AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LLM evaluation is commonly performed either by prompting models to produce answers or by scoring candidate outputs with likelihood-based metrics. In multiple-choice QA, however, standard likelihood-based scoring is still conditioned on the question and answer set, and can therefore leverage the same task-conditioned an...
A hybrid deep learning framework for learned one-step tracklet filtering of radar measurements that achieves lower filtering error and improved robustness under severe non-Gaussian disturbances, compared with EKF- and UKF-based analytical baselines.
This work proposes Z-PEFT, a lightweight meta-classifier that relies exclusively on layer-wise spectral measures for classification, and achieves the best performance while maintaining low and scalable computational cost among weight-space detectors.
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