arXiv cs.AI
· Papers
Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation
arXiv:2510.00192v3 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) has become a widely used paradigm for parameter-efficient fine-tuning of large language models, yet its representational capacity often lags behind full fine-tuning. Within the context of LoRA, a key open question is how to obtain expr