Article

Comprehending semantic and syntactic anomalies in LLM- versus human-generated texts: An ERP study

2024-10-08

Abstract excerpt

<p>As large language models (LLMs) become increasingly proficient at engaging in human-like conversations, it is essential to understand how people process language generated by LLMs compared to language produced by humans. During language comprehension, people interpret incoming linguistic input by integrating it with their world knowledge (e.g., semantic anomalies can elicit an N400 effect in brain potentials) a...

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Literature Corpus work: 73cd04e1-7421-5744-abdf-49716956bd5d
DOI: 10.31234/osf.io/kvbg2

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