#multimodal-qa News & Analysis

2 articles tagged with #multimodal-qa. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 107/10

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One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA

Researchers introduce Latent Memory, a novel memory paradigm that compresses multimodal evidence (text and images) into single high-dimensional tokens for retrieval-augmented generation systems. The approach achieves competitive QA performance while reducing token consumption by 3-10x, addressing critical efficiency constraints in resource-limited deployments.

AINeutralarXiv – CS AI · Jun 56/10

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MARDoc: A Memory-Aware Refinement Agent Framework for Multimodal Long Document QA

Researchers introduce MARDoc, a Memory-Aware Refinement Agent framework that improves multimodal long-document question answering by decoupling the task into three specialized agents (Explorer, Refiner, Reflector) that maintain structured memory instead of accumulated interaction history. The approach reduces context noise while preserving critical evidence, outperforming baseline systems on benchmark datasets.