AI RESEARCH
How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework
arXiv CS.CL
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ArXi:2605.23651v1 Announce Type: new While factual correctness and task-performance have been in focus of Large Language Model (LLM) research for a long time, the fundamental question of how human-like generated texts are on a linguistic level has been underexplored. From a corpus-linguistic perspective, language production is inherently context-dependent, with distinct communicative contexts giving rise to differences in frequencies and co-occurrence patterns of linguistic features.