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A non-parametric test to detect data-copying in generative models

Research article (arXiv (Cornell University), 2020) · cited 11× · AI/ML
academia openalex:W3042518613
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A non-parametric test to detect data-copying in generative models

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A non-parametric test to detect data-copying in generative models is a scholarly article[1].

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  • A non-parametric test to detect data-copying in generative models's instance of is recorded as scholarly article[2].

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Sanjoy Dasgupta

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A non-parametric test to detect data-copying in generative models. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-non-parametric-test-to-detect-data-copying-in-generative-models
MLA “A non-parametric test to detect data-copying in generative models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-non-parametric-test-to-detect-data-copying-in-generative-models.
BibTeX @misc{4ortxyz_a-non-parametric-test-to-detect-data-copying-in-generative-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A non-parametric test to detect data-copying in generative models}}, year = {2026}, url = {https://4ort.xyz/entity/a-non-parametric-test-to-detect-data-copying-in-generative-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A non-parametric test to detect data-copying in generative models — https://4ort.xyz/entity/a-non-parametric-test-to-detect-data-copying-in-generative-models (retrieved 2026-05-24)

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