AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Hyper-RED: Scalable Event Pre-training via Semantic Hypergraph Distillation
A hypergraph relational distillation loss is introduced that imposes complementary intra- and cross-modal constraints, enabling the event encoder to inherit image-derived semantic organization while preserving local relational consistency and event-specific characteristics.
GeoTrace: Geometry-Aware Trajectory Token Compression for Video Large Language Models
GeoTrace is proposed, a training-free spatiotemporal token compression framework that decomposes video evidence into exact skeleton tokens and traceable residual event tokens that offers a compact and traceable token representation for efficient and robust Video LLM inference.