AI RESEARCH
ECHO: Event-Centric Hypergraph Operations via Multi-Agent Collaboration for Multimedia Event Extraction
arXiv CS.CV
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ArXi:2603.06683v1 Announce Type: new Multimedia Event Extraction (M2E2) involves extracting structured event records from both textual and visual content. Existing approaches, ranging from specialized architectures to direct Large Language Model (LLM) prompting, typically rely on a linear, end-to-end generation and thus suffer from cascading errors: early cross-modal misalignments often corrupt downstream role assignment under strict grounding constraints.