How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
要約
Large Language Models (LLMs) must continuously learn and update knowledge to remain effective in dynamic real-world environments. While Low-Rank Adaptation (LoRA) is widely used for such memory updates, existing studies mainly rely on qualitative downstream evaluations, leaving the quantitative capa…