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2311.12202
Cited By
Nepotistically Trained Generative-AI Models Collapse
20 November 2023
Matyáš Boháček
Hany Farid
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ArXiv
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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
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