AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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StemBind reframes AVR evaluation from final-answer ranking to locating where abstract visual reasoning breaks down, identifying rule-to-instance binding as a concrete next target for vision-grounded reasoning.
Multi-Teacher Self-Distillation Policy Optimization is introduced, an on-policy distillation method that unifies several frozen teachers into one student model and lifts the weakest domain of Qwen3-8B by 14.79 points and narrows its domain gap by 74.7%, a better balance than serving one matched teacher per domain.
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