4 papers
When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents
Virginie Mouilleron, Théo Lasnier, Anna Mosolova +1
Vision-language models (VLMs) perform well on many document understanding tasks, yet their reliability in specialized, non-English domains remains underexplored. This gap is especi…
Multilingual, Multimodal Pipeline for Creating Authentic and Structured Fact-Checked Claim Dataset
Z. Melce Hüsünbeyi, Virginie Mouilleron, Leonie Uhling +3
The rapid proliferation of misinformation across online platforms underscores the urgent need for robust, up-to-date, explainable, and multilingual fact-checking resources. However…
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection
Arij Riabi, Virginie Mouilleron, Menel Mahamdi +2
The proliferation of radical content on online platforms poses significant risks, including inciting violence and spreading extremist ideologies. Despite ongoing research, existing…
Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks
Arij Riabi, Menel Mahamdi, Virginie Mouilleron +1
Protecting privacy is essential when sharing data, particularly in the case of an online radicalization dataset that may contain personal information. In this paper, we explore the…