---
title: "Pushkar Mishra · Google DeepMind — author profile and papers"
description: "Pushkar Mishra, Google DeepMind: 3 papers on Elamur Research (2021–2026), h-index 11 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/pushkar-mishra/"
---
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# Pushkar Mishra

Pushkar Mishra has 3 papers in our library, in 2021–2026, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Ekaterina Shutova](https://md.research.elamur.ai/free/en/authors/ekaterina-shutova/), [Helen Yannakoudakis](https://md.research.elamur.ai/free/en/authors/helen-yannakoudakis/), [Michael Henry Tessler](https://md.research.elamur.ai/free/en/authors/michael-henry-tessler/).

3 papers in our library · 2021–2026

[OpenAlex](https://openalex.org/A5002745343) · [ORCID](https://orcid.org/0000-0002-1653-6198) · [**h-index 11**](https://openalex.org/authors/A5002745343) · [26 works](https://openalex.org/works?filter=author.id:A5002745343) · [399 citations](https://openalex.org/works?filter=author.id:A5002745343&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/pushkar-mishra/#papers) · [🔗 Cited 31 times in our library](https://md.research.elamur.ai/free/en/authors/pushkar-mishra/cited-by/) · [⭐ Paper Stars ranking: #7473](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7473)

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=Pushkar+Mishra) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pushkar+Mishra) · [dblp](https://dblp.org/search?q=Pushkar+Mishra) · [ACL Anthology](https://aclanthology.org/search/?q=Pushkar+Mishra)

## Affiliations

[🎓**University of Amsterdam** Amsterdam · Netherlands 2019–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) · [🏢**Google DeepMind** London · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Meta** London · United Kingdom 2019–2025 · 14 papers](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/) · [🏢**Meta** Menlo Park · United States 2019–2024 · 8 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2018–2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Communication · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 1 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/pushkar-mishra/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/pushkar-mishra/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/pushkar-mishra/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Ruddit: Norms of Offensiveness for English Reddit Comments](https://md.research.elamur.ai/free/en/papers/hada-2021-ruddit-norms-offensiveness-english-reddit/)** *(2021 · 48 citations)* Most offensive-language datasets put each comment into a category such as hateful, abusive or normal. These categories overlap, their boundaries are fuzzy, and annotators become desensitized after reading many harsh texts. Hada et al. instead treat offensiveness as a continuous scale. They built Ruddit, 6000 English…
2. **[Value Profiles for Encoding Human Variation](https://md.research.elamur.ai/free/en/papers/sorensen-2025-value-profiles-encoding-human-variation/)** *(2025 · 15 citations)* Annotators often disagree on subjective rating tasks such as toxicity, hate speech or chat preferences. This disagreement is usually discarded as noise. The authors instead model each rater individually and ask how a person is best represented. They propose value profiles: short free-text descriptions of a rater's…
3. **[Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models](https://md.research.elamur.ai/free/en/papers/verhoeven-2026-yesterday-s-news-benchmarking-multi/)** *(2026)* Misinformation detectors are usually trained on dated, narrowly focused datasets. In deployment, however, they meet content whose events, publishers and topics have shifted, and current models handle such out-of-distribution (OoD) data poorly. The authors present misinfo-general, a benchmark that estimates robustness…

## Co-authors here

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

- [Ekaterina Shutova](https://md.research.elamur.ai/free/en/authors/ekaterina-shutova/) ×2
- [Helen Yannakoudakis](https://md.research.elamur.ai/free/en/authors/helen-yannakoudakis/)
- [Michael Henry Tessler](https://md.research.elamur.ai/free/en/authors/michael-henry-tessler/)
- [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/)
- [Rishav Hada](https://md.research.elamur.ai/free/en/authors/rishav-hada/)
- [Roma Patel](https://md.research.elamur.ai/free/en/authors/roma-patel/)
- [Saif Mohammad](https://md.research.elamur.ai/free/en/authors/saif-mohammad/)
- [Taylor Sorensen](https://md.research.elamur.ai/free/en/authors/taylor-sorensen/)
- [Verena Rieser](https://md.research.elamur.ai/free/en/authors/verena-rieser/)

## 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/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/)
- [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/cl/2026/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 31 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pushkar-mishra/cited-by/).

Updated 1 November 2026
