A team from NUS School of Computing took the Best Paper and Presentation Award at PPMisDet, a misinformation detection workshop held at CVPR 2026 in Denver in June.
The team is led by Provost’s Chair Professor Mohan Kankanhalli, together with NUS Computing PhD student Xu Danni, NUS Computing Research Fellow Harry Cheng, and Dr Fan Shaojing, former Senior Research Fellow at NUS Computing and current Senior Lecturer in the Department of Electrical and Computer Engineering at College of Design and Engineering.
Their paper, "RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild" addresses a practical gap in automated fact-checking: most existing tools take only a summarised claim as input, which can strip away meaning and context. RW-Post instead preserves social media post content, paired with human-written fact-checking articles annotated with evidence and reasoning chains.
On top of that dataset sits AgentFact, a framework of five specialised agents handling evidence retrieval, visual analysis, reasoning, and explanation. The system is designed to show how it reached a conclusion, not just what it concluded, which the team argues matters for user trust, system improvement, and accountability in high-stakes settings like news verification and public health.
"This recognition is a testimony to the fact that we have very talented students and researchers at NUS who are passionate about tackling the huge problem of misinformation in society,” said Prof Kankanhalli. "It is most gratifying to see such progress being made in AI for Social Good."
The paper is available at arxiv.org/abs/2512.22933.
