Dani et al. investigate the potential and limitation of large language models in a core clinical task in epilepsy care: mapping seizure descriptions to seizure onset zones. Their findings show that pr...

Vision-language models (VLMs), such as CLIP and SigLIP, have found remarkable success in classification, retrieval, and generative tasks. For this, VLMs deterministically map images and text descripti...

Explainable Machine Learning Munich

Modern vision-based language models face challenges with complex physical interactions, causal reasoning and intuitive psychology. Schulze Buschoff and colleagues demonstrate that while some models ex...