AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LLM-based multi-agent systems (MAS) increasingly use latent collaboration to avoid the information loss and repeated encoding-decoding overhead of natural-language communication. However, directly forwarding all sender latents makes the receiver-side context scale with both the number of agents and the reasoning length...
This work proposes the first framework to equip a single compact judge with multi-agent panel deliberation capability at single-model inference cost, and introduces AdaReward, an adaptive multi-reward RL algorithm that dynamically rebalances reward component weights as different objectives saturate at different rates d...
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