Kangxiaoyu

GRO-RAG: Gradient-aware Re-rank Optimization for Multi-source Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) systems often rely on information retrieved from heterogeneous sources to support generation tasks. However, existing approaches typically either aggregate all sources uniformly or statically select a single source, neglecting semantic complementarity. Moreover,…