Instruction-tuned LLMs show less syntactic convergence to human dialogue partners than pretrained models, indicating that alignment training may inadvertently reduce a natural form of linguistic adaptation that humans exhibit.
This study examines whether large language models adapt their grammar to match human speakers in dialogue, similar to how humans naturally do.