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Shaona Ghosh

Shaona Ghosh has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Bias, fairness & safety; often with Aishwarya Padmakumar, Bei Yu, Makesh Narsimhan Sreedhar.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 5 · 46 works · 121 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 328 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8954

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

🏢NvidiaSanta Clara · United States2024–2026 · 6 paperscurrent🏢NvidiaReading · United Kingdom2024–2026 · 5 paperscurrent🎓University of CambridgeCambridge · United Kingdom2026 · 1 papercurrent🎓University of SouthamptonSouthampton · United Kingdom2013–2015 · 5 papers🎓University of OxfordOxford · United Kingdom2016 · 2 papers
🏛️Apple IncCupertino · United States2018Employment since 2018 · Research Scientist
🏛️HP Labs BristolBristol · United Kingdom2010–2011Employment 2010–2011
🏢Samsung ElectronicsSeoul · South Korea2008–2010Employment 2008–2010

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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper20251 paper

 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 (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 (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 GuardrailsConference of the North American Chapter of the Association for Computational Linguistics (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 ↗TU/e Research Portal · no summary yetShaona Ghosh et al.2025 · 14 citations
  3. PROBE: PROcess-Based BEnchmark for Hallucination DetectionFindings of the Association for Computational LinguisticsYu Zhang, Peter Belcak, Shizhe Diao, et al.2026

 Co-authors here

9 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 328 times (of the 149,439 papers whose bibliographies we read); 83 citing papers with a page here →.

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