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Social bot detection gets a boost from anisotropic hyperbolic geometry, which adapts to varying structural densities and outperforms existing methods by decoupling account features from potentially contaminated neighborhood aggregations.
LLMs can now autonomously fuzz industrial control protocols, uncovering previously undetectable semantic vulnerabilities that could silently disrupt critical infrastructure.
Automating UVM testbench generation with LLMs slashes verification time from days to hours, achieving near-complete code coverage.
A carefully crafted synthetic data pipeline and rubric-guided RL lets a 4B parameter model nearly match Gemini-3-Flash on wafer defect analysis, suggesting that data quality and targeted training can trump sheer model size.
