--- title: "Cade Gordon — author profile and papers" description: "Cade Gordon, University of California, Berkeley: 2 papers on Elamur Research (2022), h-index 5 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/cade-gordon/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cade-gordon/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cade Gordon # Cade Gordon Cade Gordon's papers here sit in the area of [vision and language](https://md.research.elamur.ai/free/en/topics/multimodal/), specifically the large models that learn jointly from images and their accompanying text. The recurring concern is openness at scale. Training sets and models of this kind had mostly stayed inside a few industry labs, and the work asks what becomes possible when web-scale image-text data, training code and experiments are made public and reproducible. The most cited of these works is [LAION-5B](https://md.research.elamur.ai/free/en/papers/schuhmann-2022-laion-5b-open-large-scale/), from 2022. It assembled a publicly released collection of billions of image-text pairs by gathering pictures and their alt-text from Common Crawl and downloading them in a distributed fashion. It then kept only pairs that an existing CLIP model judged sufficiently similar. To show that the collection is usable, the authors trained OpenCLIP models on a subset of it. A companion paper, [Reproducible scaling laws for contrastive language-image learning](https://md.research.elamur.ai/free/en/papers/cherti-2022-reproducible-scaling-laws-contrastive-language/), built on that resource. It used the open OpenCLIP code and public LAION subsets to measure how CLIP performance changes as the vision encoder, the amount of data and the number of training samples grow. Both papers appeared in 2022, and the newer emphasis is on the second of these steps. Having an open dataset made it possible to study model behaviour systematically rather than only to release data, and the scaling study treats contrastive image-text pre-training as something any group can replicate and extend. Gordon is affiliated with the [University of California, Berkeley](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/). The work is collaborative and closely tied to the LAION and OpenCLIP efforts. Recurring co-authors include [Christoph Schuhmann](https://md.research.elamur.ai/free/en/authors/christoph-schuhmann/), [Mehdi Cherti](https://md.research.elamur.ai/free/en/authors/mehdi-cherti/), [Romain Beaumont](https://md.research.elamur.ai/free/en/authors/romain-beaumont/), [Ross Wightman](https://md.research.elamur.ai/free/en/authors/ross-wightman/) and [Mitchell Wortsman](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/). Further collaborators include Jenia Jitsev and Ludwig Schmidt. Cade Gordon has 2 papers in our library, in 2022, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Christoph Schuhmann](https://md.research.elamur.ai/free/en/authors/christoph-schuhmann/), [Mehdi Cherti](https://md.research.elamur.ai/free/en/authors/mehdi-cherti/), [Mitchell Wortsman](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/). 2 papers in our library · 2022 [OpenAlex](https://openalex.org/A5019618900) · [ORCID](https://orcid.org/0000-0002-9071-8571) · [**h-index 5**](https://openalex.org/authors/A5019618900) · [11 works](https://openalex.org/works?filter=author.id:A5019618900) · [2,166 citations](https://openalex.org/works?filter=author.id:A5019618900&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/cade-gordon/#papers) · [🔗 477 citations in our library](https://md.research.elamur.ai/free/en/authors/cade-gordon/cited-by/) · [⭐ Paper Star rank #1117](https://md.research.elamur.ai/free/en/paper-stars/page/12/#star-1117) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Cade+Gordon) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cade+Gordon) · [dblp](https://dblp.org/search?q=Cade+Gordon) · [ACL Anthology](https://aclanthology.org/search/?q=Cade+Gordon) ## Affiliations [🎓**University of California, Berkeley** Berkeley · United States 2023–2024 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/cade-gordon/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[LAION-5B: An open large-scale dataset for training next generation image-text models](https://md.research.elamur.ai/free/en/papers/schuhmann-2022-laion-5b-open-large-scale/)** *(2022 · 1,400 citations)* Recent image-text models such as CLIP, ALIGN, BASIC and Imagen are trained on hundreds of millions to billions of image-text pairs collected from the web. 2. **[Reproducible scaling laws for contrastive language-image learning](https://md.research.elamur.ai/free/en/papers/cherti-2022-reproducible-scaling-laws-contrastive-language/)** *(2022 · 750 citations)* Earlier scaling-law research mostly used closed data and models, or looked only at language or only at vision. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Christoph Schuhmann](https://md.research.elamur.ai/free/en/authors/christoph-schuhmann/) ×2 - [Mehdi Cherti](https://md.research.elamur.ai/free/en/authors/mehdi-cherti/) ×2 - [Mitchell Wortsman](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/) ×2 - [Romain Beaumont](https://md.research.elamur.ai/free/en/authors/romain-beaumont/) ×2 - [Ross Wightman](https://md.research.elamur.ai/free/en/authors/ross-wightman/) ×2 - [Aarush Katta](https://md.research.elamur.ai/free/en/authors/aarush-katta/) - [Clayton Mullis](https://md.research.elamur.ai/free/en/authors/clayton-mullis/) - [Gabriel Ilharco](https://md.research.elamur.ai/free/en/authors/gabriel-ilharco/) - [Jenia Jitsev](https://md.research.elamur.ai/free/en/authors/jenia-jitsev/) - [Ludwig Schmidt](https://md.research.elamur.ai/free/en/authors/ludwig-schmidt/) - [Richard Vencu](https://md.research.elamur.ai/free/en/authors/richard-vencu/) - [Theo Coombes](https://md.research.elamur.ai/free/en/authors/theo-coombes/) ## Cited by Papers of our library cite their works 477 times (of the 140,884 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/cade-gordon/cited-by/).