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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; often with Antoine Bosselut, Drew A. Hudson, Emma Brunskill.

2 papers in our library · 2021–2025

OpenAlex · h-index 3 · 6 works · 2,229 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 991 times in our library · ⭐ Paper Stars ranking: #1102

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

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. On the Opportunities and Risks of 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 (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.

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 991 times (of the 149,439 papers whose bibliographies we read); 238 citing papers with a page here →.

Updated

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