How Adaptive Semantic IDs Enable Precise and Generalizable Generative Retrieval
The article introduces the SA²CRQ framework, which adaptively allocates semantic ID length and transfers residual knowledge to resolve head‑item ID collisions and tail‑item generalization gaps in large‑scale e‑commerce generative retrieval, achieving stable gains on both industrial and public datasets.
