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May, 2023
大型语言模型：分析LLMs的理论语言能力
Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs
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Gašper Beguš, Maksymilian Dąbkowski, Ryan Rhodes
TL;DR
该研究探讨了大型语言模型的元语言能力，通过针对几种语言学分支的实验以及命令设计，分析了GPT-4生成元语言分析的能力及其局限性，并提供了未来的研究方向。
Abstract
The performance of
large language models
(LLMs) has recently improved to the point where the models can generate valid and coherent meta-linguistic analyses of data. This paper illustrates a vast potential for analyses of the
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