On the referential capacity of language models: An internalist rejoinder to Mandelkern & Linzen

Abstract Mandelkern and Linzen (2024) argue that words generated by language models (LMs) are linked to causal histories of use within human linguistic communities, and ultimately to their referents. Therefore, LMs’ words refer. We qualify Mandelkern and Linzen’s claim as applicable to a narrow class of expressions. Thus qualified, the claim is valid and motivated by the need to evaluate LMs’ outputs for relevance and truth. Next, we discuss the actual scope of their claim, and we conclude that the bounds of sense and reference in LMs are more restricted than in humans. We close with some considerations on the status of LMs as members of human linguistic communities.

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Publication Details

Journal
Computational Linguistics
Published
2026-01-09
DOI
https://doi.org/10.1162/coli.a.601
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
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article

On the referential capacity of language models: An internalist rejoinder to Mandelkern & Linzen

Giosuè Baggio, Elliot Murphy
Computational Linguistics
Language and cultural evolution
article

On the referential capacity of language models: An internalist rejoinder to Mandelkern & Linzen

Giosuè Baggio, Elliot Murphy
article en

Abstract

Abstract Mandelkern and Linzen (2024) argue that words generated by language models (LMs) are linked to causal histories of use within human linguistic communities, and ultimately to their referents. Therefore, LMs’ words refer. We qualify Mandelkern and Linzen’s claim as applicable to a narrow class of expressions. Thus qualified, the claim is valid and motivated by the need to evaluate LMs’ outputs for relevance and truth. Next, we discuss the actual scope of their claim, and we conclude that the bounds of sense and reference in LMs are more restricted than in humans. We close with some considerations on the status of LMs as members of human linguistic communities.

Computational Linguistics
Language Science (South Korea) (KR), The University of Texas Health Science Center at Houston (US)
Quality Education
Openalex Percentile: Top 94%
Language and cultural evolution
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