · [🔗 Cited 1,354 times in our library](https://md.research.elamur.ai/free/en/authors/maxwell-nye/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2187](https://md.research.elamur.ai/free/en/paper-stars/page/22/#star-2187) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Maxwell+Nye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Maxwell+Nye) · [dblp](https://dblp.org/search?q=Maxwell+Nye) · [ACL Anthology](https://aclanthology.org/search/?q=Maxwell+Nye) ## Affiliations [🎓**Massachusetts Institute of Technology** Cambridge · United States 2018–2023 · 15 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science Applications · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Code & programming languages · 3 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/) ## Works by year ### 2020s [**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/maxwell-nye/year/2021/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/maxwell-nye/year/2020/) ### 2010s [**2019** 2 papers](https://md.research.elamur.ai/free/en/authors/maxwell-nye/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Program Synthesis with Large Language Models](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/)** *(2021 · 1,192 citations)* The paper asks how far general-purpose large Transformer language models can go at writing short programs in an ordinary language like Python, rather than in a narrow DSL. 2. **[Write, Execute, Assess: Program Synthesis with a REPL](https://md.research.elamur.ai/free/en/papers/ellis-2019-write-execute-assess-program-synthesis/)** *(2019 · 86 citations)* Program synthesis is difficult because a small syntactic edit can drastically change what a program does, and neural networks struggle to learn this mapping. 3. **[Learning to Infer Program Sketches](https://md.research.elamur.ai/free/en/papers/nye-2019-learning-infer-program-sketches/)** *(2019 · 53 citations)* The paper addresses program synthesis from specifications that people find easy to give, namely input-output examples and natural-language descriptions. 4. **[Communicating Natural Programs to Humans and Machines](https://md.research.elamur.ai/free/en/papers/acquaviva-2021-communicating-natural-programs-humans-machines/)** *(2021 · 22 citations)* ARC (Abstraction and Reasoning Corpus) is a set of puzzles on grids of colored cells. Given a few input–output examples, one has to infer the rule and apply it to a new input. Humans solve most of these tasks easily, while the best AI systems solve only a small fraction. The authors argue that the reason is language.… 5. **[DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning](https://md.research.elamur.ai/free/en/papers/ellis-2020-dreamcoder-growing-generalizable-interpretable-knowledge/)** *(2020 · 22 citations)* Program induction treats learning a task as finding a program that produces the desired behavior. It generalizes well from a few examples and yields knowledge humans can read. In practice, though, it has relied on hand-crafted domain-specific languages (DSLs) and search procedures tuned to them. DreamCoder learns… ## All works 6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. [**Program Synthesis with Large Language Models arXiv:2108.07732**Jacob Austin, Augustus Odena, Maxwell Nye, et al.*2021 · 1,192 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/) 2. **[Implicit Representations of Meaning in Neural Language Models ↗](https://aclanthology.org/2021.acl-long.143/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Belinda Z. Li, Maxwell Nye, Jacob Andreas*2021 · 175 citations* 3. [**Write, Execute, Assess: Program Synthesis with a REPL arXiv:1906.04604**Kevin Ellis, Maxwell Nye, Yewen Pu, et al.*2019 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ellis-2019-write-execute-assess-program-synthesis/) 4. [**Learning to Infer Program Sketches arXiv:1902.06349**Maxwell Nye, Luke Hewitt, Joshua Tenenbaum, et al.*2019 · 53 citations*](https://md.research.elamur.ai/free/en/papers/nye-2019-learning-infer-program-sketches/) 5. **[Communicating Natural Programs to Humans and Machines](https://md.research.elamur.ai/free/en/papers/acquaviva-2021-communicating-natural-programs-humans-machines/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Samuel Acquaviva, Yewen Pu, Marta Kryven, et al.*2021 · 22 citations* 6. [**DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning arXiv:2006.08381**Kevin Ellis, Catherine Wong, Maxwell Nye, et al.*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/ellis-2020-dreamcoder-growing-generalizable-interpretable-knowledge/) ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Joshua B. Tenenbaum](https://md.research.elamur.ai/free/en/authors/joshua-b-tenenbaum/) ×4 - [Armando Solar-Lezama](https://md.research.elamur.ai/free/en/authors/armando-solar-lezama/) ×3 - [Catherine Wong](https://md.research.elamur.ai/free/en/authors/catherine-wong/) ×2 - [Kevin Ellis](https://md.research.elamur.ai/free/en/authors/kevin-ellis/) ×2 - [Luke Hewitt](https://md.research.elamur.ai/free/en/authors/luke-hewitt/) ×2 - [Yewen Pu](https://md.research.elamur.ai/free/en/authors/yewen-pu/) ×2 - [Carrie Cai](https://md.research.elamur.ai/free/en/authors/carrie-cai/) - [Charles Sutton](https://md.research.elamur.ai/free/en/authors/charles-sutton/) - [David Dohan](https://md.research.elamur.ai/free/en/authors/david-dohan/) - [Henryk Michalewski](https://md.research.elamur.ai/free/en/authors/henryk-michalewski/) - [Jacob Austin](https://md.research.elamur.ai/free/en/authors/jacob-austin/) - [Maarten Bosma](https://md.research.elamur.ai/free/en/authors/maarten-bosma/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2021](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/) - Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 1,354 times (of the 149,439 papers whose bibliographies we read); [471 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/maxwell-nye/cited-by/). Updated 3 November 2026