Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Ke Wang, , , | Summary: Language models deployed in real-world systems often require post-hoc updates to incorporate new or corrected knowledge. However, editing such models efficiently and reliably-without retraining or forgetting previous information-remains a major challenge. Existing methods for lifelong model editing either compromise […]
Continue.. MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs