AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 6 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.
Results show that selective anti-interference is an effective objective-level signal for robust context use and identifies locally sufficient tokens and sharply reduces prefix sensitivity on gate-selected suffix tokens.
GapSight is proposed, a framework for learning visual re-reading: a VLM first takes a global glance, then selectively returns to a free-form region when the question calls for local evidence, and Mechanism analyses show that the router rescues concrete wrong answers, adapts its action rate by task, and forms a favorabl...
ExACT, a supervision-allocation objective that assigns extra weight to long effective-context targets by inverse frequency within the long tail, supports a supervision-centric thesis: long-context adaptation depends on how strongly training supervises long-context predictions.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.