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Arjun Subramonian

Arjun Subramonian has 2 papers in our library, in 2021–2022, most of them on Multilingual & cross-lingual NLP; often with Aurélie Névéol, Dragomir Radev, Kai-Wei Chang.

2 papers in our library · 2021–2022

OpenAlex · ORCID · Wikidata · h-index 10 · 50 works · 1,419 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 176 times in our library · ⭐ Paper Stars ranking: #3919

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

🎓University of California, Los AngelesLos Angeles · United States2020–2026 · 24 paperscurrent🔬Centrum Wiskunde & InformaticaAmsterdam · Netherlands2026 · 2 paperscurrent🎓University of CopenhagenCopenhagen · Denmark2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Social Sciences · 2 worksSafety Research · 2 worksPsychology · 1 workGender Studies · 1 workSocial Psychology · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workComputer Science · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20221 paperArjun Subramonian's papers of 202220211 paperArjun Subramonian's papers of 2021

 Papers

The most cited first (OpenAlex and our library).

  1. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies (2021 · 228 citations)
    Most NLP research on gender bias assumes there are only two genders. This leaves non-binary people invisible and exposed to harm. Dev et al. study how that binary assumption plays out in English language technologies. They first describe how complex gender identity and its language are, including singular they…
  2. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings (2022 · 130 citations)
    This BigScience position paper asks how social bias should be evaluated in large language models that cover many languages.

 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 176 times (of the 141,840 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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