Charvi Rastogi

30 papers A* 1B 2C 2Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity. Trans. Mach. Learn. Res. 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
2026	J	`jnl`	Evaluating Language Models for Harmful Manipulation. CoRR Canfer Akbulut, Rasmi Elasmar, Abhishek Roy, Anthony Payne, Priyanka Suresh, Lujain Ibrahim, Seliem El-Sayed, Charvi Rastogi, Ashyana Kachra, Will Hawkins, Kristian Lum, Laura Weidinger
2025	J	`jnl`	"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. CoRR Ding Wang, Mark Díaz, Charvi Rastogi, Aida Mostafazadeh Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo
2025	J	`jnl`	From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models. CoRR Jessica Quaye, Charvi Rastogi, Alicia Parrish, Oana Inel, Minsuk Kahng, Lora Aroyo, Vijay Janapa Reddi
2025	J	`jnl`	Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. CoRR Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R. McKee, Verena Rieser, Murray Shanahan, Laura Weidinger
2025	J	`jnl`	Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. CoRR Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2025	J	`jnl`	Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. CoRR Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Díaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo
2024	J	`jnl`	A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
2024	—	`conf`	Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
2024	J	`jnl`	Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. CoRR Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
2024	J	`jnl`	Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. CoRR 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
2023	J	`jnl`	Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. CoRR Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo
2023	A*	`conf`	DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick 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 D. 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 K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2023	C	`conf`	Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making. AIES Charvi Rastogi
2023	C	`conf`	Supporting Human-AI Collaboration in Auditing LLMs with LLMs. AIES Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi
2023	J	`jnl`	Supporting Human-AI Collaboration in Auditing LLMs with LLMs. CoRR Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi
2022	J	`jnl`	A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making. CoRR Charvi Rastogi, Liu Leqi, Kenneth Holstein, Hoda Heidari
2022	J	`jnl`	Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review. CoRR Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla, Federico Echenique, Nihar B. Shah
2022	J	`jnl`	Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. Proc. ACM Hum. Comput. Interact. Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
2022	J	`jnl`	How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah
2022	B	`conf`	No Rose for MLE: Inadmissibility of MLE for Evaluation Aggregation Under Levels of Expertise. ISIT Charvi Rastogi, Ivan Stelmakh, Nihar B. Shah, Sivaraman Balakrishnan
2022	J	`jnl`	To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online. CoRR Charvi Rastogi, Ivan Stelmakh, Xinwei Shen, Marina Meila, Federico Echenique, Shuchi Chawla, Nihar B. Shah
2022	J	`jnl`	Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. J. Mach. Learn. Res. Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
2020	J	`jnl`	A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. CoRR Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III
2020	J	`jnl`	Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. CoRR Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
2020	B	`conf`	Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions. ISIT Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
2020	J	`jnl`	Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. CoRR Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh
2018	J	`jnl`	A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. J. Mach. Learn. Res. Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer
2017	J	`jnl`	A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms. CoRR Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi, Pramod K. Varshney, Peer-Timo Bremer
2017	J	`jnl`	Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths. CoRR Charvi Rastogi, Animesh Kumar