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Jason Dunkelberger

Jason Dunkelberger has 2 papers in our library, in 2018–2025, most of them on Language models & pretraining, Vision & language; often with Ahmed Elgohary, Aman Rangapur, Chandra Bhagavatula.

2 papers in our library · 2018–2025

OpenAlex · h-index 6 · 11 works · 2,474 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 214 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4101

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 InstituteSeattle · United States2025 · 1 papercurrent🎓University of PennsylvaniaPhiladelphia · United States2008–2012 · 5 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2018–2023 · 3 papers🎓Northwestern UniversityEvanston · United States2018 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workStatistics, Probability and Uncertainty · 1 workComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20251 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Construction of the Literature Graph in Semantic Scholar (2018 · 400 citations)
    The paper describes the production pipeline behind Semantic Scholar. It turns a large, heterogeneous collection of scientific publications into a single directed property graph that machines can query. The graph has over 280M nodes covering papers, authors, entities and entity mentions. Its edges encode citations…
  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

4 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. Construction of the Literature Graph in Semantic ScholarConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.2018 · 400 citations
  2. The Semantic Scholar Open Data Platform ↗arXiv (Cornell University) · no summary yetRodney Kinney et al.2023 · 126 citations
  3. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsarXiv:2502.18443Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.2025 · 44 citations
  4. AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite ↗arXiv:2510.21652 · no summary yetJonathan Bragg et al.2025 · 19 citations

 Co-authors here

12 of 13 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 214 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

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