AI RESEARCH
Modeling the human lexicon under temperature variations: linguistic factors, diversity and typicality in LLM word associations
arXiv CS.CL
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ArXi:2603.18171v1 Announce Type: new Large language models (LLMs) achieve impressive results in terms of fluency in text generation, yet the nature of their linguistic knowledge - in particular the human-likeness of their internal lexicon - remains uncertain. This study compares human and LLM-generated word associations to evaluate how accurately models capture human lexical patterns.