WARP: Wasserstein-Aligned RAG for Population Opinions
WARP is introduced, a family of post-retrieval algorithms that calibrate retrieved evidence to the population's opinion distribution, and its domain-matched variants reduce distributional error by at least 43% with sub-second latency.