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Preprint Oct 2026

DocXEval: A Systematic Evaluation of Explainability in Multimodal Document Understanding

Multimodal transformer models have driven unprecedented performance breakthroughs in modern document understanding. However, the inherent black-box nature of these models remains a major obstacle to their safe deployment in high-stakes sectors. Despite significant progress in explainability for vision and language task...

Saifullah Saifullah, David Dembinsky, Stefan Agne et al. · 0 citations
Open access Aug 2026

BAASNet: boundary-aware deep learning for accurate polyp segmentation in colonoscopy

BAASNet, a Boundary-Aware Attention-Based Segmentation framework, is introduced for polyp segmentation and a boundary-aware loss function is integrated to improve performance, particularly in delineating polyp edges.

Khola Naseem, Nabeel Khalid, A. Dengel et al. · 0 citations

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