3 papers
cs.CL2026
From Native Memes to Global Moderation: Cross-Cultural Evaluation of Vision-Language Models for Hateful Meme Detection
Mo Wang, Kaixuan Ren, Pratik Jalan +5
Cultural context profoundly shapes how people interpret online content, yet vision-language models (VLMs) remain predominantly trained through Western or English-centric lenses. Th…
cs.CV2026
RadJEPA: Radiology Encoder for Chest X-Rays via Joint Embedding Predictive Architecture
Anas Anwarul Haq Khan, Mariam Husain, Pratik Jalan +1
Vision-language pretraining has driven progress in medical image representation learning, but it depends on paired image-text data and can inherit reporting bias from clinical narr…
cs.CL2025
XGUARD: A Graded Benchmark for Evaluating Safety Failures of Large Language Models on Extremist Content
Vadivel Abishethvarman, Bhavik Chandna, Pratik Jalan +1
Large Language Models (LLMs) can generate content spanning ideological rhetoric to explicit instructions for violence. However, existing safety evaluations often rely on simplistic…