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Kang Li

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Open access Sep 2026

Using Multimodal Large Language Models for False Alarm Reduction in Image-Based Fire Detection

Existing vision-based methods suffer from high false alarm rates in urban flame detection. Applying Multimodal Large Language Models (MLLMs) for secondary filtering shows great potential for reducing false alarms, yet they have high inference latency and are prone to reasoning collapse on negative samples without expli...

Qie Gao, Hai-Hui Wang, Zhen-Hai Qin et al. · 0 citations
#artificial intelligence Preprint Sep 2026

A Structured Debate-Mixture-of-Agents Framework for Complex Clinical Diagnostic Decision Support

Large language models (LLMs) show potential for medical tasks, but their single-turn question-answer format does not reflect how clinical diagnosis is performed in practice. As a result, they remain limited in complex diagnostic settings. We developed Debate-Mixture-of-Agents (DMoA), a novel multi-agent framework that...

Changda Xia, L. Ouyang, Hui-Min Wang et al. · 0 citations

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