Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation.

arXiv:2610.22400v1 Announce Type: new Abstract: Existing large language model (LLM)-based user encoders serialize heterogeneous behavioral logs and compress them into static representations through autoregressive (AR) prediction. However, their unidirectional