🧑‍🔬 Jeremy Gwinnup

🏛️ Affiliations

🔬United States Air Force Research LaboratoryWright-Patterson AFB · United States2015–2026 · 27 papersEmployment since 2015 · Senior Research Computer Scientist, 711HPW/RHWTEcurrent🎓Johns Hopkins UniversityBaltimore · United States2019–2023 · 3 papersEducation 2020–2023 · Doctor of Engineering (D. Eng), Engineering🏢SRA InternationalFairfax · United States2014–2015 · 2 papers🎓Wright State UniversityDayton · United States1999–2023Education 1999–2023 · Masters of Science, Computer Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation (2019 · 185 citations)
   When a general-domain neural machine translation model is fine-tuned on a small in-domain corpus (continued training), it improves on the target domain but translates generic text much worse.
2. Findings of the MAGMaR 2026 Shared Task (2026)
   This overview reports the MAGMaR 2026 shared task, held at the second MAGMaR workshop at ACL. The task addresses multimodal information seeking, an area where most benchmarks still focus on text alone. Participants either ranked videos for a persona-specific query about a real 2025 event, or wrote cited articles…

All works

6 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. Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, et al.2019 · 185 citations
2. Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation ↗Proceedings of the Third Conference on Machine Translation: Research Papers · no summary yetBrian Thompson et al.2018 · 88 citations
3. The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU ↗Proceedings of the Second Conference on Machine Translation · no summary yetJeremy Gwinnup et al.2017 · 12 citations
4. The Case for Evaluating Multimodal Translation Models on Text Datasets ↗arXiv:2403.03014 · no summary yetVipin Vijayan; Braeden Bowen; Scott Grigsby; Timothy Anderson;, Jeremy Gwinnup2024 · 4 citations
5. Assessing the Role of Imagery in Multimodal Machine Translation ↗Proceedings of the Ninth Conference on Machine Translation · no summary yetNicholas Kashani Motlagh et al.2024 · 1 citation
6. Findings of the MAGMaR 2026 Shared TaskWorkshop on Multimodal Augmented Generation via Multimodal RetrievalAlexander Martin, Dengjia Zhang, Joel Brogan, et al.2026

🤝 Co-authors here

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

• Alexander Martin
• Andrew Yates
• Brian Thompson
• Francis Ferraro
• Huda Khayrallah
• Kenton Murray
• Kevin Duh
• Philipp Koehn
• Reno Kriz
• Xiang Xiang

Venues

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

• Proceedings of the Second Conference on Machine Translation ×2
• Workshop on Multimodal Augmented Generation via Multimodal Retrieval: Workshop on Multimodal Augmented Generation via Multimodal Retrieval 2026
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2019
• Proceedings of the Third Conference on Machine Translation: Research Papers

🔗 Cited by

Papers of our library cite their works 101 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 1 November 2026

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