Embedding Subspace Partitioning for Dynamic Multi-Objective Retrieval
Embedding Subspace Partitioning (ESP) is proposed, a retrieval framework that decomposes the embedding into task-aware subspaces and replaces the single dot product with a weighted sum of per-subspace similarities, whose weights are tunable at serving time.