What happens when generative AI models train recursively on each others' generated outputs?

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What happens when generative AI models train recursively on each others' generated outputs?

27 May 2025

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Papers citing "What happens when generative AI models train recursively on each others' generated outputs?"

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Title
Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them Marc Felix Brinner Tarek Al Mustafa Sina Zarrieß 73 2 0 27 Mar 2025
Position: Model Collapse Does Not Mean What You Think Rylan Schaeffer Joshua Kazdan Alvan Caleb Arulandu Sanmi Koyejo 252 4 0 05 Mar 2025
Machine-generated text detection prevents language model collapse George Drayson Emine Yilmaz Vasileios Lampos DeLMO 237 1 0 21 Feb 2025
We're Different, We're the Same: Creative Homogeneity Across LLMs Emily Wenger Yoed Kenett 130 9 0 31 Jan 2025
Can AI-Generated Text be Reliably Detected? Vinu Sankar Sadasivan Aounon Kumar S. Balasubramanian Wenxiao Wang Soheil Feizi DeLMO 291 389 0 20 Jan 2025
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World Joshua Kazdan Rylan Schaeffer Apratim Dey Matthias Gerstgrasser Rafael Rafailov D. Donoho Sanmi Koyejo 140 18 0 22 Oct 2024
Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits Hana Matatov Marianne Aubin Le Quere Ofra Amir Mor Naaman 106 2 0 09 Oct 2024
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models Hanlin Zhang Benjamin L. Edelman Danilo Francati Daniele Venturi G. Ateniese Boaz Barak WaLM 263 64 0 07 Nov 2023