AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SOTER is presented, a generative foundation model for wearable physiological time series that unifies cross-channel coupling, spectrum-guided expert specialization, and continuous-time latent evolution within a single pre-training framework and achieves the best RMSE on 4 of 6 datasets and the best MAE on 5 of 6.
ObGynLongBench is introduced, a rule-grounded long-context EHR benchmark for obstetric and gynecologic decision-making, comprising 1,500 clinical decision-point cases from 976 real pregnancy EHR histories and traceable rules.
RIDGE, a frame selection framework that reads the frame-query similarity curve as a temporal signal, partitions the timeline into structural regions and applies region-specific selection to preserve event cores, transitions, buildup, aftermath, and contextual frames under a fixed budget.
This work introduces MedReaMM, a benchmark specifically designed to evaluate models'ability to synthesize heterogeneous clinical evidence consisting of detailed patient histories alongside multiple medical images into accurate differential diagnoses under a complete-information paradigm.
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