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Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.

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Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations., , , and . CoRR, (2020)Provable Membership Inference Privacy., , , and . CoRR, (2022)How to Learn when Data Gradually Reacts to Your Model., , and . CoRR, (2021)Dimensionality Reduction for Wasserstein Barycenter., , and . NeurIPS, page 15582-15594. (2021)How to Learn when Data Reacts to Your Model: Performative Gradient Descent., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4641-4650. PMLR, (2021)How to Learn when Data Gradually Reacts to Your Model., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3998-4035. PMLR, (2022)Approximate Data Deletion from Machine Learning Models., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2008-2016. PMLR, (2021)Data-Driven Subgroup Identification for Linear Regression., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 14531-14552. PMLR, (2023)Importance Tempering: Group Robustness for Overparameterized Models., , , and . CoRR, (2022)Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews., , , , , , , , , and 2 other author(s). CoRR, (2024)