---
title: "Varun Kumar — author profile and papers — Elamur Research"
description: "Varun Kumar, Amazon: 2 papers on Elamur Research (2020–2022), h-index 11 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/varun-kumar/"
---
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# Varun Kumar

Varun Kumar has 2 papers in our library, in 2020–2022, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Aram Galstyan](https://md.research.elamur.ai/free/en/authors/aram-galstyan/), [Jwala Dhamala](https://md.research.elamur.ai/free/en/authors/jwala-dhamala/), [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/).

2 papers in our library · 2020–2022

[OpenAlex](https://openalex.org/A5100432990) · [ORCID](https://orcid.org/0009-0000-3961-8439) · [Wikidata](https://www.wikidata.org/wiki/Q130856317) · [**h-index 11**](https://openalex.org/authors/A5100432990) · [43 works](https://openalex.org/works?filter=author.id:A5100432990) · [435 citations](https://openalex.org/works?filter=author.id:A5100432990&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/varun-kumar/#papers) · [🔗 Cited 293 times in our library](https://md.research.elamur.ai/free/en/authors/varun-kumar/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3144](https://md.research.elamur.ai/free/en/paper-stars/page/32/#star-3144)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Varun+Kumar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Varun+Kumar) · [dblp](https://dblp.org/search?q=Varun+Kumar) · [ACL Anthology](https://aclanthology.org/search/?q=Varun+Kumar)

## Affiliations

[🏢**Amazon** Seattle · United States 2019–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Indian Institute of Information Technology Vadodara** Vadodara · India 2024–2025 · 4 papers](https://ror.org/0163rt176) · [🏢**Tata Consultancy Services** Pune · India 2014–2015 · 2 papers](https://md.research.elamur.ai/free/en/companies/tata-consultancy-services/)

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.

## Fields, topics and concepts

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

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 2 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2022** 1 paper Varun Kumar's papers of 2022](https://md.research.elamur.ai/free/en/papers/cao-2022-intrinsic-extrinsic-fairness-evaluation-metrics/) · [**2020** 1 paper Varun Kumar's papers of 2020](https://md.research.elamur.ai/free/en/papers/kumar-2020-data-augmentation-using-pre-trained/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Data Augmentation using Pre-trained Transformer Models](https://md.research.elamur.ai/free/en/papers/kumar-2020-data-augmentation-using-pre-trained/)** *(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](https://md.research.elamur.ai/free/en/papers/cao-2022-intrinsic-extrinsic-fairness-evaluation-metrics/)** *(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 Models arXiv:2003.02245**Varun Kumar, Ashutosh Choudhary, Eunah Cho*2020 · 470 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2020-data-augmentation-using-pre-trained/)
2. **[On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations](https://md.research.elamur.ai/free/en/papers/cao-2022-intrinsic-extrinsic-fairness-evaluation-metrics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, et al.*2022 · 100 citations*
3. **[Multi-lingual Evaluation of Code Generation Models ↗](https://arxiv.org/abs/2210.14868) arXiv:2210.14868 · no summary yet**Ben Athiwaratkun et al.*2022 · 86 citations*
4. **[SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion ↗](https://aclanthology.org/2026.acl-long.786/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**George Ma et al.*2026 · 1 citation*

## Co-authors here

6 co-authors with a page, the most papers together first.

- [Aram Galstyan](https://md.research.elamur.ai/free/en/authors/aram-galstyan/)
- [Jwala Dhamala](https://md.research.elamur.ai/free/en/authors/jwala-dhamala/)
- [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/)
- [Rahul Gupta](https://md.research.elamur.ai/free/en/authors/rahul-gupta/)
- [Yada Pruksachatkun](https://md.research.elamur.ai/free/en/authors/yada-pruksachatkun/)
- [Yang Trista Cao](https://md.research.elamur.ai/free/en/authors/yang-trista-cao/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/)

## 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 →](https://md.research.elamur.ai/free/en/authors/varun-kumar/cited-by/).

Updated 24 October 2026
