SELF: A Novel Approach for LLM Fingerprinting Using Singular Value Decomposition
Analysis
This ArXiv paper proposes SELF, a new method for fingerprinting Large Language Models (LLMs). The paper's novelty likely lies in its application of Singular Value Decomposition (SVD) and potentially Eigenvalue decomposition for this purpose.
Key Takeaways
Reference / Citation
View Original"The paper leverages a Singular Value and Eigenvalue approach for LLM fingerprinting."