AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 5 of 17 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.
Autonomous research agents must acquire and reason over evidence within a limited budget. Yet relevant sources can remain uninspected or unused, leaving a gap between retrieval coverage and the evidence that informs research. The challenge is to align fast local judgments with changing evidence needs and feed their fin...
This work formalizes an attack space and evaluates representative OS defenses using four agent workloads and a Linux telemetry pipeline and shows that the main limitation is not OS observability.
DiG-bench (Discovery in Games) is released, a new benchmark for discovering new knowledge with experimentation in controlled environments where the objective is unknown, which provides games at seven tiers of difficulty for AI agents.
This survey frames modern self-improving agents as adaptive systems that convert experience into accumulated capability gains, and offers a system-level framework that represents a modern agent as a configuration coupling a foundation model with an operational scaffold of prompts, memory, tools, and control logic.
This work introduces Tabular Synthesis Strategy Designer, which uses an LLM to design synthesis procedures rather than directly generate records, and provides the LLM with tree-derived summaries of variable dependence rather than raw records, which produces Python programs for local execution and evaluation.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.