2025
Controllable Memorization in LLMs via Weight Pruning
EMNLP 2025
The evolution of pre-trained large language models (LLMs) has significantly transformed natural language processing. However, these advancements pose challenges, particularly the unintended memorization of training data, which raises ethical and privacy concerns. While prior research has largely foc