AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work presents FinFraudBench, a heterogeneous graph benchmark for financial fraud detection, and establishes a standardized evaluation protocol covering both ranking and imbalance-sensitive classification metrics, and evaluates representative baselines.
FinRiskAtlas is introduced, a Chinese-language benchmark that evaluates financial LLMs along two complementary dimensions: operation execution under fixed evidence states and evidence-state control under evolving review conditions, and shows that broad financial capability scores do not fully capture where models are reliable in professional workflows.
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