--- title: "Dustin Schwenk — author profile and papers in our library" description: "Dustin Schwenk, Allen Institute for Artificial Intelligence: 2 papers on Elamur Research (2022–2023), h-index 10 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/dustin-schwenk/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dustin-schwenk/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dustin Schwenk # Dustin Schwenk Dustin Schwenk has 2 papers in our library, in 2022–2023, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Christopher Clark](https://md.research.elamur.ai/free/en/authors/christopher-clark/), [Dirk Groeneveld](https://md.research.elamur.ai/free/en/authors/dirk-groeneveld/), [Iz Beltagy](https://md.research.elamur.ai/free/en/authors/iz-beltagy/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5007645100) · [ORCID](https://orcid.org/0000-0003-1666-6889) · [**h-index 10**](https://openalex.org/authors/A5007645100) · [23 works](https://openalex.org/works?filter=author.id:A5007645100) · [1,797 citations](https://openalex.org/works?filter=author.id:A5007645100&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dustin-schwenk/#papers) · [🔗 Cited 1,670 times in our library](https://md.research.elamur.ai/free/en/authors/dustin-schwenk/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3653](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3653) 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=Dustin+Schwenk) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dustin+Schwenk) · [dblp](https://dblp.org/search?q=Dustin+Schwenk) · [ACL Anthology](https://aclanthology.org/search/?q=Dustin+Schwenk) ## Affiliations [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2017–2025 · 16 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Washington** Seattle · United States 2021–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Yale University** New Haven · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🎓**Gwangju Institute of Science and Technology** Gwangju · South Korea 2021 · 2 papers](https://ror.org/024kbgz78) · [🎓**University of Pennsylvania** Philadelphia · United States 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) 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. 📚 Shelves 5 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/dustin-schwenk/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/dustin-schwenk/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge](https://md.research.elamur.ai/free/en/papers/schwenk-2022-okvqa-benchmark-visual-question-answering/)** *(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](https://md.research.elamur.ai/free/en/papers/magnusson-2023-paloma-benchmark-evaluating-language-model/)** *(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 ↗](https://doi.org/10.1109/cvpr52729.2023.01263) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Matt Deitke et al.*2023 · 800 citations* 2. **[A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge](https://md.research.elamur.ai/free/en/papers/schwenk-2022-okvqa-benchmark-visual-question-answering/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.*2022 · 509 citations* 3. **[OLMo: Accelerating the Science of Language Models ↗](https://aclanthology.org/2024.acl-long.841/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dirk Groeneveld et al.*2024 · 429 citations* 4. **[Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension ↗](https://doi.org/10.1109/cvpr.2017.571) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Aniruddha Kembhavi et al.*2017 · 360 citations* 5. **[Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ↗](https://aclanthology.org/2024.acl-long.840/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Luca Soldaini et al.*2024 · 341 citations* 6. **[2 OLMo 2 Furious ↗](https://arxiv.org/abs/2501.00656) arXiv:2501.00656 · no summary yet**Team OLMo et al.*2025 · 262 citations* 7. **[RoboTHOR: An Open Simulation-to-Real Embodied AI Platform ↗](https://doi.org/10.1109/cvpr42600.2020.00323) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Matt Deitke et al.*2020 · 231 citations* 8. **[X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers ↗](https://aclanthology.org/2020.emnlp-main.707/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jaemin Cho et al.*2020 · 112 citations* 9. **[What's In My Big Data? ↗](https://arxiv.org/abs/2310.20707) arXiv:2310.20707 · no summary yet**Yanai Elazar et al.*2023 · 92 citations* 10. **[SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World ↗](https://doi.org/10.1109/cvpr52733.2024.01537) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kiana Ehsani et al.*2024 · 44 citations* 11. **[Paloma: A Benchmark for Evaluating Language Model Fit](https://md.research.elamur.ai/free/en/papers/magnusson-2023-paloma-benchmark-evaluating-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**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 ↗](https://aclanthology.org/2021.emnlp-main.141/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Christopher Clark et al.*2021 · 10 citations* 13. **[FlexOLMo: Open Language Models for Flexible Data Use ↗](https://doi.org/10.52202/085713-5530) neural information processing systems · no summary yet**Weijia Shi et al.*2025 · 5 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Christopher Clark](https://md.research.elamur.ai/free/en/authors/christopher-clark/) - [Dirk Groeneveld](https://md.research.elamur.ai/free/en/authors/dirk-groeneveld/) - [Iz Beltagy](https://md.research.elamur.ai/free/en/authors/iz-beltagy/) - [Kyle Lo](https://md.research.elamur.ai/free/en/authors/kyle-lo/) - [Luca Soldaini](https://md.research.elamur.ai/free/en/authors/luca-soldaini/) - [Oyvind Tafjord](https://md.research.elamur.ai/free/en/authors/oyvind-tafjord/) - [Valentin Hofmann](https://md.research.elamur.ai/free/en/authors/valentin-hofmann/) - [Yanai Elazar](https://md.research.elamur.ai/free/en/authors/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](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/): [Lecture notes in computer science 2022](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/2022/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/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 →](https://md.research.elamur.ai/free/en/authors/dustin-schwenk/cited-by/). Updated 30 October 2026