AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In Learning to Simulate from Heavy-Tailed Distribution via Diffusion Model, the authors pinpoint why standard diffusion models break down on heavy-tailed targets and propose a Student-t-based heavy-tailed diffusion (SHD) framework that fixes both ends of the pipeline.
3D-DefectBench is introduced, a benchmark and framework for systematic analysis of VLM-based 3D defect detection pipelines, and finds that automated judges should be evaluated as complete pipelines and calibrated across human reference regimes, rather than benchmarked only as standalone models.
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