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Collaborative reasoning framework integrating multimodal large language models and knowledge graphs for dragon and lion dance technical action semantic understanding
Abstract Dragon and lion dance occupies an unusual position: a nationally recognised item of intangible cultural heritage that is at the same time a codified competitive sport. Judging it is correspondingly hard, because one scored element carries temporal, spatial, dynamic and cooperative meaning at once. This study couples a multimodal large language model (MLLM) with a domain-specific knowledge graph (KG) so that technical actions can be recognised, scored and explained against the rulebook.
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