LePaX enables high-resolution chest X-ray report generation by learning to allocate resolution to diagnostically relevant regions and fusing high-res patches back into global features without increasing token count.
Transactions on Machine Learning Research (2024)
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Layer-wise Sink Gating scales vision and LLM attention sinks in LVLMs to balance global priors and local evidence, improving multimodal benchmarks with a frozen backbone.
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Seeing What Matters: Lesion-Aware High-Resolution Patch Discovery and Fusion for Chest X-ray Report Generation
LePaX enables high-resolution chest X-ray report generation by learning to allocate resolution to diagnostically relevant regions and fusing high-res patches back into global features without increasing token count.
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When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models
Layer-wise Sink Gating scales vision and LLM attention sinks in LVLMs to balance global priors and local evidence, improving multimodal benchmarks with a frozen backbone.