FRAUDSkill is proposed, a structured frozen-weight adaptation framework that leaves the underlying audio-language model unchanged while optimizing an external layer of skill programs, route-specific policies, and decision rules and combines structured output control with validation-guided multi-path inference to ensure...
Cheng-Xian Hu, Zhi-Ming Ma, Ming-Jun Pan et al.· 0 citations
Telecom fraud scripts evolve rapidly and are often designed to resemble routine service conversations, creating two key requirements for audio-based telecom-fraud evaluation. First, benchmarks must incorporate newly observed scam patterns without overwriting previously established test sets. Second, they must distingui...
Hui-Yuan Liu, Zhi-Ming Ma, Yan-Xing Liu et al.· 0 citations
RiskChainBench introduces RiskChainBench, pairing 3,600 synthetic token-text restoration inputs from 600 source sessions with 600 corresponding human-labeled local web environments that produces a frozen, evidence-cited risk report without message-side semantics or domain-reputation cues.
Zhuo-Xin Liu, Zhi-Ming Ma, Ying Zhang et al.· 0 citations
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