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        <title>Cross-Modal Inconsistency in Multimodal LLMs during Crisis Communication</title>
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    <abstract>In this paper, we evaluate three state-of-the-art (SOTA) MM-LLMs on consistency of their outputs across text and audio modalities using real emergency alerts. Building on prior semantic-similarity and factual-overlap evaluation, we introduce a LIWC aligned analysis of modality dependent differences in linguistic structure, interpersonal framing, urgency, risk, and action-oriented language. Our findings indicate that despite being unified models, capable of taking in input from different modalities, no single model was able to achieve reliable cross-modal consistency. Persona-level results further indicate that cross-modal disparities vary across user groups. This introduces modality dependent inequity that unfairly affects individuals with access and functional needs. We release prompts, audio recordings, model outputs and evaluation material to support the crisis language technology community in building equitable solution for crisis management.</abstract>
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%0 Conference Proceedings
%T Cross-Modal Inconsistency in Multimodal LLMs during Crisis Communication
%A Gupta, Anuridhi
%A Purohit, Hemant
%Y Ticona, Belu
%Y Xia, Fei
%Y Lewis, William D.
%Y Anastasopoulos, Antonios
%S Proceedings of the First Workshop on Language Technologies for Crisis Preparedness and Response
%D 2026
%8 November
%I Association for Computational Linguistics
%C Hengqin, China
%@ 979-8-89176-450-7
%F gupta-purohit-2026-cross
%X In this paper, we evaluate three state-of-the-art (SOTA) MM-LLMs on consistency of their outputs across text and audio modalities using real emergency alerts. Building on prior semantic-similarity and factual-overlap evaluation, we introduce a LIWC aligned analysis of modality dependent differences in linguistic structure, interpersonal framing, urgency, risk, and action-oriented language. Our findings indicate that despite being unified models, capable of taking in input from different modalities, no single model was able to achieve reliable cross-modal consistency. Persona-level results further indicate that cross-modal disparities vary across user groups. This introduces modality dependent inequity that unfairly affects individuals with access and functional needs. We release prompts, audio recordings, model outputs and evaluation material to support the crisis language technology community in building equitable solution for crisis management.
%U https://aclanthology.org/2026.lt4cpr-1.9/
%P 115-125

Markdown (Informal)

[Cross-Modal Inconsistency in Multimodal LLMs during Crisis Communication](https://aclanthology.org/2026.lt4cpr-1.9/) (Gupta & Purohit, LT4CPR 2026)

• Cross-Modal Inconsistency in Multimodal LLMs during Crisis Communication (Gupta & Purohit, LT4CPR 2026)

ACL

• Anuridhi Gupta and Hemant Purohit. 2026. Cross-Modal Inconsistency in Multimodal LLMs during Crisis Communication. In Proceedings of the First Workshop on Language Technologies for Crisis Preparedness and Response, pages 115–125, Hengqin, China. Association for Computational Linguistics.