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Diba Mirza

Diba Mirza has 2 papers in our library, in 2019–2020, most of them on Text generation, Bias, fairness & safety, English; often with William Yang Wang, Elizabeth Belding, Jieyu Zhao.

2 papers in our library · 2019–2020

OpenAlex · ORCID · Wikidata · h-index 15 · 39 works · 1,358 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 291 times in our library · ⭐ Paper Stars ranking: #2515

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, Santa BarbaraSanta Barbara · United States2019–2026 · 17 papersEmploymentcurrent🎓University of California San DiegoSan Diego · United States2006–2024 · 19 papersEducation🎓University of California, Los AngelesLos Angeles · United States2019–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workGender Studies · 1 workSafety Research · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workEnglish · 1 workText generation · 1 work

 Works by year

2020s

20201 paperDiba Mirza's papers of 2020

2010s

20191 paperDiba Mirza'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. Investigating African-American Vernacular English in Transformer-Based Text Generation (2020 · 97 citations)
    The paper asks whether GPT-2 handles African-American Vernacular English (AAVE) as well as Standard American English (SAE).

 Co-authors here

6 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 291 times (of the 141,840 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

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