---
title: "Nvidia (United Kingdom) — research, people and papers"
description: "Nvidia (United Kingdom) (Reading, United Kingdom): 8 works on the Elamur Research site, 8 people with a page, 4,096 citations; its topics, units and the…"
canonical: "https://research.elamur.ai/free/en/companies/nvidia-united-kingdom/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/nvidia-united-kingdom/)

[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 (United Kingdom)

# Nvidia (United Kingdom)

Company [Reading](https://md.research.elamur.ai/free/en/agglomerations/reading/), United Kingdomin the agglomeration of [Reading](https://md.research.elamur.ai/free/en/agglomerations/reading/)

- [Website](http://www.nvidia.co.uk/page/home.html)
- [ROR](https://ror.org/02kr42612)
- [OpenAlex](https://openalex.org/I1304085615)

[**8** works in our library](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/#works) · [**27** people with a page](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/#authors) · [**4,096** citations of these works](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/#works) · [**1,379** citations in our library](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/#works)

## People (27)

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

### Core (8)

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 5 papers · 3 papers here · 18,122 citations
- [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/) — current · 2019–2026 on 15 papers · 5 papers here · 2,924 citations
- [Wei Ping](https://md.research.elamur.ai/free/en/authors/wei-ping/) — 2020–2021 on 6 papers · 3 papers here · 1,357 citations
- [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/) — 2020–2026 on 6 papers · 4 papers here · 3,800 citations
- [Dieter Fox](https://md.research.elamur.ai/free/en/authors/dieter-fox/) — current · 2019–2026 on 50 papers · 2 papers here · 1,696 citations
- [Shubham Toshniwal](https://md.research.elamur.ai/free/en/authors/shubham-toshniwal/) — 2024 on 4 papers · 3 papers here · 2,378 citations
- [Mostofa Patwary](https://md.research.elamur.ai/free/en/authors/mostofa-patwary/) — current · 2020–2026 on 15 papers · 2 papers here · 1,710 citations
- [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/) — current · 2016–2026 on 28 papers · 2 papers here · 949 citations

**Also published with this affiliation (19)**

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

- [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/) — current · 2017–2026 on 47 papers · 7 papers here · 8,782 citations
- [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/) — 2021–2026 on 14 papers · 2 papers here · 7,408 citations
- [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) — 2024–2026 on 16 papers · 4 papers here · 5,278 citations
- [Tsung-Yi Lin](https://md.research.elamur.ai/free/en/authors/tsung-yi-lin/) — current · 2022–2025 on 7 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 3 papers · 3 papers here · 4,374 citations
- [Antonio Torralba](https://md.research.elamur.ai/free/en/authors/antonio-torralba/) — 2021 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
- [Shrimai Prabhumoye](https://md.research.elamur.ai/free/en/authors/shrimai-prabhumoye/) — current · 2022–2026 on 7 papers · 5 papers here · 2,579 citations
- [Wasi Uddin Ahmad](https://md.research.elamur.ai/free/en/authors/wasi-uddin-ahmad/) — 2024–2025 on 2 papers · 3 papers here · 2,274 citations
- [Guo Chen](https://md.research.elamur.ai/free/en/authors/guo-chen/) — 2025–2026 on 2 papers · 2 papers here · 1,253 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
- [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 3 papers · 2 papers here · 176 citations

## Works in our library (8)

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
- [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

## Topics

What its works here are about; the number is its works on the topic.

[Language models & pretraining 3](https://md.research.elamur.ai/free/en/topics/language-models/) · [Coreference resolution 1](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning 1](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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](https://md.research.elamur.ai/free/en/shelves/linguistics/) (1) · [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) (1)

## Collaborates with

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

[University of Washington 2](https://md.research.elamur.ai/free/en/universities/university-of-washington/) [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/) [The University of Melbourne 2](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) [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/) [University of Hong Kong 1](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) [Nvidia 8](https://md.research.elamur.ai/free/en/companies/nvidia/)

## Parent and units

**Part of** [Nvidia](https://md.research.elamur.ai/free/en/companies/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 (United Kingdom); employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.