---
title: "Jon Borchardt — author profile and papers — Elamur Research"
description: "Jon Borchardt, Allen Institute for Artificial Intelligence: 2 papers on Elamur Research (2021–2025), h-index 6 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/jon-borchardt/"
---
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# Jon Borchardt

Jon Borchardt has 2 papers in our library, in 2021–2025, 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 [Aman Rangapur](https://md.research.elamur.ai/free/en/authors/aman-rangapur/), [Chandra Bhagavatula](https://md.research.elamur.ai/free/en/authors/chandra-bhagavatula/), [Jake Poznanski](https://md.research.elamur.ai/free/en/authors/jake-poznanski/).

2 papers in our library · 2021–2025

[OpenAlex](https://openalex.org/A5053611204) · [**h-index 6**](https://openalex.org/authors/A5053611204) · [10 works](https://openalex.org/works?filter=author.id:A5053611204) · [247 citations](https://openalex.org/works?filter=author.id:A5053611204&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jon-borchardt/#papers) · [🔗 Cited 308 times in our library](https://md.research.elamur.ai/free/en/authors/jon-borchardt/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7043](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7043)

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

## Affiliations

[🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Stanford University** Stanford · United States 2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2025 · 2 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.

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jon-borchardt/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/jon-borchardt/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Can Machines Learn Morality? The Delphi Experiment](https://md.research.elamur.ai/free/en/papers/jiang-2021-machines-learn-morality-delphi-experiment/)** *(2021 · 110 citations)* AI systems increasingly make choices with ethical consequences, yet large language models trained on web text have no explicit grasp of everyday moral norms.
2. **[olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models](https://md.research.elamur.ai/free/en/papers/poznanski-2025-olmocr-unlocking-trillions-tokens-pdfs/)** *(2025 · 44 citations)* PDFs hold a vast amount of high-quality text that could serve as training data for language models. They are hard to use because the format records glyphs and their positions rather than logical structure or reading order. Open-source extractors tend to produce noisy output, and strong proprietary VLMs are expensive…

## All works

3 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. [**Can Machines Learn Morality? The Delphi Experiment arXiv:2110.07574**Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, et al.*2021 · 110 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2021-machines-learn-morality-delphi-experiment/)
2. [**olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models arXiv:2502.18443**Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.*2025 · 44 citations*](https://md.research.elamur.ai/free/en/papers/poznanski-2025-olmocr-unlocking-trillions-tokens-pdfs/)
3. **[Investigating machine moral judgement through the Delphi experiment ↗](https://doi.org/10.1038/s42256-024-00969-6) Nature Machine Intelligence · no summary yet**Liwei Jiang et al.*2025 · 44 citations*

## Co-authors here

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

- [Aman Rangapur](https://md.research.elamur.ai/free/en/authors/aman-rangapur/)
- [Chandra Bhagavatula](https://md.research.elamur.ai/free/en/authors/chandra-bhagavatula/)
- [Jake Poznanski](https://md.research.elamur.ai/free/en/authors/jake-poznanski/)
- [Jason Dunkelberger](https://md.research.elamur.ai/free/en/authors/jason-dunkelberger/)
- [Jena D. Hwang](https://md.research.elamur.ai/free/en/authors/jena-d-hwang/)
- [Jenny Liang](https://md.research.elamur.ai/free/en/authors/jenny-liang/)
- [Jesse Dodge](https://md.research.elamur.ai/free/en/authors/jesse-dodge/)
- [Keisuke Sakaguchi](https://md.research.elamur.ai/free/en/authors/keisuke-sakaguchi/)
- [Kyle Lo](https://md.research.elamur.ai/free/en/authors/kyle-lo/)
- [Liwei Jiang](https://md.research.elamur.ai/free/en/authors/liwei-jiang/)
- [Luca Soldaini](https://md.research.elamur.ai/free/en/authors/luca-soldaini/)
- [Maxwell Forbes](https://md.research.elamur.ai/free/en/authors/maxwell-forbes/)

## Venues

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

- [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)
- Nature Machine Intelligence

## Cited by

Papers of our library cite their works 308 times (of the 149,439 papers whose bibliographies we read); [86 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jon-borchardt/cited-by/).

Updated 2 November 2026
