Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation
This work proposes FINDERS (FactorIzatioN of Diffusion statEs for Routing across Scenarios), a router-equipped dLLM framework comprising four operations: denoise, factorize, route, and compress that effectively pushes the boundaries of dLLMs beyond language generation, demonstrating their immense potential as powerful...