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Samuel Kriman

Samuel Kriman has 2 papers in our library, in 2019–2024, most of them on Language models & pretraining; often with Boris Ginsburg, Cheng-Ping Hsieh, Fei Jia.

2 papers in our library · 2019–2024

OpenAlex · h-index 7 · 20 works · 600 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 564 times in our library · ⭐ Paper Stars ranking: #3660

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 States2019–2021 · 4 papers🏢NvidiaSanta Clara · United States2023 · 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 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20241 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RULER: What's the Real Context Size of Your Long-Context Language Models? (2024 · 400 citations)
    Long-context language models are usually checked with the needle-in-a-haystack (NIAH) test. That test only shows whether a model can find one planted fact, so it says little about deeper use of long inputs. The NVIDIA authors built RULER, a fully synthetic benchmark whose input length and difficulty can be set…
  2. NeMo: a toolkit for building AI applications using Neural Modules (2019 · 244 citations)
    Deep learning code is usually built around raw tensors whose axes have no declared meaning. Architecture, training logic and infrastructure also tend to end up tangled in one script, so combining components from different authors is fragile and requires debugging. The authors present NeMo, an open-source Python…

 Co-authors here

9 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 564 times (of the 149,439 papers whose bibliographies we read); 122 citing papers with a page here →.

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