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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Xiao-Liang Chen

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Open access Sep 2026

Protodetect: Prototype Compactness and Inference Calibration for Few-Shot Out-of-Distribution Detection

Detecting out-of-distribution (OOD) samples from limited labeled data is important for reliable recognition under semantic novelty. Existing few-shot approaches use synthetic or auxiliary unknowns, model only in-distribution (ID) data, or rely on large pretrained vision–language models. This paper presents Protodetect,...

Ze-Xia Huang, Hao-Yu Jiang, Jin-Song Hu et al. · 0 citations
Conference 2026

Mitigating Spurious Correlations in Text Classification Using Latent Space Geometry

This paper introduces a prototype-guided modeling approach that leverages natural language prompts to represent confounders, transforming abstract biases into interpretable geometric anchors without auxiliary classifiers, a novel framework that mitigates spurious correlations by manipulating latent space geometry.

Jiasen Gao, Xiaoliang Chen, Duoqian Miao et al. · 0 citations

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