AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces rubric-based preference reasoning, which uses automated rubrics to guide the model toward producing explicit preference states, and proposes a preference-conditioned optimization to align response generation with dual objectives: user preference satisfaction and situation consistency.
A novel framework, ProAlign-DDI, which integrates a Substructure-Guided Semantic Adaptive Aggregation Module (SAAM) with a Prototype Alignment Module (PAM), which adaptively captures task-relevant features to produce high-quality aggregated representations and employs class-level semantic prototypes to regularize these...
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