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Jwala Dhamala

Jwala Dhamala has 2 papers in our library, in 2022–2023, most of them on Evaluation & benchmarks, Bias, fairness & safety, English; often with Rahul Gupta, Aram Galstyan, Caleb Ziems.

2 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 13 · 54 works · 614 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 113 times in our library · ⭐ Paper Stars ranking: #4780

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

🏢AmazonSeattle · United States2020–2026 · 14 paperscurrent🎓University of California, Los AngelesLos Angeles · United States2021–2026 · 2 paperscurrent🎓The University of Texas at AustinAustin · United States2026 · 1 papercurrent🎓Rochester Institute of TechnologyRochester · United States2014–2021 · 13 papersEducation since 2014🎓University of Southern CaliforniaLos Angeles · United States2024 · 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.

 Concepts, shelves and topics

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.English · 1 workBias, fairness & safety · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20231 paperMulti-VALUE: A Framework for Cross-Dialectal English NLP20221 paperOn the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations

 Papers

The most cited first (OpenAlex and our library).

  1. On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations (2022 · 100 citations)
    Fairness in NLP is measured in two ways. Intrinsic metrics probe a pre-trained language model directly. Extrinsic metrics look at group disparities in the outputs of a downstream system. People often assume a model that looks fair intrinsically will also behave fairly downstream, but this had not been checked broadly…
  2. Multi-VALUE: A Framework for Cross-Dialectal English NLP (2023 · 73 citations)
    Multi-VALUE is a rule-based translator from Standard American English into 50 English dialects, built on the eWAVE catalogue of 235 features.

 Co-authors here

10 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 113 times (of the 141,840 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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