Current Endeavors

Minimum Embedding Editing for Better Knowledge Editing

The University of Sheffield 9/2024~5/2025

• Conducting research on optimizing knowledge editing in large language models (LLMs) by focusing on embedding layers, an approach aimed at efficiently updating model knowledge with minimal computational overhead.
• Exploring techniques such as constraint-based optimization and regularization to adjust specific embedding vectors, thereby maintaining model stability while incorporating new information.