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

, , , , , , , , , , , и . CoRR, (2024)

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Zachary Dotscheff

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Pierre Izzo

 

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