Mariam Obeidat

An Analytical Framework for the Evolution of Large Language Models: From Reasoning to LLM-as-a-Judge

The study concludes that future LLM systems are likely to become more adaptive, verifiable, self-evaluating, and self-correcting, and recommends improving judge reliability, error traceability, and human oversight in high-risk applications, while exploring judge-governed execution as a future extension for agentic and robotic systems.