AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In-context learning is highly sensitive to demonstration choice, yet most methods select demonstrations using external query-demonstration similarity. Such criteria can miss model-specific signals: Similar demonstrations may activate different internal features and downstream behaviors. We introduce PULSE (Paired Utili...
A comprehensive external and internal investigation of multimodal in-context learning on the image captioning task is conducted, revealing both how ICEs configuration strategies impact model performance through external experiments and characteristic typical patterns through internal inspection.
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