3 papers
cs.CL2024
Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models
Daniele Gambetta, Gizem Gezici, Fosca Giannotti +3
As AI-generated content increasingly populates the web, generative AI models are at growing risk of being trained on their own outputs, a process known as AI autophagy. This feedba…
cs.IR2024
A survey on the impacts of recommender systems on users, items, and human-AI ecosystems
Luca Pappalardo, Salvatore Citraro, Giuliano Cornacchia +12
Recommendation systems and assistants (in short, recommenders) influence through online platforms most actions of our daily lives, suggesting items or providing solutions based on…
physics.soc-ph2023
Mobility constraints in segregation models
Daniele Gambetta, Giovanni Mauro, Luca Pappalardo
Since the development of the original Schelling model of urban segregation, several enhancements have been proposed, but none have considered the impact of mobility constraints on…