AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
3 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.
Looped language models apply the same stack of layers T times to each token, which deepens the model without adding parameters but multiplies its key-value (KV) cache by T. The larger cache limits how many sequences a GPU can decode at once and slows each decoding step, which reads the whole cache. We propose Hybrid La...
Belief-Calibrated Optimization is introduced, a method that writes that belief down as a persistent in-context document and continually revises that document as new candidates are evaluated, and reaches a higher train passrate than a matched control that lacks only the world model.
This work introduces the \method (\methodshort), a self-evolving critic framework in which an LLM critic accumulates evidence from its own past judgments and their observed consequences, reducing ECE by up to $54\% relative to the strongest training-free baseline.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.