MiRA: A Zero-Shot Mixture-of-Reasoning Agents Framework for Multimodal Answering of Science Questions

Multimodal question answering (QA) involves integrating information from both visual and textual inputs and requires models that can reason compositionally and accurately across modalities. Existing approaches, including fine-tuned vision–language and prompting, often struggle with generalization, i...

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Bibliografiska uppgifter

Huvudupphov:	Fawaz Alsolami, Asmaa Alrayzah, Rayyan Najam
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2025-12-01
Serie:	Applied Sciences
Ämnen:	Large Language Model multimodal question answering ScienceQA benchmark zero-shot multimodal reasoning
Länkar:	https://www.mdpi.com/2076-3417/16/1/372
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