AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 43 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 work shows that integrating structured abstractions with LLM-guided reasoning enables effective, reliable, and interpretable diagnosis for agent failures, and introduces the concept of neural invariants to specify agent behavior properties.
This work instantiates Feedback-Augmented Self-Distillation (FA-SD), a self-distillation algorithm for agentic search that leverages successful demonstrations as privileged information and identifies that models can rely on recurring reasoning-and-search output templates, producing trajectories that appear diverse but...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.