On the Differences between Large Language Models and Human Language Abilities
In response to the growing attention and controversy surrounding Large Language Models(LLMs),Mahowald et al.(2023)have reconsidered the concept of"linguistic competence",proposing a distinction between"formal"and"functional"linguistic competence.The article is based on the distinction between the two language abilities in the ChatGPT Large Language Models by Mahowald et al.,and further explores the connotations of the two language abilities in detail.It also delves into the question that is"to what extent the Large Language Models have achieved or have been comparable to which language abilities".The outcome reveals:(1)LLMs still exhibit shortcomings in both areas,particularly in their failure to fully grasp the core aspects of human syntax.(2)There are fundamental differences in the mechanisms of Large Language Models and human linguistic competence.This indicates that,despite significant advancements in language processing,Large Language Models remain limited,compared to human linguistic competence.
Large Language Modelslinguistic competenceformal linguistic competencefunctional linguistic competence
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