3 papers
cs.CV2026
CLIP-Free, Label Free, Unsupervised Concept Bottleneck Models
Fawaz Sammani, Jonas Fischer, Nikos Deligiannis
Concept Bottleneck Models (CBMs) map dense feature representations into human-interpretable concepts which are then combined linearly to make a prediction. However, modern CBMs rel…
cs.CV2026
Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
Ada Gorgun, Fawaz Sammani, Nikos Deligiannis +2
Diffusion models are usually evaluated by their final outputs, gradually denoising random noise into meaningful images. Yet, generation unfolds along a trajectory, and analyzing th…
cs.CL2026
Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark
Yu Wu, Ke Shu, Jonas Fischer +4
This paper presents a novel task of extracting low-resourced and noisy Latin fragments from mixed-language historical documents with varied layouts. We benchmark and evaluate the p…