AI RESEARCH
Multi-Step Semantic Reasoning in Generative Retrieval
arXiv CS.CL
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ArXi:2603.12368v1 Announce Type: cross Generative retrieval (GR) models encode a corpus within model parameters and generate relevant document identifiers directly for a given query. While this paradigm shows promise in retrieval tasks, existing GR models struggle with complex queries in numerical contexts, such as those involving semantic reasoning over financial reports, due to limited reasoning capabilities. This limitation leads to suboptimal retrieval accuracy and hinders practical applicability.