A two-stage posterior-weighted Gaussian Process generates approximately periodic time series by keeping an identical mean function across repetitions while permitting smooth inter-repetition variation.
In: 8th IEEE Conference on Industrial Cyber-Physical Systems (ICPS)
3 Pith papers cite this work. Polarity classification is still indexing.
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CritBench evaluates five LLMs on 81 tasks in IEC 61850 environments, showing reliable performance on static analysis and single-tool reconnaissance but degradation on dynamic live-system tasks that require sequential reasoning, with domain-specific tools improving results.
A 16-factor structured prompt framework strengthens CoT reasoning in LLMs for security analysis, yielding up to 40% reasoning gains in smaller models and stable accuracy improvements validated by human raters with Cohen's k > 0.80.
citing papers explorer
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Generative Modeling of Approximately Periodic Time Series by a Posterior-Weighted Gaussian Process
A two-stage posterior-weighted Gaussian Process generates approximately periodic time series by keeping an identical mean function across repetitions while permitting smooth inter-repetition variation.
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CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments
CritBench evaluates five LLMs on 81 tasks in IEC 61850 environments, showing reliable performance on static analysis and single-tool reconnaissance but degradation on dynamic live-system tasks that require sequential reasoning, with domain-specific tools improving results.
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Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework
A 16-factor structured prompt framework strengthens CoT reasoning in LLMs for security analysis, yielding up to 40% reasoning gains in smaller models and stable accuracy improvements validated by human raters with Cohen's k > 0.80.