Learnable sparsification framework compresses WSI visual tokens to 32 (0.78% of original) via SparseLearn, achieving 73.32% accuracy on SlideBench (TCGA) and outperforming baselines.
Zerosense: How vision matters in long context compression.arXiv preprint arXiv:2603.11846
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DiffPrune reformulates visual token pruning as continuous control of token information using an Information Throttler with importance-conditioned variance-preserving noise, enabling fully differentiable learning of scores that are hard-thresholded at inference.
LensVLM trains VLMs to scan compressed rendered text images and selectively expand task-relevant regions, achieving 4.3x compression with near full-text accuracy and outperforming baselines up to 10.1x on text QA benchmarks.
A unified transformer performs four clinical tasks on chest X-rays and generates reports rated comparable to human ones in 66% of cases by radiologists.
citing papers explorer
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Learnable Token Sparsification for Efficient Gigapixel Whole Slide Image Reasoning
Learnable sparsification framework compresses WSI visual tokens to 32 (0.78% of original) via SparseLearn, achieving 73.32% accuracy on SlideBench (TCGA) and outperforming baselines.
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Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models
DiffPrune reformulates visual token pruning as continuous control of token information using an Information Throttler with importance-conditioned variance-preserving noise, enabling fully differentiable learning of scores that are hard-thresholded at inference.
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LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
LensVLM trains VLMs to scan compressed rendered text images and selectively expand task-relevant regions, achieving 4.3x compression with near full-text accuracy and outperforming baselines up to 10.1x on text QA benchmarks.
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A unified multi-task framework enables interpretable chest radiograph analysis
A unified transformer performs four clinical tasks on chest X-rays and generates reports rated comparable to human ones in 66% of cases by radiologists.