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LLMs can parse complex clinical and security logs using just 1% to 2% of the original context length without sacrificing predictive performance or explanation faithfulness.
A single model can achieve robust performance across a continuum of adversarial threat levels, outperforming ensembles of specialized models with minimal parameter increase.
