The fluency-based semantic network of LLMs differs from humans
Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between led humans and machines in language understanding and creativity.However, whether the semantic network of LLMs is similar to humans is still unclear.We examined the representative c