---
title: "Jonathan Frankle — author profile and papers in our library"
description: "Jonathan Frankle: 2 papers on Elamur Research (2024), h-index 18 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jonathan-frankle/"
---
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# Jonathan Frankle

Jonathan Frankle has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/), [David Hall](https://md.research.elamur.ai/free/en/authors/david-hall/), [Michihiro Yasunaga](https://md.research.elamur.ai/free/en/authors/michihiro-yasunaga/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5078716102) · [**h-index 18**](https://openalex.org/authors/A5078716102) · [48 works](https://openalex.org/works?filter=author.id:A5078716102) · [3,151 citations](https://openalex.org/works?filter=author.id:A5078716102&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jonathan-frankle/#papers) · [🔗 Cited 94 times in our library](https://md.research.elamur.ai/free/en/authors/jonathan-frankle/cited-by/) · [⭐ Paper Stars ranking: #6359](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6359)

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

## Affiliations

[🎓**Massachusetts Institute of Technology** Cambridge · United States 2018–2022 · 18 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Databricks** San Francisco 2024–2025 · 4 papers](https://ror.org/01ynzx943) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2020–2021 · 4 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Princeton University** Princeton · United States 2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/jonathan-frankle/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text](https://md.research.elamur.ai/free/en/papers/bolton-2024-biomedlm-2-7b-parameter-language/)** *(2024 · 79 citations)* Frontier systems such as GPT-4 and Med-PaLM 2 perform very well on biomedical NLP. However, they are huge, expensive, reachable only through remote APIs (a problem for patient privacy) and trained on undisclosed data. The authors ask whether a much smaller, domain-focused model can be competitive. They built…
2. **[Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws](https://md.research.elamur.ai/free/en/papers/sardana-2024-chinchilla-optimal-accounting-inference-language/)** *(2024 · 57 citations)* The Chinchilla scaling laws suggest how to divide a compute budget between the number of parameters and the amount of training data.

## Co-authors here

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

- [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/)
- [David Hall](https://md.research.elamur.ai/free/en/authors/david-hall/)
- [Michihiro Yasunaga](https://md.research.elamur.ai/free/en/authors/michihiro-yasunaga/)
- [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/)

## Cited by

Papers of our library cite their works 94 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jonathan-frankle/cited-by/).

Updated 30 October 2026
