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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Bibliografske podrobnosti

Principais autores:	Grant Wardle, Teo Sušnjak
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-06-01
Serija:	Big Data and Cognitive Computing
Teme:	multi-modal prompting interactive AI systems user-guided AI adaptation multi-modal large language models modality fusion multi-modal reasoning
Online dostop:	https://www.mdpi.com/2504-2289/9/6/149
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