3 papers
cs.CR2026
Fetch Me If You Can: A Comprehensive Analysis of Fetch Metadata
Pedro Bernardo, Alex Ploner, Marco Squarcina +2
Effective server-side defenses against cross-site attacks depend on understanding the context in which browser requests are generated. However, servers often lack the information n…
cs.CL2026
Toward Cross-Lingual Quality Classifiers for Multilingual Pretraining Data Selection
Yassine Turki, Vinko Sabolčec, Bettina Messmer +1
As Large Language Models (LLMs) scale, data curation has shifted from maximizing volume to optimizing the signal-to-noise ratio by performing quality filtering. However, for many l…
cs.LG2023
Dissecting Causal Biases
Rūta Binkytė, Sami Zhioua, Yassine Turki
Accurately measuring discrimination in machine learning-based automated decision systems is required to address the vital issue of fairness between subpopulations and/or individual…