Learned sparse retrieval

New models unify sparse and dense multimodal embeddings, boosting search efficiency

Researchers have introduced UEmbed, a novel decoder-only multimodal embedding model capable of generating both sparse lexical and dense representations within a single causal forward pass. This model aims to unify spars…