AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In few-shot industrial anomaly detection, the few normal target images provide no direct defect supervision, making anomaly prompts difficult to learn from these samples alone. Some vision-language methods therefore use manually specified descriptions to supply explicit anomaly semantics. However, constructing these de...
This work proposes Visual Difference DeepStack (VD-DeepStack), which explicitly conditions language reasoning on query-reference visual differences on query-reference visual differences, and supports mitigating the visual comparison-reasoning gap through the joint design of comparison representations and their integrat...
SAGE is an evidence-grounded multi-agent framework that reformulates Chinese ancient document understanding as evidence-grounded inference rather than direct answer generation, highlighting the importance of structured, evidence-grounded inference beyond model scaling.
This paper proposes IterCAD, an iterative framework that reformulates orthographic-view-to-CAD generation as a progressive program repair process that consistently improves code executability and geometric fidelity over strong one-shot baselines.
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