AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces Scientific Introduction Generation (SciIG), a task that evaluates LLMs'ability to produce coherent introductions from titles, abstracts, and related works, and combines automated metrics with LLM-as-a-judge evaluations.
This work proposes RSF-GLLM, a framework decoupling differentiable graph reasoning from answer generation, and introduces flow sparsity regularization to theoretically guarantee convergence from soft probabilities to discrete reasoning paths.
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