---
title: "Scott Gray — author profile and papers"
description: "Scott Gray: 3 papers on Elamur Research (2020–2021), h-index 12 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/scott-gray/"
---
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# Scott Gray

Scott Gray has 3 papers in our library, in 2020–2021, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Alec Radford](https://md.research.elamur.ai/free/en/authors/alec-radford/), [Jared Kaplan](https://md.research.elamur.ai/free/en/authors/jared-kaplan/), [Mark Chen](https://md.research.elamur.ai/free/en/authors/mark-chen/).

3 papers in our library · 2020–2021

[OpenAlex](https://openalex.org/A5026541761) · [**h-index 12**](https://openalex.org/authors/A5026541761) · [12 works](https://openalex.org/works?filter=author.id:A5026541761) · [9,802 citations](https://openalex.org/works?filter=author.id:A5026541761&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/scott-gray/#papers) · [🔗 4,412 citations in our library](https://md.research.elamur.ai/free/en/authors/scott-gray/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #765](https://md.research.elamur.ai/free/en/paper-stars/page/8/#star-765)

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=Scott+Gray) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Scott+Gray) · [dblp](https://dblp.org/search?q=Scott+Gray) · [ACL Anthology](https://aclanthology.org/search/?q=Scott+Gray)

## Affiliations

[🏢**OpenAI** San Francisco · United States 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/openai/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/ramesh-2021-zero-shot-text-image-generation/) · [**2020** 2 papers](https://md.research.elamur.ai/free/en/authors/scott-gray/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Scaling Laws for Neural Language Models](https://md.research.elamur.ai/free/en/papers/kaplan-2020-scaling-laws-neural-language-models/)** *(2020 · 1,814 citations)* The authors from OpenAI study how the quality of a language model depends on its scale. They measure quality by the cross-entropy loss on test data. To this end, they trained a large series of Transformer models on the WebText2 corpus, ranging from thousands to roughly a billion parameters, excluding embeddings. In…
2. **[Zero-Shot Text-to-Image Generation](https://md.research.elamur.ai/free/en/papers/ramesh-2021-zero-shot-text-image-generation/)** *(2021 · 1,423 citations)* The paper asks whether text-to-image synthesis can advance through scale rather than through specialized architectures, auxiliary losses or extra annotations such as segmentation masks.
3. **[Scaling Laws for Autoregressive Generative Modeling](https://md.research.elamur.ai/free/en/papers/henighan-2020-scaling-laws-autoregressive-generative-modeling/)** *(2020 · 115 citations)* The authors from OpenAI examine whether the scaling laws previously found for language models also hold for other data types.

## Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Alec Radford](https://md.research.elamur.ai/free/en/authors/alec-radford/) ×2
- [Jared Kaplan](https://md.research.elamur.ai/free/en/authors/jared-kaplan/) ×2
- [Mark Chen](https://md.research.elamur.ai/free/en/authors/mark-chen/) ×2
- [Tom B. Brown](https://md.research.elamur.ai/free/en/authors/tom-b-brown/) ×2
- [Tom Henighan](https://md.research.elamur.ai/free/en/authors/tom-henighan/) ×2
- [Aditya Ramesh](https://md.research.elamur.ai/free/en/authors/aditya-ramesh/)
- [Benjamin Mann](https://md.research.elamur.ai/free/en/authors/benjamin-mann/)
- [Chris Hallacy](https://md.research.elamur.ai/free/en/authors/chris-hallacy/)
- [Christopher Hesse](https://md.research.elamur.ai/free/en/authors/christopher-hesse/)
- [Dario Amodei](https://md.research.elamur.ai/free/en/authors/dario-amodei/)
- [Gabriel Goh](https://md.research.elamur.ai/free/en/authors/gabriel-goh/)
- [Heewoo Jun](https://md.research.elamur.ai/free/en/authors/heewoo-jun/)

## Cited by

Papers of our library cite their works 4,412 times (of the 140,884 papers whose bibliographies we read); [273 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/scott-gray/cited-by/).
