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Emergent communication and learning pressures in language models: a language evolution perspective
March 22, 2024, 4:48 a.m. | Lukas Galke, Limor Raviv
cs.CL updates on arXiv.org arxiv.org
Abstract: Language models and humans are two types of learning systems. Finding or facilitating commonalities could enable major breakthroughs in our understanding of the acquisition and evolution of language. Many theories of language evolution rely heavily on learning biases and learning pressures. Yet due to substantial differences in learning pressures, it is questionable whether the similarity between humans and machines is sufficient for insights to carry over and to be worth testing with human participants. Here, …
abstract acquisition arxiv biases communication cs.cl evolution humans language language models learning systems major perspective systems type types understanding
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