AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Detailed captions transfer visual information into vision-language model supervision, but quality is easily conflated with length: long single-pass outputs still miss small objects, text, and spatial relations or promote uncertain observations into confident claims. We formulate fine-grained captioning as recoverable v...
GraphFAS (Graph Feature Automated Selection), a distributed feature selection procedure based on Boruta that decouples feature aggregation from model training, enabling direct integration with tabular models and direct compatibility with TreeSHAPbased explanations.
Bole is presented, a kernel--runtime co-design that enables efficient tree speculation for hybrid-attention LLMs and couples efficient state management with a batch-wide verification budget calibrated to the complete hybrid forward.
This work presents \textsc{GTA-RAG}, a graph-trajectory-augmented RL framework for multi-turn retrieval-augmented reasoning that consistently outperforms RL-based RAG baselines with both Qwen2.5-3B and Qwen2.5-7B backbones, while substantially improving evidence-chain coverage.
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