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cs.CV2026
Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology
Ben Vardi, Dana Schonberger, Yuval Friedmann +4
Pathology foundation models (PFMs) have advanced rapidly in recent years and support training classifiers for a range of histopathology tasks. However, their robustness across hosp…
cs.CV2025
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering
Ben Vardi, Oron Nir, Ariel Shamir
Vision-Language Models (VLMs) demonstrate remarkable capabilities in visual understanding and reasoning, such as in Visual Question Answering (VQA), where the model is asked a ques…