Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?

Fuente: arXiv
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Autori principali: Junker, Simeon, Ali, Manar, Koch, Larissa, Zarrieß, Sina, Buschmeier, Hendrik
Natura: Preprint
Pubblicazione: 2025
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author Junker, Simeon
Ali, Manar
Koch, Larissa
Zarrieß, Sina
Buschmeier, Hendrik
author_facet Junker, Simeon
Ali, Manar
Koch, Larissa
Zarrieß, Sina
Buschmeier, Hendrik
contents We investigate the linguistic abilities of multimodal large language models in reference resolution tasks featuring simple yet abstract visual stimuli, such as color patches and color grids. Although the task may not seem challenging for today's language models, being straightforward for human dyads, we consider it to be a highly relevant probe of the pragmatic capabilities of MLLMs. Our results and analyses indeed suggest that basic pragmatic capabilities, such as context-dependent interpretation of color descriptions, still constitute major challenges for state-of-the-art MLLMs.
format Preprint
id arxiv_https___arxiv_org_abs_2506_11807
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?
Junker, Simeon
Ali, Manar
Koch, Larissa
Zarrieß, Sina
Buschmeier, Hendrik
Computation and Language
We investigate the linguistic abilities of multimodal large language models in reference resolution tasks featuring simple yet abstract visual stimuli, such as color patches and color grids. Although the task may not seem challenging for today's language models, being straightforward for human dyads, we consider it to be a highly relevant probe of the pragmatic capabilities of MLLMs. Our results and analyses indeed suggest that basic pragmatic capabilities, such as context-dependent interpretation of color descriptions, still constitute major challenges for state-of-the-art MLLMs.
title Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks?
topic Computation and Language
url https://arxiv.org/abs/2506.11807