AINeutralarXiv – CS AI · 7h ago7/10
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Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation
Researchers identify 'Template Collapse' as a critical failure mode in 3D medical imaging AI systems, where vision-language models generate fluent but clinically inaccurate reports that miss rare pathologies. They propose CLarGen, a decoupled framework that separates pathology detection from language generation, achieving significant improvements in clinical accuracy metrics while maintaining report quality.