TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models
arXiv:2509.03234v2 Announce Type: replace
Abstract: Parameter-Efficient Fine-Tuning (PEFT) methods, such as Low-Rank Adaptation (LoRA), have significantly reduced the number of trainable parameters needed in fine-tuning large language models (LLMs). T…