Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
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Parameter efficiency and adaptability are key challenges in fine-tuning large language models (LLMs). Existing parameter-efficient fine-tuning (PEFT) methods such as low-rank adaptation (LoRA) reduce training cost but rely on fixed low-rank adapters, limiting ... ...
