Artificial Intelligence #attention#coupling
Attention as Coupling: New Fast-Slow ODE Framework Aims to Improve Transformer Efficiency
A new research paper proposes a fast-slow ordinary differential equation (ODE) framework for hierarchical pretraining in transformers. The authors instantiate a neural network with a fast causal attention path and a slower pooled attention path, proving a theoretical link to stationary distributions. Empirical results at 500k tokens show neutral coupling, with wall-clock cost comparable to dense baseline.
Jun 16, 2026 1 source