How Should Multimodal Information Be Chunked for Complex Question Answering?
This doctoral research addresses the modality representation gap by investigating how multimodal documents should be decomposed for complex question answering, and introduces the notion of Composite Chunk Items (CCIs), semantically coherent, self-contained evidence units that may span text, tables, images, and charts.