🧑‍🔬 Ian Magnusson

🏛️ Affiliations

🔬Allen Institute for Artificial IntelligenceSeattle · United States2022–2025 · 9 paperscurrent🎓University of WashingtonSeattle · United States2023–2025 · 7 paperscurrent🎓University of PennsylvaniaPhiladelphia · United States2025 · 1 papercurrent🎓Northeastern UniversityBoston · United States2021 · 4 papers🎓Carnegie Mellon UniversityPittsburgh · United States2024 · 2 papers🎓University of California, BerkeleyBerkeley · United States2024 · 2 papers🎓Yale UniversityNew Haven · United States2024 · 2 papers🏢Smart Information Flow TechnologiesMinneapolis · United States2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 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. What's In My Big Data? (2023 · 92 citations)
   Language models are trained on huge text collections whose contents are rarely documented. Creators usually describe how a corpus was assembled but not what it actually contains. This paper introduces WIMBD (What's In My Big Data?), an open-source toolkit for inspecting and comparing such corpora. It rests on two…
2. Paloma: A Benchmark for Evaluating Language Model Fit (2023 · 42 citations)
   Language models are usually scored by perplexity on one held-out corpus. Such a corpus quietly blends many kinds of text, so a single number cannot show how well a model handles each kind. Paloma (Perplexity Analysis for Language Model Assessment) instead measures fit across 546 fine-grained English and code domains…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. OLMo: Accelerating the Science of Language Models ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDirk Groeneveld et al.2024 · 429 citations
2. Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLuca Soldaini et al.2024 · 341 citations
3. What's In My Big Data?arXiv:2310.20707Yanai Elazar, Akshita Bhagia, Ian Magnusson, et al.2023 · 92 citations
4. Paloma: A Benchmark for Evaluating Language Model FitConference on Neural Information Processing Systems (NeurIPS)Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.2023 · 42 citations

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Akshita Bhagia ×2
• Dirk Groeneveld ×2
• Dustin Schwenk ×2
• Luca Soldaini ×2
• Yanai Elazar ×2
• Abhilasha Ravichander
• Alane Suhr
• Iz Beltagy
• Kyle Lo
• Noah A. Smith
• Oyvind Tafjord
• Sameer Singh

Venues

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

• Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023

🔗 Cited by

Papers of our library cite their works 909 times (of the 149,439 papers whose bibliographies we read); 183 citing papers with a page here →.

Updated 2 November 2026

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