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Brandon Norick

Brandon Norick has 2 papers in our library, in 2022–2025, most of them on Language models & pretraining, Text generation; often with Mostofa Patwary, Bryan Catanzaro, Dan Su.

2 papers in our library · 2022–2025

OpenAlex · h-index 12 · 27 works · 2,008 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,600 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3187

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

 Affiliations

🎓University of Illinois Urbana-ChampaignUrbana · United States2012–2018 · 10 papers🎓Montana State UniversityBozeman · United States2010–2011 · 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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHardware and Architecture · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksText generation · 1 work

 Works by year

2020s

20251 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model (2022 · 615 citations)
    The paper describes how Microsoft and NVIDIA trained Megatron-Turing NLG 530B (MT-NLG), a dense, left-to-right autoregressive transformer with 530 billion parameters.
  2. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset (2025 · 65 citations)
    Leading English web corpora built from Common Crawl, such as FineWeb-Edu and DCLM, raise benchmark scores by discarding roughly nine tenths of the crawl with model-based filters.

All works

3 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. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelarXiv:2201.11990Shaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 615 citations
  2. An Empirical Study of Mamba-based Language Models ↗arXiv:2406.07887 · no summary yetRoger Waleffe et al.2024 · 67 citations
  3. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations

 Co-authors here

12 of 13 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 1,600 times (of the 149,439 papers whose bibliographies we read); 283 citing papers with a page here →.

Updated

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