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.
These findings establish articulated rationales as a useful complement to behavioral and content signals, and demonstrate a practical role for MLLMs in scaling sparse human explanations into preference information that improves industrial recommendation.
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