Tag
This paper introduces SeedRG, a semi-synthetic benchmark generation pipeline designed to eliminate knowledge leakage in Retrieval-Augmented Generation (RAG) evaluation by creating novel examples that preserve reasoning structures but are absent from model parametric memory.