AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results show the value of structured selection for globally controlled dialogue generation, while the empirical validation remains specific to role-playing scenarios.
JOR-Bench is a solver-independent benchmark that can be used with any solver or programming language, and consists of pairs of Japanese problem statements and expected numerical answers, which show that OR formulation ability is largely language-neutral for strong multilingual models.
Reasoning Language Models (RLMs) achieve their strongest performance when they reason in English, the language for which reasoning-oriented training data is most abundant. However, reasoning trace is a clue for model interpretability and safety, and useful in practice for both the model users and for model developers....
We present the orienteering problem with uncertain time-varying rewards (OP-UTVR), a novel variant of the orienteering problem (OP). While most existing OP formulations assume rewards to be known in advance, practical applications involve uncertain and time-varying rewards, as with shifting customer demand for delivery...
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