AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Real-world documents distribute evidence across text, tables, figures, and captions within complex page layouts. Answering complex questions over such documents therefore requires more than retrieving relevant passages: systems must recover the evidence topology that connects heterogeneous evidence units. Existing Grap...
Synthetic clinical data generation with large language models addresses the scarcity that limits cancer staging research, but oncology hallucinations are categorically harmful: one clinically impossible staging assignment contaminates every downstream model trained on it. Neuro-symbolic pipelines validate during genera...
This study finds that existing MCN benchmarks present data quality issues and underexplored data fusion potential, and data quality enhancement and LLM-based controlled-variety data augmentation help alleviate overlapping phrases and long-tail issues.
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