One for All: Update Parameterized Knowledge Across Multiple Models

Exploring foci of: arXiv (Cornell University) One for All: Update Parameterized Knowledge Across Multiple Models June 2025 • Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yudong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin Large language models (LLMs) encode vast world knowledge but struggle to stay up-to-date, often leading to errors and hallucinations. Knowledge editing offers an efficient alternative to retraining, enabling targeted modifications by updating specific model parameters. However, existing methods primarily focus on individual models, posing challenges in efficiently updating multiple models and adapting to new models. To address this, we propose OnceEdit, a novel ensemble-based approach that employs a plug-in model … Open Article Page

Knowledge Economy Law Of Multiple Proportions Multiple Myeloma Multiple Sclerosis Sociology Of Scientific Knowledge List Of Iphone Models Knowledge Dragged Across Concrete Race Across The World Open Article

Multiple Independently Targetable Reentry Vehicle List Of Ipad Models Multiple Birth The Adventures Of Buckaroo Banzai Across The 8Th Dimension M270 Multiple Launch Rocket System Hands Across America Theory Of Multiple Intelligences Role Models Across The Universe (Film) Open Article

Multiple Rocket Launcher Fatah (Multiple Rocket Launcher) Tree Of The Knowledge Of Good And Evil Carnal Knowledge (Film) For Unlawful Carnal Knowledge Madman Across The Water Open Article