AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
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.
DUALLM, a dual-method pipeline that integrates two approaches based on a Large Language Model (LLM) and a fine-tuned small language model, achieves 87.4% accuracy and an F1-score of 0.875, significantly outperforming prior solutions.
SyzHarness is a framework that combines LLM reasoning with coverage-guided fuzzing for patch-based Linux kernel vulnerability reproduction and achieves a 73% bug reproduction success rate, substantially outperforming prior directed greybox fuzzing.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.