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.
OmniConfess is introduced, a training-free method for mitigating omni-modal hallucinations that fixes a candidate response and re-scores it at token resolution under controlled channel-wise evidence interventions, producing a structured token-by-channel confession that reveals the response's evidential dependence.
This work proposes HyperReCo, a framework for retrieving and connecting evidence with a hypergraph neural network (HyperGNN), and introduces Gradient-Guided Hyper-Path Decoding (GGHD), which uses gradient attribution to interpret the learned interactions and translate them into explicit hyper-paths that help LLMs combi...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.