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Generating Leakage-Free Benchmarks for Robust RAG Evaluation

arXiv cs.CL · 2026-05-12 Cached

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.

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