--- title: "Samuel Kriman — author profile and papers — Elamur Research" description: "Samuel Kriman: 2 papers on Elamur Research (2019–2024), h-index 7 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/samuel-kriman/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/samuel-kriman/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Samuel Kriman # Samuel Kriman Samuel Kriman has 2 papers in our library, in 2019–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/), [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/), [Fei Jia](https://md.research.elamur.ai/free/en/authors/fei-jia/). 2 papers in our library · 2019–2024 [OpenAlex](https://openalex.org/A5039963047) · [**h-index 7**](https://openalex.org/authors/A5039963047) · [20 works](https://openalex.org/works?filter=author.id:A5039963047) · [600 citations](https://openalex.org/works?filter=author.id:A5039963047&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/samuel-kriman/#papers) · [🔗 Cited 564 times in our library](https://md.research.elamur.ai/free/en/authors/samuel-kriman/cited-by/) · [⭐ Paper Stars ranking: #3660](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3660) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Samuel+Kriman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Samuel+Kriman) · [dblp](https://dblp.org/search?q=Samuel+Kriman) · [ACL Anthology](https://aclanthology.org/search/?q=Samuel+Kriman) ## Affiliations [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2019–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🏢**Nvidia** Santa Clara · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/nvidia/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/samuel-kriman/year/2024/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/samuel-kriman/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[RULER: What's the Real Context Size of Your Long-Context Language Models?](https://md.research.elamur.ai/free/en/papers/hsieh-2024-ruler-s-real-context-size/)** *(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](https://md.research.elamur.ai/free/en/papers/kuchaiev-2019-nemo-toolkit-building-ai-applications/)** *(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. - [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/) ×2 - [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/) - [Fei Jia](https://md.research.elamur.ai/free/en/authors/fei-jia/) - [Huyen Nguyen](https://md.research.elamur.ai/free/en/authors/huyen-nguyen/) - [Oleksii Hrinchuk](https://md.research.elamur.ai/free/en/authors/oleksii-hrinchuk/) - [Oleksii Kuchaiev](https://md.research.elamur.ai/free/en/authors/oleksii-kuchaiev/) - [Simeng Sun](https://md.research.elamur.ai/free/en/authors/simeng-sun/) - [Vitaly Lavrukhin](https://md.research.elamur.ai/free/en/authors/vitaly-lavrukhin/) - [Yang Zhang](https://md.research.elamur.ai/free/en/authors/yang-zhang/) ## 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 →](https://md.research.elamur.ai/free/en/authors/samuel-kriman/cited-by/). Updated 2 November 2026