Testing Semantic Emergence in LLMs: A Re-evaluation of Martin's Law

This ArXiv paper investigates the emergence of lexical semantics within Large Language Models (LLMs), specifically focusing on whether these models adhere to principles like Martin's Law. The research likely provides valuable insights into how LLMs represent and process meaning, contributing to the understanding of their capabilities and limitations.

• •Investigates the emergence of lexical semantics within LLMs.
• •Focuses on testing LLMs against principles like Martin's Law.
• •Potentially provides insights into LLMs' meaning representation and processing.