Code-switching

Pattichis, R., LaCasse, D., & Torres Cacoullos, R. (2025). Re-evaluating the word token for bilingual speech processing: The case for Intonation Units. Computational Linguistics, 1-22.
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Alvero, A., & Pattichis, R. (2024). Multilingualism and mismatching: Spanish language usage in college admissions essays. Poetics, 105, 101903.
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Pattichis, R., LaCasse, D., Trawick, S., & Torres Cacoullos, R. (2023, December). Code-switching Metrics Using Intonation Units. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 16840-16849).
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Pattichis, R. (2024). Grounding Code-Switching Evaluation to Community Speech Patterns. [Masters Thesis, UCLA]. UCLA ProQuest Repository. Advisor: Prof. Nanyun Peng.
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Pattichis, R. (2022). Centering the Voices of First-Generation Immigrant Youth: Multilingual NLP Methods in the Translanguaging Context. [Undergraduate Honors Thesis, Stanford University]. Stanford Digital Repository. Advisor: Prof. Christopher Manning.
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Model Interpretability, Auditing, and Bias Detection

Wan, Y., Subramonian, A., Ovalle, A., Lin, Z., Suvarna, A., Chance, C., Bansal, H., Pattichis, R., & Chang, K. (2024). Survey of bias In text-to-image generation: Definition, evaluation, and mitigation. arXiv preprint arXiv:2404.01030. ArXiv.
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Pattichis, R., & Pattichis, M. (2024, March). Understanding Neural Network Systems for Image Analysis using Vector Spaces. In 2024 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) (pp. 73-76). IEEE.
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NLP Applications

Vinella, A., Capetz, M., Pattichis, R., Chance, C., Ghosh, R., & Chang, K. (2023). Leveraging language models to detect greenwashing. arXiv preprint arXiv:2311.01469..
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