---
title: "Nvidia — research, people and papers"
description: "Nvidia (Santa Clara, United States): 11 works on the Elamur Research site, 10 people with a page, 4,351 citations; its topics, units and the institutions…"
canonical: "https://research.elamur.ai/free/en/companies/nvidia/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/nvidia/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / Nvidia

# Nvidia

Company [Santa Clara](https://md.research.elamur.ai/free/en/agglomerations/san-francisco/), [United States](https://md.research.elamur.ai/free/en/countries/united-states/)in the agglomeration of [San Francisco Bay Area](https://md.research.elamur.ai/free/en/agglomerations/san-francisco/)

- [Website](https://www.nvidia.com/en-us/)
- [ROR](https://ror.org/03jdj4y14)
- [OpenAlex](https://openalex.org/I4210127875)

[**11** works in our library](https://md.research.elamur.ai/free/en/companies/nvidia/#works) · [**33** people with a page](https://md.research.elamur.ai/free/en/companies/nvidia/#authors) · [**4,351** citations of these works](https://md.research.elamur.ai/free/en/companies/nvidia/#works) · [**1,491** citations in our library](https://md.research.elamur.ai/free/en/companies/nvidia/#works)

## People (33)

Authors with a page here who worked or studied at Nvidia: first those whose cited work was done most here; beside each, their citations.

### Core (10)

Confirmed by their records, or by their bylines here with a fair part of their work.

- [Raul Puri](https://md.research.elamur.ai/free/en/authors/raul-puri/) — 2018–2020 on 8 papers · 3 papers here · 18,122 citations
- [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/) — current · 2013–2026 on 69 papers · employment (ORCID) · 7 papers here · 8,782 citations
- [Ryan Prenger](https://md.research.elamur.ai/free/en/authors/ryan-prenger/) — 2019–2020 on 3 papers · 2 papers here · 5,234 citations
- [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/) — current · 2019–2026 on 20 papers · 5 papers here · 2,924 citations
- [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/) — 2020–2026 on 6 papers · 4 papers here · 3,800 citations
- [Wasi Uddin Ahmad](https://md.research.elamur.ai/free/en/authors/wasi-uddin-ahmad/) — current · 2024–2026 on 3 papers · employment (ORCID) · 3 papers here · 2,274 citations
- [Dieter Fox](https://md.research.elamur.ai/free/en/authors/dieter-fox/) — current · 2018–2026 on 101 papers · 2 papers here · 1,696 citations
- [Mostofa Patwary](https://md.research.elamur.ai/free/en/authors/mostofa-patwary/) — current · 2020–2026 on 18 papers · 2 papers here · 1,710 citations
- [Shubham Toshniwal](https://md.research.elamur.ai/free/en/authors/shubham-toshniwal/) — 2024 on 4 papers · 3 papers here · 2,378 citations
- [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/) — current · 2016–2026 on 85 papers · 2 papers here · 949 citations

**Also published with this affiliation (23)**

Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work.

- [Pascale Fung](https://md.research.elamur.ai/free/en/authors/pascale-fung/) — 2020–2023 on 4 papers · 12 papers here · 14,426 citations
- [Yuke Zhu](https://md.research.elamur.ai/free/en/authors/yuke-zhu/) — current · 2020–2026 on 27 papers · 2 papers here · 7,408 citations
- [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) — 2023–2026 on 24 papers · 4 papers here · 5,278 citations
- [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/) — 2025 on 2 papers · 48 papers here · 27,882 citations
- [Tsung-Yi Lin](https://md.research.elamur.ai/free/en/authors/tsung-yi-lin/) — current · 2022–2025 on 11 papers · 3 papers here · 8,859 citations
- [Dan Su](https://md.research.elamur.ai/free/en/authors/dan-su/) — 2022–2025 on 3 papers · 2 papers here · 7,514 citations
- [Jared Casper](https://md.research.elamur.ai/free/en/authors/jared-casper/) — current · 2021–2026 on 5 papers · 5 papers here · 5,039 citations
- [Greg Diamos](https://md.research.elamur.ai/free/en/authors/greg-diamos/) — 2012–2014 on 8 papers · 3 papers here · 4,374 citations
- [Antonio Torralba](https://md.research.elamur.ai/free/en/authors/antonio-torralba/) — 2021–2024 on 2 papers · 2 papers here · 4,308 citations
- [Ximing Lu](https://md.research.elamur.ai/free/en/authors/ximing-lu/) — current · 2025 on 1 paper · 12 papers here · 2,904 citations
- [Leon Derczynski](https://md.research.elamur.ai/free/en/authors/leon-derczynski/) — current · 2023–2025 on 3 papers · 6 papers here · 2,650 citations
- [Shrimai Prabhumoye](https://md.research.elamur.ai/free/en/authors/shrimai-prabhumoye/) — current · 2022–2026 on 7 papers · 5 papers here · 2,579 citations
- [Xing Wang](https://md.research.elamur.ai/free/en/authors/xing-wang/) — 2007 on 2 papers · 4 papers here · 1,553 citations
- [Wei Ping](https://md.research.elamur.ai/free/en/authors/wei-ping/) — 2020–2021 on 4 papers · 3 papers here · 1,357 citations
- [Guo Chen](https://md.research.elamur.ai/free/en/authors/guo-chen/) — 2025–2026 on 2 papers · 2 papers here · 1,253 citations
- [Yuxian Gu](https://md.research.elamur.ai/free/en/authors/yuxian-gu/) — current · 2026 on 1 paper · 2 papers here · 1,104 citations
- [Vijay Korthikanti](https://md.research.elamur.ai/free/en/authors/vijay-korthikanti/) — current · 2021–2026 on 4 papers · 2 papers here · 1,032 citations
- [Prithviraj Ammanabrolu](https://md.research.elamur.ai/free/en/authors/prithviraj-ammanabrolu/) — 2025 on 2 papers · 4 papers here · 860 citations
- [Hyunwoo Kim](https://md.research.elamur.ai/free/en/authors/hyunwoo-kim/) — current · 2026 on 1 paper · 5 papers here · 736 citations
- [Lawrence McAfee](https://md.research.elamur.ai/free/en/authors/lawrence-mcafee/) — current · 2026 on 2 papers · 2 papers here · 500 citations
- [Hongxiao Bai](https://md.research.elamur.ai/free/en/authors/hongxiao-bai/) — current · 2026 on 1 paper · 2 papers here · 342 citations
- [Xiaolong Wang](https://md.research.elamur.ai/free/en/authors/xiaolong-wang/) — 2025 on 2 papers · 2 papers here · 215 citations
- [Xianchao Wu](https://md.research.elamur.ai/free/en/authors/xianchao-wu/) — 2020–2023 on 2 papers · 2 papers here · 176 citations

## Works in our library (11)

The most cited first (OpenAlex citations plus our library's).

- [BERTweet: A pre-trained language model for English Tweets](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/) — Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen · 2020 · 1,139 citations
- [ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks](https://md.research.elamur.ai/free/en/papers/shridhar-2019-alfred-benchmark-interpreting-grounded-instructions/) — Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox · 2019 · 724 citations
- [ProgPrompt: Generating Situated Robot Task Plans using Large Language Models](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/) — Ishika Singh, Valts Blukis, Arsalan Mousavian, et al. · 2022 · 710 citations
- [PhoBERT: Pre-trained language models for Vietnamese](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/) — Dat Quoc Nguyen, Anh Tuan Nguyen · 2020 · 571 citations
- [VILA: On Pre-training for Visual Language Models](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/) — Ji Lin, Hongxu Yin, Wei Ping, et al. · 2023 · 367 citations
- [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/) — Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al. · 2024 · 355 citations
- [FOLIO: Natural Language Reasoning with First-Order Logic](https://md.research.elamur.ai/free/en/papers/han-2022-folio-natural-language-reasoning-first/) — Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al. · 2022 · 217 citations
- [Training Question Answering Models From Synthetic Data](https://md.research.elamur.ai/free/en/papers/puri-2020-training-question-answering-models-synthetic/) — Raul Puri, Ryan Spring, Mohammad Shoeybi, et al. · 2020 · 206 citations
- [DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/chan-2023-discoprompt-path-prediction-prompt-tuning/) — Chunkit Chan, Xin Liu, Jiayang Cheng, et al. · 2023 · 45 citations
- [Major Entity Identification: A Generalizable Alternative to Coreference Resolution](https://md.research.elamur.ai/free/en/papers/manikantan-2024-major-entity-identification-generalizable-alternative/) — Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, et al. · 2024 · 13 citations
- [Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/grigoryan-2025-open-automatic-speech-recognition-models/) — Lilit Grigoryan, Nikolay Karpov, Enas Albasiri, et al. · 2025 · 4 citations

## Topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (3)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Fields

[Linguistics & languages (3)](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [Natural language processing (2)](https://md.research.elamur.ai/free/en/shelves/nlp/)

## Collaborates with

Institutions on the bylines of the same works here; the number is the works they share.

[Nvidia (United Kingdom) 8](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) [University of Washington 2](https://md.research.elamur.ai/free/en/universities/university-of-washington/) [The University of Melbourne 2](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) [Carnegie Mellon University 1](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) [Johns Hopkins University 1](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) [Allen Institute for Artificial Intelligence 1](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) [Harvard University 1](https://md.research.elamur.ai/free/en/universities/harvard-university/) [University of Southern California 1](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) [Hong Kong University of Science and Technology 1](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) [Hugging Face 1](https://md.research.elamur.ai/free/en/companies/hugging-face/) [Salesforce 1](https://md.research.elamur.ai/free/en/companies/salesforce/) [Yale University 1](https://md.research.elamur.ai/free/en/universities/yale-university/)

## Parent and units

**Units** [Nvidia (United Kingdom)](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) NVIDIA

From the Research Organization Registry (ROR); those with a page here are linked.

Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Nvidia; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.