4 papers
Reliable News or Propagandist News? A Neurosymbolic Model Using Genre, Topic, and Persuasion Techniques to Improve Robustness in Classification
Géraud Faye, Benjamin Icard, Morgane Casanova +6
Among news disorders, propagandist news are particularly insidious, because they tend to mix oriented messages with factual reports intended to look like reliable news. To detect p…
TEGRA: Text Encoding With Graph and Retrieval Augmentation for Misinformation Detection
Géraud Faye, Wassila Ouerdane, Guillaume Gadek +2
Misinformation detection is a critical task that can benefit significantly from the integration of external knowledge, much like manual fact-checking. In this work, we propose a no…
Discovering Interpretable Biological Concepts in Single-cell RNA-seq Foundation Models
Charlotte Claye, Pierre Marschall, Wassila Ouerdane +2
Single-cell RNA-seq foundation models achieve strong performance on downstream tasks but remain black boxes, limiting their utility for biological discovery. Recent work has shown…
DiffGuard: Text-Based Safety Checker for Diffusion Models
Massine El Khader, Elias Al Bouzidi, Abdellah Oumida +6
Recent advances in Diffusion Models have enabled the generation of images from text, with powerful closed-source models like DALL-E and Midjourney leading the way. However, open-so…