AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 10 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.
GNN-based Knowledge Graph Question Answering (KGQA) pipelines process queries through four discrete stages: entity linking, subgraph retrieval, GNN reasoning, and answer generation. Standard robustness evaluations conflate stage-level failures into a single end-to-end metric, obscuring both the source of brittleness an...
KV-cache eviction can do more than compress. In long-context LLMs, keeping only some cached tokens sometimes matches or exceeds full-cache accuracy, because many redundant prefill tokens otherwise dilute attention away from the tokens that carry the answer. This benefit is not uniform, and evicting the wrong tokens can...
This work attacks the alignment layer, the component that separates a graph foundation model from a graph neural network, and shows it is a distinct attack surface that prior work has not studied.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.