Template Collapse
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Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation
Announce Type: new Abstract: Modern 3D medical vision-language models (VLMs) can generate fluent radiology-style text while exhibit critically low pathology detection and output diversity, collapsing to generic templates that under-report rare yet critical findings. We identify this failure mode as Template Collapse. This failure stems from the unique constraints of 3D medical imaging, e.g., limited data, severe label imbalance, and weak signals from volumetric encoders.
Template Collapse and Information-Theoretic Limits in Camera rPPG Pulse Morphology Restoration
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Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding
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