Lu Lin

Neural networks exhibit an internal "feeling of error"—manifesting as sharply suppressed concept activations inside Sparse Autoencoders—that reliably flags segmentation failures where standard output uncertainty metrics fail.

A self-evolving critic can reduce confidence estimation errors in LLM agents by up to 54% without requiring any training or ground truth labels.