From the 1 of 15 linked papers with an AI index.
15 papers
Scaling Vision-Language Models Is Not Enough to Mitigate Bias
Ioannis Sarridis, Ioannis Kompatsiaris, Symeon Papadopoulos
The paper empirically evaluates 194 vision‑language models to see how model size, training data, and architecture affect bias, finding that larger models do not consistently reduce…
Face Age Verification Vulnerabilities Under Simple Appearance Manipulations
Ioannis Sarridis, Ioannis Kompatsiaris, Symeon Papadopoulos
Online platforms increasingly rely on automated age estimation systems to enforce minimum-age policies. Focusing on vision-based models designed for this task, concerns arise regar…
MeVer at CheckThat! 2026: Cluster-Aware Hard-Negative Mining for Multilingual Scientific Source Retrieval
Juli Bakagianni, Symeon Papadopoulos
Identifying the scientific source behind a social media claim requires matching short, informal, and often multilingual claims against large collections of scientific publications,…
Evidence Triangulation for Multimodal Fact-Checking in the Wild
Stefanos-Iordanis Papadopoulos, Zacharias Chrysidis, Christos Koutlis +2
The proliferation of multimedia content on social platforms has fueled multimodal misinformation, where images are used to reinforce false claims. Consequently, Multimodal Fact-Che…
The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation
Zacharias Chrysidis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos
As generative AI advances, the distinction between authentic and synthetic media is increasingly blurred, challenging the integrity of online information. In this study, we present…
Latent Reconstruction from Generated Data for Multimodal Misinformation Detection
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1
Multimodal misinformation, such as miscaptioned images, where captions misrepresent an image's origin, context, or meaning, poses a growing challenge in the digital age. Due to the…