SafeMoE isolates unsafe knowledge into domain-specific LoRA experts and routes them with a lightweight gating network to improve safe response rates by over 20% relative while maintaining informative outputs.
Sparse Koopman autoencoders use sparse latent supports as label-free regime indicators that identify local dynamical basins and outperform dense autoencoders in multibasin forecasting.