# EDMA: Entropy-Driven Multimodal Answering

**Published:** October 21, 2026
**Author:** Emanuele Mezzi, Gertjan Burghouts, Fabio Massacci, Mengyuan Zhang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/edma-entropy-driven-multimodal-answering

arXiv:2610.27120v1 Announce Type: new Abstract: Multimodal question answering (MMQA) is based on integrating heterogeneous data sources, selectively leveraging relevant modalities, and ignoring distractors. Existing approaches based on Multimodal Large Language Models (MLLMs)…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.27120)

**Tags:** #arXiv

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