---
title: "Nino Scherrer — author profile and papers — Elamur Research"
description: "Nino Scherrer: 2 papers on Elamur Research (2023), h-index 5 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/nino-scherrer/"
---
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# Nino Scherrer

Nino Scherrer has 2 papers in our library, in 2023, 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 [Amir Feder](https://md.research.elamur.ai/free/en/authors/amir-feder/), [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/), [Claudia Shi](https://md.research.elamur.ai/free/en/authors/claudia-shi/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5023054628) · [ORCID](https://orcid.org/0000-0001-5976-4257) · [**h-index 5**](https://openalex.org/authors/A5023054628) · [23 works](https://openalex.org/works?filter=author.id:A5023054628) · [90 citations](https://openalex.org/works?filter=author.id:A5023054628&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nino-scherrer/#papers) · [🔗 Cited 170 times in our library](https://md.research.elamur.ai/free/en/authors/nino-scherrer/cited-by/) · [⭐ Paper Stars ranking: #6802](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6802)

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

## Affiliations

[🎓**ETH Zurich** Zurich · Switzerland 2020–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🏢**Google** Mountain View · United States 2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/)

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 8 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](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/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/nino-scherrer/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Evaluating the Moral Beliefs Encoded in LLMs](https://md.research.elamur.ai/free/en/papers/scherrer-2023-evaluating-moral-beliefs-encoded-llms/)** *(2023 · 129 citations)* The paper examines which moral preferences large language models reveal when treated as survey respondents. It also addresses two practical obstacles: models emit token strings rather than discrete choices, and their answers shift with prompt wording.
2. **[SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models](https://md.research.elamur.ai/free/en/papers/vidgen-2023-simplesafetytests-test-suite-identifying-critical/)** *(2023 · 42 citations)* Large language models that lack proper safeguards can comply with clearly harmful requests, such as giving bomb-making guidance or encouraging self-harm.

## Co-authors here

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

- [Amir Feder](https://md.research.elamur.ai/free/en/authors/amir-feder/)
- [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/)
- [Claudia Shi](https://md.research.elamur.ai/free/en/authors/claudia-shi/)
- [David M. Blei](https://md.research.elamur.ai/free/en/authors/david-m-blei/)
- [Hannah Rose Kirk](https://md.research.elamur.ai/free/en/authors/hannah-rose-kirk/)
- [Paul Rottger](https://md.research.elamur.ai/free/en/authors/paul-rottger/)
- [Scott A. Hale](https://md.research.elamur.ai/free/en/authors/scott-a-hale/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

## Cited by

Papers of our library cite their works 170 times (of the 149,439 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nino-scherrer/cited-by/).

Updated 2 November 2026
