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Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet
8 June 2023
Gonzalo Martínez
Lauren Watson
Pedro Reviriego
José Alberto Hernández
Marc Juárez
Rik Sarkar
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Papers citing
"Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet"
40 / 40 papers shown
Why Less is More (Sometimes): A Theory of Data Curation
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Mohammad Pezeshki
Reyhane Askari Hemmat
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Deep Generative Continual Learning using Functional LoRA: FunLoRA
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Hichem Sahbi
237
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03 Oct 2025
Review of Hallucination Understanding in Large Language and Vision Models
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Siyuan Liang
D. Tao
VLM
LRM
141
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26 Sep 2025
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Anvit Garg
Sohom Bhattacharya
Pragya Sur
105
1
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26 Sep 2025
What happens when generative AI models train recursively on each others' outputs?
Hung Ahn Vu
Galen Reeves
Emily Wenger
373
0
0
27 May 2025
Information Retrieval in the Age of Generative AI: The RGB Model
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
M. Garetto
Alessandro Cornacchia
Franco Galante
Emilio Leonardi
A. Nordio
A. Tarable
860
2
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29 Apr 2025
How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses
Leo Leppanen
Lili Aunimo
Arto Hellas
Jukka K. Nurminen
Linda Mannila
DeLMO
190
4
0
17 Apr 2025
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
529
1
0
04 Apr 2025
Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysis
International Conference on Multimodal Interaction (ICMI), 2025
Chris Brogly
Connor McElroy
KELM
180
3
0
31 Mar 2025
Position: Model Collapse Does Not Mean What You Think
Rylan Schaeffer
Joshua Kazdan
Alvan Caleb Arulandu
Sanmi Koyejo
744
20
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05 Mar 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
International Conference on Learning Representations (ICLR), 2025
Shi Fu
Yingjie Wang
Yuzhu Chen
Xinmei Tian
Dacheng Tao
375
8
0
26 Feb 2025
The Best Instruction-Tuning Data are Those That Fit
Dylan Zhang
Qirun Dai
Hao Peng
ALM
572
21
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06 Feb 2025
Rate of Model Collapse in Recursive Training
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
A. Suresh
A. Thangaraj
Aditya Nanda Kishore Khandavally
SyDa
212
11
0
23 Dec 2024
Dealing with Synthetic Data Contamination in Online Continual Learning
Neural Information Processing Systems (NeurIPS), 2024
Maorong Wang
Nicolas Michel
Jiafeng Mao
Toshihiko Yamasaki
279
3
0
21 Nov 2024
Universality of the
π
2
/
6
π^2/6
π
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/6
Pathway in Avoiding Model Collapse
Apratim Dey
D. Donoho
309
15
0
30 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
612
36
0
22 Oct 2024
Strong Model Collapse
International Conference on Learning Representations (ICLR), 2024
Elvis Dohmatob
Yunzhen Feng
Arjun Subramonian
Julia Kempe
282
38
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07 Oct 2024
A survey on the impacts of recommender systems on users, items, and human-AI ecosystems
Luca Pappalardo
Emanuele Ferragina
Salvatore Citraro
Giuliano Cornacchia
M. Nanni
...
Gabriele Barlacchi
Virginia Morini
Valentina Pansanella
D. Pedreschi
Emanuele Ferragina
266
16
0
29 Jun 2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K. Aithal
Pratyush Maini
Zachary Chase Lipton
J. Zico Kolter
DiffM
379
62
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13 Jun 2024
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement
Yunzhen Feng
Elvis Dohmatob
Pu Yang
Francois Charton
Julia Kempe
245
17
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11 Jun 2024
Sociotechnical Implications of Generative Artificial Intelligence for Information Access
Bhaskar Mitra
Henriette Cramer
Olya Gurevich
297
10
0
19 May 2024
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
Conference on Fairness, Accountability and Transparency (FAccT), 2024
Cedric Deslandes Whitney
Justin Norman
226
46
0
03 May 2024
Heat Death of Generative Models in Closed-Loop Learning
IEEE Conference on Decision and Control (CDC), 2024
Matteo Marchi
Stefano Soatto
Pratik Chaudhari
Paulo Tabuada
SyDa
VLM
AI4CE
202
25
0
02 Apr 2024
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
Matthias Gerstgrasser
Rylan Schaeffer
Apratim Dey
Rafael Rafailov
Henry Sleight
...
Andrey Gromov
Daniel A. Roberts
Diyi Yang
D. Donoho
Oluwasanmi Koyejo
315
105
0
01 Apr 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias
Conference on Fairness, Accountability and Transparency (FAccT), 2024
Sierra Wyllie
Ilia Shumailov
Nicolas Papernot
238
52
0
12 Mar 2024
Generative AI and Copyright: A Dynamic Perspective
S. A. Yang
Angela Huyue Zhang
127
9
0
27 Feb 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
Shi Fu
Sen Zhang
Yingjie Wang
Xinmei Tian
Dacheng Tao
295
21
0
19 Feb 2024
Model Collapse Demystified: The Case of Regression
Elvis Dohmatob
Yunzhen Feng
Julia Kempe
360
60
0
12 Feb 2024
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping
Haoyu Wang
Guozheng Ma
Ziqiao Meng
Zeyu Qin
Li Shen
...
Liu Liu
Yatao Bian
Qifeng Bai
Xueqian Wang
Peilin Zhao
271
18
0
12 Feb 2024
Beware of Words: Evaluating the Lexical Richness of Conversational Large Language Models
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Gonzalo Martínez
José Alberto Hernández
Javier Conde
Pedro Reviriego
Elena Merino-Gómez
173
2
0
11 Feb 2024
Self-Correcting Self-Consuming Loops for Generative Model Training
International Conference on Machine Learning (ICML), 2024
Nate Gillman
Michael Freeman
Daksh Aggarwal
Chia-Hong Hsu
Calvin Luo
Yonglong Tian
Chen Sun
348
23
0
11 Feb 2024
A Tale of Tails: Model Collapse as a Change of Scaling Laws
International Conference on Machine Learning (ICML), 2024
Elvis Dohmatob
Yunzhen Feng
Pu Yang
Francois Charton
Julia Kempe
320
107
0
10 Feb 2024
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models
Alan Chan
Ben Bucknall
Herbie Bradley
David M. Krueger
248
7
0
22 Dec 2023
Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Martin Briesch
Dominik Sobania
Franz Rothlauf
349
79
0
28 Nov 2023
Nepotistically Trained Generative-AI Models Collapse
Matyáš Boháček
Hany Farid
333
27
0
20 Nov 2023
Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models
PLoS ONE (PLoS ONE), 2023
Gonzalo Martínez
Javier Conde
Elena Merino-Gómez
Beatriz Bermúdez-Margaretto
José Alberto Hernández
Pedro Reviriego
Marc Brysbaert
ELM
198
4
0
23 Oct 2023
On the Stability of Iterative Retraining of Generative Models on their own Data
International Conference on Learning Representations (ICLR), 2023
Quentin Bertrand
A. Bose
Alexandre Duplessis
Marco Jiralerspong
Gauthier Gidel
705
75
0
30 Sep 2023
How many words does ChatGPT know? The answer is ChatWords
Gonzalo Martínez
Javier Conde
Pedro Reviriego
Elena Merino-Gómez
José Alberto Hernández
Fabrizio Lombardi
AI4MH
107
8
0
28 Sep 2023
Self-Consuming Generative Models Go MAD
International Conference on Learning Representations (ICLR), 2023
Sina Alemohammad
Josue Casco-Rodriguez
Lorenzo Luzi
Ahmed Imtiaz Humayun
Hossein Babaei
Daniel LeJeune
Ali Siahkoohi
Richard G. Baraniuk
WIGM
299
230
0
04 Jul 2023
Human-AI Coevolution
Artificial Intelligence (AIJ), 2023
D. Pedreschi
Luca Pappalardo
Emanuele Ferragina
R. Baeza-Yates
Albert-László Barabási
...
Paul Lukowicz
A. Passarella
Alex Pentland
John Shawe-Taylor
Alessandro Vespignani
308
49
0
23 Jun 2023
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