🧑‍🔬 Jesse Dodge

🏛️ Affiliations

🔬Allen Institute for Artificial IntelligenceSeattle · United States2019–2025 · 36 papers🎓Carnegie Mellon UniversityPittsburgh · United States2014–2025 · 15 papers🎓University of WashingtonSeattle · United States2013–2025 · 11 papers🎓University of California, BerkeleyBerkeley · United States2022–2025 · 5 papers🎓Stanford UniversityStanford · United States2021–2025 · 4 papers🎓Yale UniversityNew Haven · United States2024 · 2 papers🎓Hebrew University of JerusalemJerusalem · Israel2021 · 2 papers🎓University of California, IrvineIrvine · United States2021 · 2 papers🏢MetaMenlo Park · United States2015–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Green AI (2019 · 370 citations)
   This position paper looks at the rapidly growing computational demands of deep learning research. Citing an estimate that the compute used to train landmark models grew roughly 300,000-fold between 2012 and 2018, the authors argue that chasing leaderboard accuracy by spending ever more compute has environmental costs…
2. The Right Tool for the Job: Matching Model and Instance Complexities (2020 · 194 citations)
   Running large pretrained encoders such as BERT-large in production is costly, because every incoming instance pays the full inference price.

All works

8 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. Green AIRoy Schwartz, Jesse Dodge, Noah A. Smith, et al.arXiv:1907.10597 · 370 citations
2. The Right Tool for the Job: Matching Model and Instance ComplexitiesRoy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.Annual Meeting of the Association for… · 194 citations
3. Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems (original ↗)Jesse Dodge et al.2015 · arXiv:1511.06931 · 109 citations · no summary yet
4. What's In My Big Data? (original ↗)Yanai Elazar et al.2023 · arXiv:2310.20707 · 85 citations · no summary yet
5. Paloma: A Benchmark for Evaluating Language Model Fit (original ↗)Ian Magnusson et al.2023 · arXiv:2312.10523 · 35 citations · no summary yet
6. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters (original ↗)Li Lucy et al.2024 · Proceedings of the 62nd Annual Meeting of the… · 14 citations · no summary yet
7. Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages (original ↗)David Ifeoluwa Adelani et al.2022 · Proceedings of the Seventh Conference on… · 13 citations · no summary yet
8. SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks (original ↗)Yilun Zhao et al.2025 · arXiv:2507.01001 · 10 citations · no summary yet

🤝 Co-authors here

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

• Noah A. Smith ×2
• Roy Schwartz ×2
• Gabriel Stanovsky
• Oren Etzioni
• Swabha Swayamdipta

Venues

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

• Annual Meeting of the Association for Computational… ×2: 2020
• Transactions of the Association for Computational…
• Proceedings of the Seventh Conference on Machine…

🔗 Cited by

Papers of our library cite their works 620 times (of the 141,840 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated 24 October 2026

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