---
title: "Sydney von Arx — author profile and papers — Elamur Research"
description: "Sydney von Arx: 2 papers on Elamur Research (2021–2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sydney-von-arx/"
---
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# Sydney von Arx

Sydney von Arx has 2 papers in our library, in 2021–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/), [Drew A. Hudson](https://md.research.elamur.ai/free/en/authors/drew-a-hudson/), [Emma Brunskill](https://md.research.elamur.ai/free/en/authors/emma-brunskill/).

2 papers in our library · 2021–2025

[OpenAlex](https://openalex.org/A5009828979) · [**h-index 3**](https://openalex.org/authors/A5009828979) · [6 works](https://openalex.org/works?filter=author.id:A5009828979) · [2,229 citations](https://openalex.org/works?filter=author.id:A5009828979&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sydney-von-arx/#papers) · [🔗 Cited 991 times in our library](https://md.research.elamur.ai/free/en/authors/sydney-von-arx/cited-by/) · [⭐ Paper Stars ranking: #1102](https://md.research.elamur.ai/free/en/paper-stars/page/12/#star-1102)

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

## 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/) · [Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/sydney-von-arx/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/sydney-von-arx/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[On the Opportunities and Risks of Foundation Models](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)** *(2021 · 3,160 citations)* This Stanford CRFM report surveys a new way of building AI. Large models are pretrained on broad data, usually through self-supervision at scale, and then adapted to many downstream tasks. The authors name these "foundation models" (examples: BERT, GPT-3, CLIP, DALL-E). The report does not propose a dataset or…
2. **[Measuring AI Ability to Complete Long Software Tasks](https://md.research.elamur.ai/free/en/papers/kwa-2025-measuring-ai-ability-complete/)** *(2025 · 36 citations)* Benchmark scores are hard to interpret in human terms, they saturate quickly, and they cannot be compared across models of very different strength.

## Co-authors here

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

- [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/)
- [Drew A. Hudson](https://md.research.elamur.ai/free/en/authors/drew-a-hudson/)
- [Emma Brunskill](https://md.research.elamur.ai/free/en/authors/emma-brunskill/)
- [Joel Becker](https://md.research.elamur.ai/free/en/authors/joel-becker/)
- [Katharyn Garcia](https://md.research.elamur.ai/free/en/authors/katharyn-garcia/)
- [Michael S. Bernstein](https://md.research.elamur.ai/free/en/authors/michael-s-bernstein/)
- [Rishi Bommasani](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/)
- [Russ Biagio Altman](https://md.research.elamur.ai/free/en/authors/russ-biagio-altman/)
- [Sami Jawhar](https://md.research.elamur.ai/free/en/authors/sami-jawhar/)
- [Simran Arora](https://md.research.elamur.ai/free/en/authors/simran-arora/)
- [Thomas Broadley](https://md.research.elamur.ai/free/en/authors/thomas-broadley/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

## Cited by

Papers of our library cite their works 991 times (of the 149,439 papers whose bibliographies we read); [238 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sydney-von-arx/cited-by/).

Updated 3 November 2026
