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Multilingual Queries and Low-Resource Modality Support

Extend multimedia question answering systems to robustly handle multilingual queries and to support low-resource modalities, including underrepresented languages and data-scarce audio/video conditions.

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Background

Most multimedia QA research and pretraining corpora are concentrated in high-resource languages and modalities, limiting generalization across diverse user populations and environments. The paper explicitly notes unresolved complexities in multilingual handling and low-resource support, underscoring the need for domain-adaptive pretraining, cross-lingual transfer, and robust multimodal modeling under data scarcity.

References

Despite recent progress, several challenges remain unresolved. Key issues include the difficulty of finegrained multimodal alignment (e.g., syncing spoken language with visual scenes), the lack of robust trustworthiness mechanisms such as modality attribution or segment-level citations, and the computational overhead introduced by real time or large scale retrieval. Further complexities arise in handling multilingual queries and supporting low-resource modalities, along with the persistent challenge of evaluating answer quality across modalities.

— Multimedia-Aware Question Answering: A Review of Retrieval and Cross-Modal Reasoning Architectures (2510.20193 - Raja et al., 23 Oct 2025) in Conclusion (Section 5)