AI RESEARCH
Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images
arXiv CS.CL
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ArXi:2510.21828v2 Announce Type: replace-cross Understanding and reasoning with abstractive information from the visual modality presents significant challenges for current multi-modal large language models (MLLMs). Among the various forms of abstractive information, Multi-Modal Relational Knowledge (MMRK), which represents abstract relational structures between multi-modal entities using node-edge formats, remains largely under-explored. In particular, STructured and Abstractive Reasoning (STAR) on such data has received little attention from the research community.