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FRAUDSkill: Structured Frozen-Weight Skill Optimization for Audio Anti-Fraud Detection

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

Large audio-language models have shown promise for anti-fraud detection by directly processing speech and reasoning over fraud-related evidence. Their deployment, however, requires predictions to follow a predefined label space and a structured decision protocol consisting of service-scenario identification, fraud detection, and conditional fraud-type classification. Existing fine-tuning and prompt-based approaches typically encode task knowledge, constraints, and decision rules into model parameters or manually maintained prompts, making them difficult to adapt as fraud patterns and labeling

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