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News/Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation
arxiv
PublishedOctober 19, 2026 at 4:00 AM

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

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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 constraint limits bidirectional informat

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