AIBullisharXiv – CS AI · Feb 277/107
🧠
Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory
Researchers have developed a unified framework using Spectral Geometry and Random Matrix Theory to address reliability and efficiency challenges in large language models. The study introduces EigenTrack for real-time hallucination detection and RMT-KD for model compression while maintaining accuracy.