Graph-Supervised Hierarchical Clinical Alignment for Radiology Report Generation with Large Language Models

Radiology report generation (RRG) has recently benefited from large language models, which substantially improve report fluency. However, clinically faithful generation remains challenging because current supervision is still imposed mostly at the report level. This creates a granularity mismatch: r