Below is a list of all my peer-reviewed papers, organized by year of publication.


Anirudh Srinivasan, Venkata S Govindarajan, and Kyle Mahowald (Dec. 2023). “Counterfactually Probing Language Identity in Multilingual Models”. In: Proceedings of the The 3rd Workshop on Multi-lingual Representation Learning (MRL). Association for Computational Linguistics.
[pdf] [code] [poster]

Venkata S Govindarajan, Juan Diego Rodriguez, Kaj Bostrom, and Kyle Mahowald (Dec. 2023). “Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways”. In Proceedings of the BabyLM Challenge. Association for Computational Linguistics (ACL).
[pdf] [code] [models]

Venkata S Govindarajan, David I. Beaver, Kyle Mahowald, Jessy Li (July 2023). “Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias”. In Findings of the Association for Computational Linguistics (ACL). Toronto, Canada: Association for Computational Linguistics.
[pdf] [bib] [data+code] [poster] [slides] [talk]

Venkata S Govindarajan, Katherine Atwell, Barea Sinno, Malihe Alikhani, David I. Beaver, Jessy Li (May 2023). “How people talk about each other: Modeling Generalized Intergroup Bias and Emotion”. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Dubrovnik, Croatia: Association for Computational Linguistics.
[pdf] [bib] [data+code] [poster] [slides] [talk]


Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan, et al. (July 2022). “longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks” In Proceedings of the First Workshop on Dynamic Adversarial Data Collection. Seattle, WA: Association for Computational Linguistics.
[pdf] [bib]


Venkata S Govindarajan, Benjamin T. Chen, Rebecca Warholic, Katrin Erk & Junyi Jessy Li (November 2020). “Help! Need Advice on Identifying Advice”. In Proceedings of The 2020 Conference on Empirical Methods in Natural Language Processing. Online: Association for Computational Linguistics. November 2020.
[pdf] [bib] [data+code] [slides] [talk]

Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, & Benjamin Van Durme (May 2020). “The Universal Decompositional Semantics Dataset and Decomp Toolkit”. In Proceedings of The 12th Language Resources and Evaluation Conference, 5698-5707. Marseille, France: European Language Resources Association.
[pdf] [bib] [data]


Venkata Govindarajan, Benjamin Van Durme, & Aaron Steven White (2019). “Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements”. In Transactions of the Association for Computational Linguistics 7. 501–517.
[pdf] [bib] [data+code] [slides]