Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks

Our study investigates how the sequencing of text and image inputs within multi-modal prompts affects the reasoning performance of Large Language Models (LLMs). Through empirical evaluations of three major commercial LLM vendors—OpenAI, Google, and Anthropic—alongside a user study on interaction str...

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Autors principals:	Grant Wardle, Teo Sušnjak
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-06-01
Col·lecció:	Big Data and Cognitive Computing
Matèries:	multi-modal prompting interactive AI systems user-guided AI adaptation multi-modal large language models modality fusion multi-modal reasoning
Accés en línia:	https://www.mdpi.com/2504-2289/9/6/149
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