RadOT-Eval: Auditable Structured-Evidence Transport for Radiology Report Evaluation 事件

RadOT-Eval: Auditable Structured-Evidence Transport for Radiology Report Evaluation arXiv:2606.08769v1 Announce Type: cross Abstract: Automatic evaluation is critical for high-stakes text generation, where errors often involve omitted findings, hallucinated content, polarity reversals, location changes, uncertainty mismatches, and temporal-comparison errors rather than low surface similarity alone. Radiology report generation provides a challenging test case because generated reports must prese