Isotropic activation functions derived from reparameterisation symmetries and SVD diagonalisation enable function-preserving neuron removal and addition in dense networks, supporting up to 50% sparsification and real-time topology adaptation.
Experience-dependent structural synaptic plasticity in the mammalian brain
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CASCADE enables LLMs to continually adapt at deployment via case-based episodic memory and contextual bandits, improving macro-averaged success by 20.9% over zero-shot on 16 tasks spanning medicine, law, code, and robotics.
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Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
Isotropic activation functions derived from reparameterisation symmetries and SVD diagonalisation enable function-preserving neuron removal and addition in dense networks, supporting up to 50% sparsification and real-time topology adaptation.
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CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
CASCADE enables LLMs to continually adapt at deployment via case-based episodic memory and contextual bandits, improving macro-averaged success by 20.9% over zero-shot on 16 tasks spanning medicine, law, code, and robotics.