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Achieving a Micro-F1 score of 0.8085, this framework effectively balances adaptation and retention in LLMs for smart contract vulnerability detection.
FIDM reveals that cognitive processes are more complex than mere action trajectories, providing a richer understanding of decision-making dynamics in verbalized tasks.
LLMs can achieve state-of-the-art Alzheimer's detection by mimicking clinical cognitive assessment protocols, not just learning statistical patterns.
Ditching rigid digital twins for adaptable world models could unlock truly intelligent edge computing in 6G networks.
