ACDC

Researchers introduced Graph Circuit Learning (GCL), a supervised, amortized framework that trains a graph neural network across multiple model-task pairs to localize circuits in transformer computati…

Researchers introduced a learned generalization of phase correlation that lifts the restriction of fixed basis, enabling direct measurement of inter-image relationships in the Fourier domain for dense…