AI RESEARCH
DiffVP: Differential Visual Semantic Prompting for LLM-Based CT Report Generation
arXiv CS.CV
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ArXi:2603.17718v1 Announce Type: new While large language models (LLMs) have advanced CT report generation, existing methods typically encode 3D volumes holistically, failing to distinguish informative cues from redundant anatomical background. Inspired by radiological cognitive subtraction, we propose Differential Visual Prompting (DiffVP), which conditions report generation on explicit, high-level semantic scan-to-reference differences rather than solely on absolute visual features.