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

Excerpt

arXiv:2609.18766v2 Announce Type: replace-cross Abstract: 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 k