--- title: "Jupinder Parmar — author profile and papers in our library" description: "Jupinder Parmar: 2 papers on Elamur Research (2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jupinder-parmar/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jupinder-parmar/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jupinder Parmar # Jupinder Parmar Jupinder Parmar has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Mostofa Patwary](https://md.research.elamur.ai/free/en/authors/mostofa-patwary/), [Ayush Dattagupta](https://md.research.elamur.ai/free/en/authors/ayush-dattagupta/), [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5111253969) · [**h-index 3**](https://openalex.org/authors/A5111253969) · [18 works](https://openalex.org/works?filter=author.id:A5111253969) · [40 citations](https://openalex.org/works?filter=author.id:A5111253969&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jupinder-parmar/#papers) · [🔗 Cited 341 times in our library](https://md.research.elamur.ai/free/en/authors/jupinder-parmar/cited-by/) · [⭐ Paper Stars ranking: #7413](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7413) 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=Jupinder+Parmar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jupinder+Parmar) · [dblp](https://dblp.org/search?q=Jupinder+Parmar) · [ACL Anthology](https://aclanthology.org/search/?q=Jupinder+Parmar) ## Affiliations [🎓**Stanford University** Stanford · United States 2020–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) 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** 2 papers](https://md.research.elamur.ai/free/en/authors/jupinder-parmar/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models](https://md.research.elamur.ai/free/en/papers/parmar-2024-reuse-don-t-retrain-recipe/)** *(2024 · 36 citations)* Pretraining large language models from scratch now costs so much that few teams can repeat it each time a stronger competitor appears. 2. **[Nemotron-4 15B Technical Report](https://md.research.elamur.ai/free/en/papers/parmar-2024-nemotron-4-15b-technical-report/)** *(2024 · 30 citations)* NVIDIA set out to build the strongest general-purpose LLM that fits on a single A100 or H100 GPU. Following the Chinchilla-inspired idea of spending compute on more data rather than more parameters, the authors trained a 15B-parameter decoder-only Transformer on 8 trillion tokens. The mix was about 70% English, 15%… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Mostofa Patwary](https://md.research.elamur.ai/free/en/authors/mostofa-patwary/) ×2 - [Ayush Dattagupta](https://md.research.elamur.ai/free/en/authors/ayush-dattagupta/) - [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/) - [Chen Zhu](https://md.research.elamur.ai/free/en/authors/chen-zhu/) - [Dan Su](https://md.research.elamur.ai/free/en/authors/dan-su/) - [Joseph Jennings](https://md.research.elamur.ai/free/en/authors/joseph-jennings/) - [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/) - [Sandeep Subramanian](https://md.research.elamur.ai/free/en/authors/sandeep-subramanian/) - [Shrimai Prabhumoye](https://md.research.elamur.ai/free/en/authors/shrimai-prabhumoye/) ## Cited by Papers of our library cite their works 341 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jupinder-parmar/cited-by/). Updated 30 October 2026