AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results show that successful task completion can coexist with unauthorized post-hoc disclosure and motivate host-controlled authorization for secondary tool calls and motivate host-controlled authorization for secondary tool calls.
Extensive experiments demonstrate that UP enhances exploration capacity and achieves superior reasoning accuracy across diverse RL algorithms (DAPO, GSPO, and GRPO), model architectures, and training modalities, validating UP as a truly universal plug-and-play enhancement for RL-based training.
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