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Tony Sun

Tony Sun has 2 papers in our library, in 2019–2021, most of them on Bias, fairness & safety, English; often with William Yang Wang, Diba Mirza, Elizabeth Belding.

2 papers in our library · 2019–2021

OpenAlex · ORCID · h-index 21 · 59 works · 2,537 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 285 times in our library · ⭐ Paper Stars ranking: #2567

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

🎓Columbia UniversityNew York · United States2020–2025 · 7 paperscurrent🏥Columbia University Irving Medical CenterNew York · United States2024–2025 · 2 paperscurrent🎓University of California, Los AngelesLos Angeles · United States2005–2020 · 17 papers🎓Rockefeller UniversityNew York · United States2017–2025 · 5 papers🎓Washington University in St. LouisSt Louis · United States2013–2017 · 4 papers🎓University of California, Santa BarbaraSanta Barbara · United States2019–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksSocial Sciences · 2 worksArtificial Intelligence · 2 worksGender Studies · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workEnglish · 1 work

 Works by year

2020s

20211 paperTony Sun's papers of 2021

2010s

20191 paperTony Sun's papers of 2019

 Papers

The most cited first (OpenAlex and our library).

  1. Mitigating Gender Bias in Natural Language Processing: Literature Review (2019 · 718 citations)
    This survey examines how NLP systems absorb gender bias from their training text, embeddings and algorithms, and how they sometimes magnify it.
  2. They, Them, Theirs: Rewriting with Gender-Neutral English (2021 · 71 citations)
    The paper presents rewriting as a way to support gender-inclusive language. It converts English sentences that refer to one person with gendered pronouns or gendered nouns into versions that use the singular they. Simple find-and-replace is not enough for two reasons. Some pronouns map to more than one form (her can…

 Co-authors here

8 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 285 times (of the 141,840 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated

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