AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 29 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This paper studies the benefit related to interactions among activated nodes and proposes a new problem named discount allocation for benefit maximization, where a few selected users are offered with discounts and hope that they promote this influence to their friends so as to maximize the benefit between all influence...
Differentiable Hierarchical Fusion is presented, a novel framework that merges reasoning models with efficient base models via differentiable optimization to produce concise, accurate outputs and introduces a dual-factor adaptive weighting mechanism to capture intra-block variance and inter-block importance hierarchies...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.