AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 108 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.
A KL-divergence-driven model fine-tuning and plan updating strategy that dynamically adapts to workload changes is introduced, demonstrating improved scalability and robustness for industrial-scale PQO.
This study observes that sparse attention scores exhibit a score concentration phenomenon, where scores tend to fall within a narrow range, and proposes LITETOPK, an efficient fused Indexer-TopK kernel, which exploits the similarity of top-k candidate sets among neighboring tokens and proposes LITEDSA, which exploits t...
This work introduces TOFFEE, a system for synthesizing high-quality data agent trajectories from given data environments via Monte Carlo Tree Search (MCTS) with adaptive model selection and cross-task prefix reuse, and shows that TOFFEE can effectively generate scalable trajectory data for complex analytical tasks acro...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.