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Jonathan Malmaud

Jonathan Malmaud has 2 papers in our library, in 2020–2023, most of them on Question answering, Code & programming languages, English; often with Jacob Austin, Jeffrey Hui, Joshua Howland.

2 papers in our library · 2020–2023

OpenAlex · ORCID · h-index 12 · 31 works · 1,392 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 42 times in our library · ⭐ Paper Stars ranking: #9389

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢GoogleMountain View · United States2021–2025 · 2 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2013–2020 · 6 papers🎓California Institute of TechnologyPasadena · United States2010–2011 · 4 papers

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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksDevelopmental and Educational Psychology · 1 workPsychology · 1 workComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Code & programming languages · 1 workEnglish · 1 workQuestion answering · 1 work

 Works by year

2020s

20231 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. STARC: Structured Annotations for Reading Comprehension (2020 · 39 citations)
    STARC is a scheme for four-option reading questions in which the options have fixed roles tied to marked text spans: A is right and rests on a «critical span»; B mentions the critical span but misunderstands it; C refers to a separate «distractor span»; D has no support in the text.
  2. Measuring The Impact Of Programming Language Distribution (2023 · 22 citations)
    Code LLMs are usually trained on GitHub data, where each language's share reflects how much code exists rather than how many developers use it.

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 42 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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