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Jon Borchardt

Jon Borchardt has 2 papers in our library, in 2021–2025, most of them on Language models & pretraining, Vision & language; often with Aman Rangapur, Chandra Bhagavatula, Jake Poznanski.

2 papers in our library · 2021–2025

OpenAlex · h-index 6 · 10 works · 247 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 308 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7043

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Allen Institute for Artificial IntelligenceSeattle · United States2025 · 2 paperscurrent🎓Stanford UniversityStanford · United States2025 · 2 paperscurrent🎓University of California, BerkeleyBerkeley · United States2025 · 2 paperscurrent

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 1 workComputer Science · 1 workArtificial Intelligence · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20251 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Can Machines Learn Morality? The 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 (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 ExperimentarXiv:2110.07574Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, et al.2021 · 110 citations
  2. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsarXiv:2502.18443Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.2025 · 44 citations
  3. Investigating machine moral judgement through the Delphi experiment ↗Nature Machine Intelligence · no summary yetLiwei Jiang et al.2025 · 44 citations

 Co-authors here

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

Venues

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

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jon-borchardt/