LEAD: Layer-wise Expert-aligned Decoding for Faithful Radiology Report Generation
LEAD is a framework that fixes hallucinations in radiology report generation by injecting visual expert signals into every layer of a Large Vision-Language Model during decoding. It treats the LLM like a student consulting visual experts, using context-aware gates to adaptively blend expert knowledge with the model's current text generation step, ensuring factual consistency.