Rastogi, Charvi

7 publications

TMLR 2026 Decoding Safety Feedback from Diverse Raters: A Data-Driven Lens on Responsiveness to Severity Pushkar Mishra, Charvi Rastogi, Stephen R Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
NeurIPS 2025 Whose View of Safety? a Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Diaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo
NeurIPSW 2024 Insights on Disagreement Patterns in Multimodal Safety Perception Across Diverse Rater Groups Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
NeurIPSW 2024 Lexically-Constrained Automated Prompt Augmentation: A Case Study Using Adversarial T2I Data Jessica Quaye, Alicia Parrish, Oana Inel, Minsuk Kahng, Charvi Rastogi, Hannah Rose Kirk, Jess Tsang, Nathan L Clement, Rafael Mosquera, Juan Manuel Ciro, Vijay Janapa Reddi, Lora Aroyo
NeurIPS 2023 DataPerf: Benchmarks for Data-Centric AI Development Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Y Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
JMLR 2022 Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
JMLR 2018 A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer