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"

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Title
Information Retrieval in the Age of Generative AI: The RGB Model M. Garetto Alessandro Cornacchia Franco Galante Emilio Leonardi A. Nordio A. Tarable 161 0 0 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 61 0 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 35 0 0 04 Apr 2025
Position: Model Collapse Does Not Mean What You Think Rylan Schaeffer Joshua Kazdan Alvan Caleb Arulandu Sanmi Koyejo 71 0 0 05 Mar 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 53 1 0 26 Feb 2025
The Best Instruction-Tuning Data are Those That Fit Dylan Zhang Qirun Dai Hao Peng ALM 117 4 0 06 Feb 2025
Rate of Model Collapse in Recursive Training A. Suresh A. Thangaraj Aditya Nanda Kishore Khandavally SyDa 27 5 0 23 Dec 2024
Universality of the $π^2/6$ Pathway in Avoiding Model Collapse Apratim Dey D. Donoho 58 5 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 53 11 0 22 Oct 2024
Strong Model Collapse Elvis Dohmatob Yunzhen Feng Arjun Subramonian Julia Kempe 28 10 0 07 Oct 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 48 9 0 29 Jun 2024
How Stable is Stable Diffusion under Recursive InPainting (RIP)? Javier Conde Miguel González Gonzalo Martínez Fernando Moral Elena Merino-Gómez Pedro Reviriego DiffM 42 3 0 27 Jun 2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation Sumukh K. Aithal Pratyush Maini Zachary Chase Lipton J. Zico Kolter DiffM 40 19 0 13 Jun 2024
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement Yunzhen Feng Elvis Dohmatob Pu Yang Francois Charton Julia Kempe 53 17 0 11 Jun 2024
Sociotechnical Implications of Generative Artificial Intelligence for Information Access Bhaskar Mitra Henriette Cramer Olya Gurevich 50 2 0 19 May 2024
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention Cedric Deslandes Whitney Justin Norman 29 16 0 03 May 2024
Heat Death of Generative Models in Closed-Loop Learning Matteo Marchi Stefano Soatto Pratik Chaudhari Paulo Tabuada SyDa VLM AI4CE 33 14 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 34 54 0 01 Apr 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias Sierra Wyllie Ilia Shumailov Nicolas Papernot 48 25 0 12 Mar 2024
Generative AI and Copyright: A Dynamic Perspective S. A. Yang Angela Huyue Zhang 16 3 0 27 Feb 2024
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu Sen Zhang Yingjie Wang Xinmei Tian Dacheng Tao 36 9 0 19 Feb 2024
Model Collapse Demystified: The Case of Regression Elvis Dohmatob Yunzhen Feng Julia Kempe 39 32 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 Tingyang Xu Xueqian Wang Peilin Zhao 65 14 0 12 Feb 2024
Beware of Words: Evaluating the Lexical Richness of Conversational Large Language Models Gonzalo Martínez José Alberto Hernández Javier Conde Pedro Reviriego Elena Merino-Gómez 21 7 0 11 Feb 2024
Self-Correcting Self-Consuming Loops for Generative Model Training Nate Gillman Michael Freeman Daksh Aggarwal Chia-Hong Hsu Calvin Luo Yonglong Tian Chen Sun 41 13 0 11 Feb 2024
A Tale of Tails: Model Collapse as a Change of Scaling Laws Elvis Dohmatob Yunzhen Feng Pu Yang Francois Charton Julia Kempe 29 66 0 10 Feb 2024
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models Alan Chan Ben Bucknall Herbie Bradley David M. Krueger 14 6 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 35 55 0 28 Nov 2023
Nepotistically Trained Generative-AI Models Collapse Matyáš Boháček Hany Farid 51 18 0 20 Nov 2023
Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models Gonzalo Martínez Javier Conde Elena Merino-Gómez Beatriz Bermúdez-Margaretto José Alberto Hernández Pedro Reviriego Marc Brysbaert ELM 25 1 0 23 Oct 2023
On the Stability of Iterative Retraining of Generative Models on their own Data Quentin Bertrand A. Bose Alexandre Duplessis Marco Jiralerspong Gauthier Gidel 30 43 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 17 5 0 28 Sep 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 21 141 0 04 Jul 2023
Human-AI Coevolution D. Pedreschi Luca Pappalardo Emanuele Ferragina R. Baeza-Yates Albert-László Barabási ... Paul Lukowicz A. Passarella Alex Pentland John Shawe-Taylor Alessandro Vespignani 41 14 0 23 Jun 2023