AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a case-specific dynamic rubric framework that adaptively constructs MQM evaluation spaces for individual translation instances while dynamically selecting suitable subtype spaces and evaluation granularity for different cases.
RP-OPSD, Reasoning-Pivot-guided On-Policy Self-Distillation is proposed, using the distributional shift between matched teacher views with and without an English reference solution as an operational proxy to guide privileged distillation and reference anchoring.
This paper proposes a simple two-stage training framework that enables the mutually boosting of implicit (layer-wise) and explicit (token-wise) reasoning capabilities, and provides evidence for the mutually boosting between implicit and explicit reasoning.
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