Elamur Research⌕
☰
home / authors / Piotr Padlewski

Piotr Padlewski

Piotr Padlewski has 2 papers in our library, in 2022–2024, most of them on Vision & language, Language models & pretraining, Multilingual & cross-lingual NLP; often with Aitor Ormazabal, Alexander Kolesnikov, Basil Mustafa.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 8 · 12 works · 503 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 633 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #4418

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

🏢GoogleMountain View · United States2022–2024 · 4 papers

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 2 worksMultilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PaLI: A Jointly-Scaled Multilingual Language-Image Model (2022 · 371 citations)
    PaLI (Pathways Language and Image model), from Google Research, explores how to scale vision-language models so that one network can handle many image, text and multimodal tasks across many languages.
  2. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models (2024 · 19 citations)
    Static multimodal benchmarks are quickly saturated by frontier models, and public arenas such as LMSys and WildVision make it hard to control prompt quality and difficulty.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. PaLI: A Jointly-Scaled Multilingual Language-Image ModelarXiv:2209.06794Xi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 371 citations
  2. Scaling Vision Transformers to 22 Billion Parameters ↗arXiv:2302.05442 · no summary yetMostafa Dehghani et al.2023 · 217 citations
  3. PaLI-X: On Scaling up a Multilingual Vision and Language Model ↗arXiv (Cornell University) · no summary yetChen, Xi et al.2023 · 110 citations
  4. On Scaling Up a Multilingual Vision and Language Model ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXi Chen et al.2024 · 59 citations
  5. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 633 times (of the 149,439 papers whose bibliographies we read); 130 citing papers with a page here →.

Updated

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