Rachel Rudinger

1.1k total citations
31 papers, 446 citations indexed

About

Rachel Rudinger is a scholar working on Artificial Intelligence, Political Science and International Relations and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rachel Rudinger has authored 31 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 3 papers in Political Science and International Relations and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rachel Rudinger's work include Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Text Readability and Simplification (5 papers). Rachel Rudinger is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Text Readability and Simplification (5 papers). Rachel Rudinger collaborates with scholars based in United States, India and Germany. Rachel Rudinger's co-authors include Benjamin Van Durme, Sheng Zhang, Aaron Steven White, Francis Ferraro, Kevin Duh, Pushpendre Rastogi, Kyle Rawlins, Hal Daumé, Adam Poliak and J. Edward Hu and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, NPARC and arXiv (Cornell University).

In The Last Decade

Rachel Rudinger

26 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rachel Rudinger United States 12 415 64 25 19 19 31 446
Nina Tahmasebi Sweden 9 321 0.8× 23 0.4× 42 1.7× 21 1.1× 22 1.2× 43 397
Emily Sheng United States 6 355 0.9× 56 0.9× 33 1.3× 34 1.8× 19 1.0× 10 420
Tommaso Pasini Italy 14 549 1.3× 61 1.0× 24 1.0× 4 0.2× 7 0.4× 26 584
Mladen Karan Croatia 11 359 0.9× 22 0.3× 72 2.9× 10 0.5× 26 1.4× 27 414
Giovanni Moretti Italy 9 172 0.4× 26 0.4× 37 1.5× 7 0.4× 19 1.0× 29 246
Ines Rehbein Germany 12 401 1.0× 22 0.3× 29 1.2× 7 0.4× 11 0.6× 58 449
Erik Velldal Norway 14 467 1.1× 13 0.2× 28 1.1× 27 1.4× 26 1.4× 45 525
Yada Pruksachatkun United States 7 301 0.7× 80 1.3× 31 1.2× 9 0.5× 35 1.8× 8 372
Stephan Gouws South Africa 8 449 1.1× 70 1.1× 44 1.8× 3 0.2× 12 0.6× 9 484
Seid Muhie Yimam Germany 11 402 1.0× 20 0.3× 51 2.0× 6 0.3× 15 0.8× 37 446

Countries citing papers authored by Rachel Rudinger

Since Specialization
Citations

This map shows the geographic impact of Rachel Rudinger'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 Rachel Rudinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Rudinger more than expected).

Fields of papers citing papers by Rachel Rudinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel Rudinger. 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 Rachel Rudinger. The network helps show where Rachel Rudinger may publish in the future.

Co-authorship network of co-authors of Rachel Rudinger

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Rudinger. A scholar is included among the top collaborators of Rachel Rudinger 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 Rachel Rudinger. Rachel Rudinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Rudinger, Rachel, et al.. (2025). Multiple LLM Agents Debate for Equitable Cultural Alignment. 24841–24877.
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Ravichander, Abhilasha, et al.. (2024). Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?. 10308–10330. 3 indexed citations
5.
Rudinger, Rachel, et al.. (2024). Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US. 9483–9502. 2 indexed citations
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Carpuat, Marine, et al.. (2024). How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?. Transactions of the Association for Computational Linguistics. 12. 1143–1162.
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Rudinger, Rachel, et al.. (2023). FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models. 9952–9962. 8 indexed citations
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Zhao, Jieyu, et al.. (2023). SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. 1573–1596. 4 indexed citations
12.
Sotnikova, Anna, et al.. (2022). Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1276–1295. 17 indexed citations
13.
Srinivasan, B., et al.. (2022). Agent-Specific Deontic Modality Detection in Legal Language. 11563–11579. 1 indexed citations
14.
Poliak, Adam, Rachel Rudinger, J. Edward Hu, et al.. (2018). Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. arXiv (Cornell University). 4 indexed citations
15.
White, Aaron Steven, Rachel Rudinger, Kyle Rawlins, & Benjamin Van Durme. (2018). Lexicosyntactic Inference in Neural Models. 4717–4724. 13 indexed citations
16.
Poliak, Adam, Rachel Rudinger, J. Edward Hu, et al.. (2018). Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. 67–81. 49 indexed citations
17.
Rudinger, Rachel, et al.. (2017). Social Bias in Elicited Natural Language Inferences. 74–79. 46 indexed citations
18.
Rudinger, Rachel, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, & Manfred Pinkal. (2015). Learning to predict script events from domain-specific text. 205–210. 11 indexed citations
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Rudinger, Rachel, Pushpendre Rastogi, Francis Ferraro, & Benjamin Van Durme. (2015). Script Induction as Language Modeling. 1681–1686. 59 indexed citations
20.
Rudinger, Rachel & Benjamin Van Durme. (2014). Is the Stanford Dependency Representation Semantic?. 54–58. 3 indexed citations

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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