ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection

Multimodal deception detection is critical for identifying fraudulent intentions, yet existing approaches predominantly rely on end to end black--box paradigms. These methods suffer from a severe lack of interpretability failing to provide transparent reasoning trajectories and struggling to explici...