Grossman, R., Liu, S., Chen, M., Smith, M., Borcea, C., & Chen, Y. (2026). How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews. Forthcoming in the ACM SIGIR Conference on Research and Development in Information Retrieval.
Grossman, R. & Chen, Y. (2026). Zero-shot Large Language Models for Automatic Readability Assessment. Forthcoming in the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).
Smith, M., Grossman, R., Torres-Agüero, A., Sen, P., Chen, Y., & Borcea, C. (2026). Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services. Forthcoming in Proceedings of the International AAAI Conference on Web and Social Media (ICWSM).
Grossman, R., Smith, M., Borcea, C., & Chen, Y. (2026). Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR. Forthcoming in Proceedings of the International AAAI Conference on Web and Social Media (ICWSM).
Gao, W., Grossman, R. & Chen, Y. (2025). Explaining Clinical Outcome Prediction with Compositional Rationale Extraction Model. In 2025 IEEE International Conference on Big Data (BigData).
Smith, M., Torres-Agüero, A., Grossman, R., Sen, P., Chen, Y., & Borcea, C. (2024). A Study of GDPR Compliance under the Transparency and Consent Framework. In Proceedings of the ACM on Web Conference 2024 (pp. 1227-1236).
Heap, A., Donovan, U., Grossman, R., Laine, N., McDermott, C., Paone, M., & Southcott, D. (2023). Knot Mosaics with Corner Connection Tiles. Pi Mu Epsilon Journal 15, No. 9, 553-568.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA