AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Privileged Hindsight Distillation (PHD) is introduced, which uses later-emerging scientific evidence during training to improve proposal-time criterion assessment and the population mapping, while exposing only proposal-visible information at inference.
This work proposes AI Mathematician (AIM) framework, which harnesses the reasoning strength of LRMs to support frontier mathematical research and highlights the potential of LRMs in mathematical discovery and suggests that LRM-based agent systems could significantly accelerate mathematical research in the future.
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