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Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation
The rapid growth of multimodal data has intensified the need for question answering (QA) systems capable of reasoning across heterogeneous sources such as text, tables, and images. In this paper, we present a comprehensive methodological comparison of three influential frameworks, namely Multimodal
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