Elamur Research⌕
☰
home / authors / Ayush Dattagupta

Ayush Dattagupta

Ayush Dattagupta has 2 papers in our library, in 2024; often with Bryan Catanzaro, Chen Zhu, Dan Su.

2 papers in our library · 2024

OpenAlex · h-index 2 · 9 works · 11 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 234 times in our library · ⭐ Paper Stars ranking: #6346

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

 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. Nemotron-4 340B Technical Report (2024 · 107 citations)
    Nemotron-4 340B is NVIDIA's effort to give the community a very large, openly licensed model family that can also produce synthetic training data.
  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 234 times (of the 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ayush-dattagupta/