🧑‍🔬 Dustin Schwenk

🏛️ Affiliations

🔬Allen Institute for Artificial IntelligenceSeattle · United States2017–2025 · 16 paperscurrent🎓University of WashingtonSeattle · United States2021–2024 · 4 papers🎓Yale UniversityNew Haven · United States2024 · 2 papers🎓Gwangju Institute of Science and TechnologyGwangju · South Korea2021 · 2 papers🎓University of PennsylvaniaPhiladelphia · United States2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge (2022 · 509 citations)
   Large pretrained vision–language models have nearly saturated many Visual Question Answering benchmarks. One reason is that the questions in these benchmarks are formulaic, need little knowledge beyond the picture, and require only shallow inference. A-OKVQA, an extension of the authors' earlier OK-VQA, addresses…
2. Paloma: A Benchmark for Evaluating Language Model Fit (2023 · 42 citations)
   Language models are usually scored by perplexity on one held-out corpus. Such a corpus quietly blends many kinds of text, so a single number cannot show how well a model handles each kind. Paloma (Perplexity Analysis for Language Model Assessment) instead measures fit across 546 fine-grained English and code domains…

All works

13 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. Objaverse: A Universe of Annotated 3D Objects ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMatt Deitke et al.2023 · 800 citations
2. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
3. OLMo: Accelerating the Science of Language Models ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDirk Groeneveld et al.2024 · 429 citations
4. Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAniruddha Kembhavi et al.2017 · 360 citations
5. Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLuca Soldaini et al.2024 · 341 citations
6. 2 OLMo 2 Furious ↗arXiv:2501.00656 · no summary yetTeam OLMo et al.2025 · 262 citations
7. RoboTHOR: An Open Simulation-to-Real Embodied AI Platform ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMatt Deitke et al.2020 · 231 citations
8. X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetJaemin Cho et al.2020 · 112 citations
9. What's In My Big Data? ↗arXiv:2310.20707 · no summary yetYanai Elazar et al.2023 · 92 citations
10. SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKiana Ehsani et al.2024 · 44 citations
11. Paloma: A Benchmark for Evaluating Language Model FitConference on Neural Information Processing Systems (NeurIPS)Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.2023 · 42 citations
12. Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetChristopher Clark et al.2021 · 10 citations
13. FlexOLMo: Open Language Models for Flexible Data Use ↗neural information processing systems · no summary yetWeijia Shi et al.2025 · 5 citations

🤝 Co-authors here

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

• Christopher Clark
• Dirk Groeneveld
• Iz Beltagy
• Kyle Lo
• Luca Soldaini
• Oyvind Tafjord
• Valentin Hofmann
• Yanai Elazar

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/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×4
• Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2
• Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
• Lecture notes in computer science: Lecture notes in computer science 2022
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 1,670 times (of the 149,439 papers whose bibliographies we read); 283 citing papers with a page here →.

Updated 30 October 2026

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