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cs.AI2026
Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation
Junru Zhang, Jinyong Wen, Bin Dou +5
Existing large language model (LLM)-based user encoders serialize heterogeneous behavioral logs and compress them into static representations through autoregressive (AR) prediction…
cs.IR2026
Towards a Densing Law for User Representation Learning at Billion-Scale Capacity
Bin Dou, Junru Zhang, Zhaoyi Yuan +6
User representation learning in real-world industrial scenarios is commonly scaled by increasing user amount, behavioral sequence length and model size. However, existing methods f…