Knowledge Editing

Focuses on efficiently modifying LLMs to update or correct specific facts while preserving overall model performance. By leveraging targeted fine-tuning, memory-efficient methods, or intervention-based techniques, the project aims to enable real-time updates without requiring full retraining.