208 citations
- Centre National de la Recherche ScientifiqueFR9 papers
- Courant Institute of Mathematical SciencesUS3 papers
- Institut des Systèmes Complexes Paris Île-de-FranceFR3 papers
- Laboratoire Matière et Systèmes ComplexesFR3 papers
- New York UniversityUS3 papers
- Pennsylvania State UniversityUS3 papers
- Centre de recherches sociologiques et politiques de ParisFR2 papers
- Centre de recherche sur les Inégalités SocialesFR2 papers
- CEPS/INSTEADLU2 papers
- École Normale Supérieure de LyonFR2 papers
- École PolytechniqueFR2 papers
- Eindhoven University of TechnologyNL2 papers
32 papers
Computational free will as global selection: from sheaf-theoretic gluing to a conditional separation of P and NP
Jerome Clech
We formalise computational free will by separating locally constrained admissibility from the selection of one global continuation. Global sections of a finite choice presheaf form…
Web Crawler Restrictions, AI Training Datasets \& Political Biases
Paul Bouchaud, Pedro Ramaciotti
Large language models rely on web-scraped text for training; concurrently, content creators are increasingly blocking AI crawlers to retain control over their data. We analyze craw…
An Incremental Clustering Baseline for Event Detection on Twitter
Marjolaine Ray, Qi Wang, Frédérique Mélanie-Becquet +2
Event detection in text streams is a crucial task for the analysis of online media and social networks. One of the current challenges in this field is establishing a performance st…
Towards Transparency: Exploring LLM Trainings Datasets through Visual Topic Modeling and Semantic Frame
Charles de Dampierre, Andrei Mogoutov, Nicolas Baumard
LLMs are now responsible for making many decisions on behalf of humans: from answering questions to classifying things, they have become an important part of everyday life. While c…
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
Hilde Weerts, Raphaële Xenidis, Fabien Tarissan +2
Various metrics and interventions have been developed to identify and mitigate unfair outputs of machine learning systems. While individuals and organizations have an obligation to…
Modelling pyro-convection phenomenon during a mega-fire event in Portugal
Cátia Campos, Flavio Tiago Couto, Jean-Baptiste Filippi +2
The present study contributes to an increased understanding of pyro-convection phenomena by using a fire-atmosphere coupled simulation, and investigates in detail the large-scale m…