---
title: "Shaona Ghosh — author profile and papers — Elamur Research"
description: "Shaona Ghosh, Nvidia: 2 papers on Elamur Research (2025–2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/shaona-ghosh/"
---
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# Shaona Ghosh

Shaona Ghosh has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [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 [Aishwarya Padmakumar](https://md.research.elamur.ai/free/en/authors/aishwarya-padmakumar/), [Bei Yu](https://md.research.elamur.ai/free/en/authors/bei-yu/), [Makesh Narsimhan Sreedhar](https://md.research.elamur.ai/free/en/authors/makesh-narsimhan-sreedhar/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5027156022) · [ORCID](https://orcid.org/0000-0003-4658-5174) · [**h-index 5**](https://openalex.org/authors/A5027156022) · [46 works](https://openalex.org/works?filter=author.id:A5027156022) · [121 citations](https://openalex.org/works?filter=author.id:A5027156022&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shaona-ghosh/#papers) · [🔗 Cited 328 times in our library](https://md.research.elamur.ai/free/en/authors/shaona-ghosh/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8954](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8954)

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

## Affiliations

[🏢**Nvidia** Santa Clara · United States 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**University of Southampton** Southampton · United Kingdom 2013–2015 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-southampton/) · [🎓**University of Oxford** Oxford · United Kingdom 2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-oxford/)

🏛️**Apple Inc** Cupertino · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2018Employment since 2018 · Research Scientist

🏛️**HP Labs Bristol** Bristol · [United Kingdom](https://md.research.elamur.ai/free/en/countries/united-kingdom/) 2010–2011Employment 2010–2011

[🏢**Samsung Electronics** Seoul · South Korea 2008–2010Employment 2008–2010](https://md.research.elamur.ai/free/en/companies/samsung-electronics/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 7 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails](https://md.research.elamur.ai/free/en/papers/ghosh-2025-aegis2-0-diverse-ai-safety/)** *(2025 · 53 citations)* Content moderation for LLMs needs openly licensed, human-labeled training data that covers many kinds of harm.
2. **[PROBE: PROcess-Based BEnchmark for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/zhang-2026-probe-process-based-benchmark-hallucination/)** *(2026)* LLM-as-a-judge setups usually ask a model for a single verdict on whether an output stays faithful to its source.

## All works

3 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. **[AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails](https://md.research.elamur.ai/free/en/papers/ghosh-2025-aegis2-0-diverse-ai-safety/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, et al.*2025 · 53 citations*
2. **[AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons ↗](https://arxiv.org/abs/2503.05731) TU/e Research Portal · no summary yet**Shaona Ghosh et al.*2025 · 14 citations*
3. **[PROBE: PROcess-Based BEnchmark for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/zhang-2026-probe-process-based-benchmark-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yu Zhang, Peter Belcak, Shizhe Diao, et al.*2026*

## Co-authors here

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

- [Aishwarya Padmakumar](https://md.research.elamur.ai/free/en/authors/aishwarya-padmakumar/)
- [Bei Yu](https://md.research.elamur.ai/free/en/authors/bei-yu/)
- [Makesh Narsimhan Sreedhar](https://md.research.elamur.ai/free/en/authors/makesh-narsimhan-sreedhar/)
- [Pavlo Molchanov](https://md.research.elamur.ai/free/en/authors/pavlo-molchanov/)
- [Peter Belcak](https://md.research.elamur.ai/free/en/authors/peter-belcak/)
- [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/)
- [Traian Rebedea](https://md.research.elamur.ai/free/en/authors/traian-rebedea/)
- [Yonggan Fu](https://md.research.elamur.ai/free/en/authors/yonggan-fu/)
- [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- TU/e Research Portal

## Cited by

Papers of our library cite their works 328 times (of the 149,439 papers whose bibliographies we read); [83 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shaona-ghosh/cited-by/).

Updated 2 November 2026
