Hugging Face Trending Papers July 26, 2026

PathSelect: Sequential Token Selection for Whole Slide Pathology

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Gigapixel Whole-Slide Images (WSIs) present a fundamental computational bottleneck for vision-language models (VLMs) due to extreme sequence lengths. Existing approaches predominantly rely on spatial sampling or training-free pruning, which risk diluting weak but informative signals, leading to the loss of critical diagnostic evidence due to the spatially diffuse nature of pathological cues.

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arXiv Computation and Language

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SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models

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