AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Value-guided decoding is proposed, named RGD, a controllable decoding framework for industrial value-oriented generative recommendation that deriving a closed-form reward guided decoding distribution that principledly combines generation probability with reward signals.
This work proposes UniR, a decoder-only Transformer that unifies Generative and Multi-Objective ranking within a single heterogeneous sequence comprising user context, SID trajectory, and item features, validating the practicality of unified model in large-scale recommendation systems.
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