AI RESEARCH
Lost in Sampling: Assessing Lexical Reachability in LLMs via the Word Coverage Score (WCS)
arXiv CS.AI
•
ArXi:2605.27268v1 Announce Type: cross Modern Large Language Models (LLMs) are often criticized for producing repetitive and homogeneous text, despite possessing vast latent vocabularies. While previous research has focused on model knowledge and