HIGHLIGHTS
- who: Arabella Sinclair and collaborators from the School of Natural and Computing Sciences University of Aberdeen, United Kingdom have published the Article: Structural Persistence in Language Models: Priming as a Window into , in the Journal: (JOURNAL)
- what: The authors investigate the extent to which modern neural language models are susceptible to structural priming, the phenomenon whereby the structure of a sentence makes the same structure more probable in a follow-up sentence. The authors explore how priming can be used to study the potential of these models to learn abstract structural information, which is a . . .
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