---
title: "Joel Hestness — author profile and papers"
description: "Joel Hestness, Cerebras Systems: 2 papers on Elamur Research (2017–2024), h-index 13 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/joel-hestness/"
---
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# Joel Hestness

Joel Hestness has 2 papers in our library, in 2017–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Biswajit Mishra](https://md.research.elamur.ai/free/en/authors/biswajit-mishra/), [Bokang Jia](https://md.research.elamur.ai/free/en/authors/bokang-jia/), [Greg Diamos](https://md.research.elamur.ai/free/en/authors/greg-diamos/).

2 papers in our library · 2017–2024

[OpenAlex](https://openalex.org/A5089825123) · [ORCID](https://orcid.org/0000-0001-6920-0906) · [**h-index 13**](https://openalex.org/authors/A5089825123) · [69 works](https://openalex.org/works?filter=author.id:A5089825123) · [6,522 citations](https://openalex.org/works?filter=author.id:A5089825123&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/joel-hestness/#papers) · [🔗 200 citations in our library](https://md.research.elamur.ai/free/en/authors/joel-hestness/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #2944](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2944)

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

## Affiliations

[🏢**Cerebras Systems** Sunnyvale 2019–2026 · 12 papers*current*](https://ror.org/040zz8080) · [🏢**Baidu** Beijing · China 2017–2019 · 6 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**The University of Texas at Austin** Austin · United States 2010–2012 · 6 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**University of Wisconsin–Madison** Madison · United States 2014–2015 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/)

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/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/gosal-2024-bilingual-adaptation-monolingual-foundation-models/)

### 2010s

[**2017** 1 paper](https://md.research.elamur.ai/free/en/papers/hestness-2017-deep-learning-scaling-predictable-empirically/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Deep Learning Scaling is Predictable, Empirically](https://md.research.elamur.ai/free/en/papers/hestness-2017-deep-learning-scaling-predictable-empirically/)** *(2017 · 497 citations)* Practitioners widely assume that more data and bigger models improve accuracy, but there was no reliable way to forecast how much gain a given increase in training data would bring.
2. **[Bilingual Adaptation of Monolingual Foundation Models](https://md.research.elamur.ai/free/en/papers/gosal-2024-bilingual-adaptation-monolingual-foundation-models/)** *(2024 · 7 citations)* English-dominant open LLMs such as Llama 2 handle other languages poorly. Training a bilingual model from scratch is costly and tends to give weaker English. Adapting an existing model brings its own problems: it can forget English, and its English-centric tokenizer splits foreign text into many pieces. The authors…

## Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

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

- [Biswajit Mishra](https://md.research.elamur.ai/free/en/authors/biswajit-mishra/)
- [Bokang Jia](https://md.research.elamur.ai/free/en/authors/bokang-jia/)
- [Greg Diamos](https://md.research.elamur.ai/free/en/authors/greg-diamos/)
- [Gurpreet Gosal](https://md.research.elamur.ai/free/en/authors/gurpreet-gosal/)
- [Heewoo Jun](https://md.research.elamur.ai/free/en/authors/heewoo-jun/)
- [Neha Sengupta](https://md.research.elamur.ai/free/en/authors/neha-sengupta/)
- [Rituraj Joshi](https://md.research.elamur.ai/free/en/authors/rituraj-joshi/)
- [Sharan Narang](https://md.research.elamur.ai/free/en/authors/sharan-narang/)
- [Sunil Kumar Sahu](https://md.research.elamur.ai/free/en/authors/sunil-kumar-sahu/)
- [Yang Yang](https://md.research.elamur.ai/free/en/authors/yang-yang/)
- [Yanqi Zhou](https://md.research.elamur.ai/free/en/authors/yanqi-zhou/)
- [Zhiming Chen](https://md.research.elamur.ai/free/en/authors/zhiming-chen/)

## Cited by

Papers of our library cite their works 200 times (of the 140,884 papers whose bibliographies we read); [42 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joel-hestness/cited-by/).
