Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths. - Charvi Rastogi; Animesh Kumar (CoRR, 2017)

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 (J. Mach. Learn. Res., 2018)

Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions. - Charvi Rastogi; Sivaraman Balakrishnan; Nihar B. Shah; Aarti Singh (ISIT, 2020)

A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. - Ivan Stelmakh; Charvi Rastogi; Nihar B. Shah; Aarti Singh; Hal Daumé III (CoRR, 2020)

No Rose for MLE: Inadmissibility of MLE for Evaluation Aggregation Under Levels of Expertise. - Charvi Rastogi; Ivan Stelmakh; Nihar B. Shah; Sivaraman Balakrishnan (ISIT, 2022)

Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review. - Ivan Stelmakh; Charvi Rastogi; Ryan Liu 001; Shuchi Chawla 001; Federico Echenique; Nihar B. Shah (CoRR, 2022)

To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online. - Charvi Rastogi; Ivan Stelmakh; Xinwei Shen; Marina Meila; Federico Echenique; Shuchi Chawla 001; Nihar B. Shah (CoRR, 2022)

A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making. - Charvi Rastogi; Liu Leqi; Kenneth Holstein; Hoda Heidari (CoRR, 2022)

How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? - Charvi Rastogi; Ivan Stelmakh; Alina Beygelzimer; Yann N. Dauphin; Percy Liang; Jennifer Wortman Vaughan; Zhenyu Xue; Hal Daumé III; Emma Pierson; Nihar B. Shah (CoRR, 2022)

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions. - Charvi Rastogi; Sivaraman Balakrishnan; Nihar B. Shah; Aarti Singh (J. Mach. Learn. Res., 2022)

Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. - Charvi Rastogi; Yunfeng Zhang; Dennis Wei; Kush R. Varshney; Amit Dhurandhar; Richard Tomsett (Proc. ACM Hum. Comput. Interact., 2022)

Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making. - Charvi Rastogi (AIES, 2023)

Supporting Human-AI Collaboration in Auditing LLMs with LLMs. - Charvi Rastogi; Marco Túlio Ribeiro; Nicholas King; Harsha Nori; Saleema Amershi (AIES, 2023)

DataPerf: Benchmarks for Data-Centric AI Development. - 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; et al. (NeurIPS, 2023)

Supporting Human-AI Collaboration in Auditing LLMs with LLMs. - Charvi Rastogi; Marco Túlio Ribeiro; Nicholas King; Saleema Amershi (CoRR, 2023)

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. - 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; et al. (CoRR, 2023)

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. - 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; et al. (FAccT, 2024)

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. - Charvi Rastogi; Xiangchen Song; Zhijing Jin 001; Ivan Stelmakh; Hal Daumé III; Kun Zhang 001; Nihar B. Shah (CoRR, 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; et al. (CoRR, 2024)

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. - Lujain Ibrahim; Canfer Akbulut; Rasmi Elasmar; Charvi Rastogi; Minsuk Kahng; Meredith Ringel Morris; Kevin R. McKee; Verena Rieser; Murray Shanahan; Laura Weidinger (CoRR, 2025)

Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. - Pushkar Mishra; Charvi Rastogi; Stephen R. Pfohl; Alicia Parrish; Roma Patel; Mark Diaz; Ding Wang; Michela Paganini; Vinodkumar Prabhakaran; Lora Aroyo; Verena Rieser (CoRR, 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 Díaz; Alicia Parrish; Aida Mostafazadeh Davani; Zoe Ashwood; Michela Paganini; Vinodkumar Prabhakaran; Verena Rieser; et al. (CoRR, 2025)

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. - 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; et al. (CoRR, 2025)

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models. - Jessica Quaye; Charvi Rastogi; Alicia Parrish; Oana Inel; Minsuk Kahng; Lora Aroyo; Vijay Janapa Reddi (CoRR, 2025)