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cs.LG2026
HoReN: Normalized Hopfield Retrieval for Large-Scale Sequential Model Editing
Yuan Fang, Yi Xie, Xuming Ran
Large language models encode vast factual knowledge that can become outdated or incorrect after deployment, yet retraining is prohibitively costly. This motivates lifelong model ed…
cs.LG2026
Representation Finetuning for Continual Learning
Haihua Luo, Xuming Ran, Tommi Kärkkäinen +4
The world is inherently dynamic, and continual learning aims to enable models to adapt to ever-evolving data streams. While pre-trained models have shown powerful performance in co…