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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

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Jian Huang

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#machine learning Open access Sep 2026

CoDR: Training-Free Confidence-Drift Remasking for Diffusion Language Models

CoDR (Confidence Drift Remasking), a training-free and sampler-agnostic refinement pass that estimates drift for all committed positions in only k forward passes via k-partition probing, and regenerates only the tokens the model no longer endorses.

Yue Wu, Qing-He Zheng, Yu Zhang et al. · 0 citations

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