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Researchers from Shenzhen University and the Hong Kong University of Science and Technology have proposed the ECA (Evidence-Carrying Multimodal Agents) framework. This framework addresses the issue of AI Agents generating erroneous premises due to hallucinations, leading to incorrect execution, by designing a model that proposes actions, utilizes an independent verifier to provide evidence, and incorporates gated program core conditions. Through multi-channel evidence cross-verification, ECA can effectively intercept disguised attacks. Test results show that this framework not only effectively prevents unsafe actions but also performs well in normal tasks, allowing most normal operations to proceed directly in daily use with controllable time consumption, reducing the need for users to take remedial actions afterward.
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