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Paper: LLMs can support generative linguistic theories

A new paper argues that large language models (LLMs) can support generative linguistic theories, not just usage-based ones. The author suggests that LLMs' ability to instantiate formal structures could bridge the gap between usage-based and generative linguistic accounts. This perspective broadens the scope of linguistic theories testable with LLMs. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Suggests LLMs can be used to test a wider range of linguistic theories, potentially reconciling different schools of thought.

RANK_REASON The cluster contains an academic paper discussing theoretical compatibility between language models and linguistic theories. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · R. Thomas McCoy ·

    Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear

    Futrell and Mahowald (2025) frame the success of neural language models (LMs) as supporting gradient, usage-based linguistic theories. I argue that LMs can also instantiate theories based on formal structures - the types of theories seen in the generative tradition. This argument…