AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The competing-target test is introduced: a vector is compared with the vector built the same way for a competing target, and an equivalence test states when their difference is below a useful margin.
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.
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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