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Jupinder Parmar

Jupinder Parmar has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Mostofa Patwary, Ayush Dattagupta, Bryan Catanzaro.

2 papers in our library · 2024

OpenAlex · h-index 3 · 18 works · 40 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 341 times in our library · ⭐ Paper Stars ranking: #7413

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models (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 (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.

 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 →.

Updated

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