Nepotistically Trained Generative-AI Models Collapse

20 November 2023

Papers citing "Nepotistically Trained Generative-AI Models Collapse"

9 / 9 papers shown

Title
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? Grgur Kovač Jérémy Perez Rémy Portelas Peter Ford Dominey Pierre-Yves Oudeyer 33 0 0 04 Apr 2025
Position: Model Collapse Does Not Mean What You Think Rylan Schaeffer Joshua Kazdan Alvan Caleb Arulandu Sanmi Koyejo 53 0 0 05 Mar 2025
Intention Is All You Need Advait Sarkar 34 2 0 24 Oct 2024
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 45 11 0 22 Oct 2024
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition Chen Hu Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma FedML 58 0 0 30 Aug 2024
A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions Luca Pappalardo Emanuele Ferragina Salvatore Citraro Giuliano Cornacchia M. Nanni ... D. Gambetta Giovanni Mauro Virginia Morini Valentina Pansanella D. Pedreschi 44 8 0 29 Jun 2024
AI and the Problem of Knowledge Collapse Andrew J. Peterson 38 16 0 04 Apr 2024
On the detection of synthetic images generated by diffusion models Riccardo Corvi D. Cozzolino Giada Zingarini Giovanni Poggi Koki Nagano L. Verdoliva 128 215 0 01 Nov 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018