Charvi Rastogi

According to our database, Charvi Rastogi authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions.

Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah

CoRR, 2024

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, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

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, Lora Aroyo

CoRR, 2023

Supporting Human-AI Collaboration in Auditing LLMs with LLMs.

Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Saleema Amershi

CoRR, 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, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Supporting Human-AI Collaboration in Auditing LLMs with LLMs.

Charvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Investigating the Relative Strengths of Humans and Machine Learning in Decision-Making.

Charvi Rastogi

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

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

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

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

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

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, Nihar B. Shah

CoRR, 2022

Cite-seeing and Reviewing: A Study on Citation Bias in Peer Review.

Ivan Stelmakh, Charvi Rastogi, Ryan Liu, Shuchi Chawla, Federico Echenique, Nihar B. Shah

CoRR, 2022

No Rose for MLE: Inadmissibility of MLE for Evaluation Aggregation Under Levels of Expertise.

Charvi Rastogi, Ivan Stelmakh, Nihar B. Shah, Sivaraman Balakrishnan

Proceedings of the IEEE International Symposium on Information Theory, 2022

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

Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions.

Charvi Rastogi, Sivaraman Balakrishnan, Nihar B. Shah, Aarti Singh

Proceedings of the IEEE International Symposium on Information Theory, 2020

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

J. Mach. Learn. Res., 2018

2017

Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths.

Charvi Rastogi, Animesh Kumar

CoRR, 2017