CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
arXiv:2509.18993v3 Announce Type: replace
Abstract: Low-rank architectures have become increasingly important for efficient large language model (LLM) pre-training, providing substantial reductions in both parameter complexity and memory/computational…