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.
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
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 workInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
💡 Concepts 2Key ideas and methods explained on our concept pages.Artificial intelligence · 1 workLarge language models · 1 work
Works by year
2020s
Papers
- 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… - 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
- Antoine Bosselut
- Drew A. Hudson
- Emma Brunskill
- Joel Becker
- Katharyn Garcia
- Michael S. Bernstein
- Rishi Bommasani
- Russ Biagio Altman
- Sami Jawhar
- Simran Arora
- Thomas Broadley
Venues
Cited by
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