ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval
ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval
Generative retrieval, a promising new paradigm in information retrieval, employs a seq2seq model to encode document features into parameters and decode relevant document identifiers (IDs) based on search queries. Existing generative retrieval solutions typically rely on a preprocessing stage to pre-define document IDs, which can suffer from a semantic gap …