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Reliable detection of malicious agent skills hinges on a comprehensive benchmark that reveals stark differences in threat composition across sources.
CAPO enables LLMs to meet stringent operational constraints without sacrificing task performance, achieving feasible prompts in every evaluated domain.
Achieving up to 64.34× speedup in dynamic GPU workloads, DB-SpMSpV redefines the efficiency of Sparse Matrix-Sparse Vector Multiplication.
Allocating additional computation during decision-making boosts long-horizon robot manipulation success by significantly enhancing subtask prediction accuracy.
A new generative framework can synthesize over 332 million individuals with realistic geographic and demographic attributes, outperforming traditional methods in joint distribution reconstruction.
Forget sub-task prediction – the secret to better robot policies is reasoning directly in the action space with a sequence of coarse action intents.
