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Beijing Jiaotong University
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A multi-agent forensic reasoning framework outperforms leading closed-source models in deepfake detection by leveraging diverse analytical perspectives on forgery cues.
Bidirectional reasoning in CZSL can significantly reduce prediction errors, leading to state-of-the-art performance in recognizing unseen attribute-object pairs.
