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Language models' linguistic abilities

Published on:

8 January 2024

Primary Category:

Computation and Language

Paper Authors:

Raphaël Millière,

Cameron Buckner

Bullets

Key Details

LLMs now excel at many linguistic tasks once seen as challenging

Their success puts pressure on critiques of neural networks' capacities

But skepticism remains about their underlying competences

We need more analysis of their learned representations

AI generated summary

Language models' linguistic abilities

This paper reviews the capabilities of language models like GPT-4 in areas like compositionality, language acquisition, semantic competence, and transmission of knowledge. It argues they challenge assumptions about neural networks' limitations, but more analysis is needed of their internal mechanisms.

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