arXiv cs.CL
· Papers
A Hamiltonian-Inspired Local-Operator Ansatz for Slimming Large Language Models
arXiv:2605.25344v2 Announce Type: replace Abstract: Dense linear maps carry much of the parameter and computational burden of modern neural networks, yet their dense form leaves the organization of learned couplings implicit. Quantum many-body physics organizes exponentially large operators by writing a global Hamilton