2 papers
cs.CL2025
Can Language Models Learn Typologically Implausible Languages?
Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki +2
Grammatical features across human languages show intriguing correlations often attributed to learning biases in humans. However, empirical evidence has been limited to experiments…
cs.CL2025
A Distributional Perspective on Word Learning in Neural Language Models
Filippo Ficarra, Ryan Cotterell, Alex Warstadt
Language models (LMs) are increasingly being studied as models of human language learners. Due to the nascency of the field, it is not well-established whether LMs exhibit similar…