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Machine yearning: LLMs do not capture formal linguistic structure and obscure neuroscientific inquiry
Elliot Murphy1, Paolo Morosi2, Evelina Leivada2,3
1Vivian L. Smith Department of Neurosurgery, University of Texas Health Science Center at Houston, Houston, USA elliot.murphy@uth.tmc.edu.
None:
Futrell and Mahowald argue that neural networks have learned non-trivial aspects of language. We argue that these systems have not in fact demonstrated "mastery" of syntax, marshalling recent evidence, and that they further obscure explanatory insights with respect to topics in the cognitive neuroscience of language.
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