Jesse Dodge

4.8k total citations · 2 hit papers
27 papers, 1.8k citations indexed

About

Jesse Dodge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Jesse Dodge has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Safety Research. Recurrent topics in Jesse Dodge's work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Jesse Dodge is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Jesse Dodge collaborates with scholars based in United States, Canada and United Kingdom. Jesse Dodge's co-authors include Noah A. Smith, Roy Schwartz, Oren Etzioni, Chris Dyer, Manaal Faruqui, Eduard Hovy, Sunil Kumar Jauhar, Margaret Mitchell, Tamara L. Berg and Xufeng Han and has published in prestigious journals such as Communications of the ACM, International Journal of Computer Vision and Nature Machine Intelligence.

In The Last Decade

Jesse Dodge

26 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Green AI

2020 604 citations Roy Schwartz, Jesse Dodge et al. Communications of the ACM profile →
Retrofitting Word Vectors to Semantic Lexicons

2015 426 citations Manaal Faruqui, Jesse Dodge et al. profile →

Peers

Countries citing papers authored by Jesse Dodge

Since Specialization

Citations

This map shows the geographic impact of Jesse Dodge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jesse Dodge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Dodge more than expected).

Fields of papers citing papers by Jesse Dodge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse Dodge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jesse Dodge. The network helps show where Jesse Dodge may publish in the future.

Co-authorship network of co-authors of Jesse Dodge

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Dodge. A scholar is included among the top collaborators of Jesse Dodge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jesse Dodge. Jesse Dodge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	OLMES: A Standard for Language Model Evaluations 2025 ·Yuling Gu, Oyvind Tafjord, Bailey Kuehl, (unknown), Jesse Dodge, Hannaneh Hajishirzi	1
2	Investigating machine moral judgement through the Delphi experiment 2025 ·Nature Machine Intelligence ·Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, (unknown), (unknown), Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, (unknown), (unknown), Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, (unknown)	5
3	Language Models Hallucinate, but May Excel at Fact Verification 2024 ·Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng	3
4	Scalable Data Ablation Approximations for Language Models through Modular Training and Merging 2024 ·(unknown), (unknown), (unknown), (unknown), Emma Strubell, Jesse Dodge, Pradeep Dasigi	0
5	AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters 2024 ·Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge	1
6	Detecting Personal Information in Training Corpora: an Analysis 2023 ·Nishant Subramani, Alexandra Sasha Luccioni, Jesse Dodge, Margaret Mitchell	8
7	Reproducibility in NLP: What Have We Learned from the Checklist? 2023 ·(unknown), Noah A. Smith, Jesse Dodge	1
8	AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models 2023 ·Open access LMU (Ludwid Maxmilian's Universitat Munchen) ·(unknown), Matthew E. Peters, Alexander Fraser, Jesse Dodge	10
9	ML Reproducibility Challenge 2022 2023 ·Zenodo (CERN European Organization for Nuclear Research) ·Koustuv Sinha, (unknown), (unknown), Jessica Zosa Forde, (unknown), Jesse Dodge, Joëlle Pineau, Robert Stojnic	7
10	Stubborn Lexical Bias in Data and Models 2023 ·Sofia Serrano, Jesse Dodge, Noah A. Smith	3
11	Competency Problems: On Finding and Removing Artifacts in Language Data 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, (unknown), Sameer Singh, Noah A. Smith	46
12	ML Reproducibility Challenge 2020 2021 ·Zenodo (CERN European Organization for Nuclear Research) ·Koustuv Sinha, Jesse Dodge, (unknown), Jessica Zosa Forde, (unknown), Joëlle Pineau, Robert Stojnic	3
13	Green AI breakdown → 2020 ·Communications of the ACM ·Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni	604
14	Show Your Work: Improved Reporting of Experimental Results 2019 ·Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith	105
15	RNN Architecture Learning with Sparse Regularization 2019 ·Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith	2
16	Retrofitting Word Vectors to Semantic Lexicons breakdown → 2015 ·Manaal Faruqui, Jesse Dodge, Sunil Kumar Jauhar, Chris Dyer, Eduard Hovy, Noah A. Smith	426
17	CMU: Arc-Factored, Discriminative Semantic Dependency Parsing 2014 ·Figshare ·Sam Thomson, Brendan O’Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith	8
18	Context-dependent Semantic Parsing for Time Expressions 2014 ·Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer	43
19	Midge: Generating Image Descriptions From Computer Vision Detections 2012 ·Conference of the European Chapter of the Association for Computational Linguistics ·Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa Mensch, (unknown), Tamara L. Berg, Hal Daumé	251
20	Detecting Visual Text 2012 ·Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé, (unknown), Tamara L. Berg	29

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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