H+ Embedding: Harmonizing Global and Token-Level Retrieval

The preprint proposes H+ Embedding for retrieval, aimed at terminology-intensive medical search. It preserves multi-word entities, abbreviations, numerical constraints, and compositional concepts that single-vector and token-level representations fail to capture.