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LadderEdit cuts LLM editing memory by 5.2x with residual compression · arXiv

Researchers have developed LadderEdit, a novel method for memory-efficient lifelong editing of Large Language Models (LLMs). This approach compresses individual LoRA adapters after each edit is acquired, initially stori…