Dice Question Streamline Icon: https://streamlinehq.com

Evaluation of Answer Quality Across Modalities

Design standardized evaluation protocols and metrics that reliably assess answer quality across text, image, audio, and video modalities in multimedia question answering.

Information Square Streamline Icon: https://streamlinehq.com

Background

Current evaluations for multimedia QA are fragmented across datasets and modalities, making it difficult to compare systems and verify multimodal reasoning quality. The paper highlights the persistent challenge of cross-modal evaluation, indicating a need for unified benchmarks and metrics that capture grounding, temporal alignment, evidence attribution, and correctness across heterogeneous inputs.

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)