Elamur Research⌕
☰
home / authors / Varun Kumar

Varun Kumar

Varun Kumar has 2 papers in our library, in 2020–2022, most of them on Evaluation & benchmarks, Bias, fairness & safety; often with Aram Galstyan, Jwala Dhamala, Kai-Wei Chang.

2 papers in our library · 2020–2022

OpenAlex · ORCID · Wikidata · h-index 11 · 43 works · 435 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 293 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3144

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 States2019–2026 · 17 paperscurrent🎓Indian Institute of Information Technology VadodaraVadodara · India2024–2025 · 4 papers🏢Tata Consultancy ServicesPune · India2014–2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20221 paperVarun Kumar's papers of 202220201 paperVarun Kumar's papers of 2020

 Papers

The most cited first (OpenAlex and our library).

  1. Data Augmentation using Pre-trained Transformer Models (2020 · 470 citations)
    Text classifiers trained on only a handful of examples tend to overfit. Older augmentation tricks, such as synonym swaps or unconditioned language-model word replacement, often produce sentences whose meaning no longer fits the original class. The authors propose one recipe that works with any pre-trained transformer:
  2. 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…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 470 citations
  2. On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, et al.2022 · 100 citations
  3. Multi-lingual Evaluation of Code Generation Models ↗arXiv:2210.14868 · no summary yetBen Athiwaratkun et al.2022 · 86 citations
  4. SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetGeorge Ma et al.2026 · 1 citation

 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 293 times (of the 141,840 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/varun-kumar/