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M-CALLM: Multi-level Context Aware LLM Framework for Group Interaction Prediction
This paper explores how large language models can leverage multi-level contextual information to predict group coordination patterns in collaborative mixed reality environments. We demonstrate that encoding individual behavioral profiles, group structural properties, and temporal dynamics as natural
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