--- title: "Nathan Cooper · William & Mary — author profile and papers" description: "Nathan Cooper, William & Mary: 3 papers on Elamur Research (2024), h-index 12 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nathan-cooper/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nathan-cooper/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nathan Cooper # Nathan Cooper Nathan Cooper has 3 papers in our library, in 2024, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Ashish Datta](https://md.research.elamur.ai/free/en/authors/ashish-datta/), [Dakota Mahan](https://md.research.elamur.ai/free/en/authors/dakota-mahan/), [Duy Phung](https://md.research.elamur.ai/free/en/authors/duy-phung/). 3 papers in our library · 2024 [OpenAlex](https://openalex.org/A5027300975) · [ORCID](https://orcid.org/0000-0003-2498-705X) · [Wikidata](https://www.wikidata.org/wiki/Q130833073) · [**h-index 12**](https://openalex.org/authors/A5027300975) · [25 works](https://openalex.org/works?filter=author.id:A5027300975) · [812 citations](https://openalex.org/works?filter=author.id:A5027300975&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/nathan-cooper/#papers) · [🔗 Cited 376 times in our library](https://md.research.elamur.ai/free/en/authors/nathan-cooper/cited-by/) · [⭐ Paper Stars ranking: #4271](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4271) 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=Nathan+Cooper) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nathan+Cooper) · [dblp](https://dblp.org/search?q=Nathan+Cooper) · [ACL Anthology](https://aclanthology.org/search/?q=Nathan+Cooper) ## Affiliations [🎓**William & Mary** Williamsburg · United States 2020–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/universities/william-mary/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) 🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/nathan-cooper/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference](https://md.research.elamur.ai/free/en/papers/warner-2024-smarter-better-faster-longer-modern/)** *(2024 · 358 citations)* BERT-style encoders still power many retrieval, classification and RAG pipelines, yet most deployments rely on old models. 2. **[Stable LM 2 1.6B Technical Report](https://md.research.elamur.ai/free/en/papers/bellagente-2024-stable-lm-2-1-6b/)** *(2024 · 46 citations)* Many strong language models are released without their training data or full recipe, which makes independent replication nearly impossible. 3. **[Stable Code Technical Report](https://md.research.elamur.ai/free/en/papers/pinnaparaju-2024-stable-code-technical-report/)** *(2024 · 9 citations)* Code assistants such as autocomplete tools are called constantly, so a model compact enough to run locally on consumer hardware avoids network delays and dependence on gated APIs. ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Ashish Datta](https://md.research.elamur.ai/free/en/authors/ashish-datta/) ×2 - [Dakota Mahan](https://md.research.elamur.ai/free/en/authors/dakota-mahan/) ×2 - [Duy Phung](https://md.research.elamur.ai/free/en/authors/duy-phung/) ×2 - [James Baicoianu](https://md.research.elamur.ai/free/en/authors/james-baicoianu/) ×2 - [Jonathan Tow](https://md.research.elamur.ai/free/en/authors/jonathan-tow/) ×2 - [Maksym Zhuravinskyi](https://md.research.elamur.ai/free/en/authors/maksym-zhuravinskyi/) ×2 - [Marco Bellagente](https://md.research.elamur.ai/free/en/authors/marco-bellagente/) ×2 - [Reshinth Adithyan](https://md.research.elamur.ai/free/en/authors/reshinth-adithyan/) ×2 - [Antoine Chaffin](https://md.research.elamur.ai/free/en/authors/antoine-chaffin/) - [Carlos Riquelme](https://md.research.elamur.ai/free/en/authors/carlos-riquelme/) - [Faisal Ladhak](https://md.research.elamur.ai/free/en/authors/faisal-ladhak/) - [Nikhil Pinnaparaju](https://md.research.elamur.ai/free/en/authors/nikhil-pinnaparaju/) ## Cited by Papers of our library cite their works 376 times (of the 149,439 papers whose bibliographies we read); [81 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nathan-cooper/cited-by/). Updated 30 October 2026