AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 11 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 proposes Pairwise Witness Local Rejection (PWLR), which uses an MLLM offline to describe visible local cues that favor one ID class over a specific rival class, and consistently improves strong vision-language baselines across multiple backbones.
TruthLens is a self-evaluation framework that teaches the LM head to expose a per-object truthfulness signal without any auxiliary model or additional inference cost, and generalizes effectively to benchmarks with substantially larger label spaces.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.