AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Nanyang Technological University (NTU), Singapore
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Domain-Normalized MOPD is proposed, which keeps the routing and rescales each domain's feedback by its measured spread, and improves the average score over MOPD at every size, across three random seeds and under two answer-length limits, and recovers most of the lost mathematics gain.
In-Context Signal Completion (ICSC) is presented, demonstrating that small language models fine-tuned with Group Relative Policy Optimization and physics-informed rewards can reconstruct RSSI across sequential extrapolation and spatial interpolation tasks.
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