Spencer Papay
Spencer Papay has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks; often with Amelia Glaese, Hyung Won Chung, Jason Wei.
OpenAlex · h-index 2 · 3 works · 188 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 2,389 times in our library · ⭐ Paper Stars ranking: #5762
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- Measuring short-form factuality in large language models (2024 · 160 citations)
Large language models often state false facts with confidence, and factuality is hard to measure when answers are long and full of claims. - BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents (2025 · 114 citations)
Most earlier retrieval and question-answering benchmarks ask for facts a person could find quickly, so current language models have mostly maxed them out.
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