arXiv:2606.10467v1 Announce Type: new Abstract: The rapid advancement of large language models (LLMs) has intensified debates about their significance for linguistic theory. These debates are commonly divided into three positions: insulationism, which regards LLMs as irrelevant to human language; eliminativism, which claims that LLMs can replace traditional linguistic theories; and conciliationism, which views them as useful tools for linguistic research. To clarify these positions, this paper applies the framework of modal modeling from the philosophy of science. We argue that LLMs possess ge
The rapid advancement and widespread adoption of Large Language Models necessitate a philosophical and scientific framework to understand their implications for linguistic theory.
This academic paper aims to clarify the ongoing debate about the role of LLMs in linguistics, moving beyond simplistic views to a more nuanced understanding of their utility as 'modal models.'
The application of a 'modal modeling' framework provides a structured approach to evaluate LLMs' contributions to linguistic research, potentially shifting how linguists integrate or resist these AI tools.
- · Linguistic theorists
- · AI ethicists
- · Developers of foundational AI models
- · Linguistic 'insulationists'
- · Linguistic 'eliminativists'
The paper contributes to a more sophisticated academic discourse around the utility and implications of Large Language Models for scientific inquiry.
Linguistic research methodologies may evolve to more actively incorporate and critically assess LLMs as tools for generating and testing theories.
A clearer understanding of LLMs' capabilities in linguistics could influence their development paths, leading to models specifically designed to advance scientific understanding rather than just practical applications.
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