Relevance-Guided Residual Calibration for Spectral Compression of Dense Retrieval Embeddings

Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas

Spectral compression reduces the storage and scoring costs of dense retrieval by projecting embeddings onto a smaller principal subspace. However, its corpus-derived weighting rule…