TeleAntiFraud 2.0: A Refreshable, Profile-Grounded, and Audio-Based Benchmark for Telecom Fraud Detection
cs.SD, cs.CL
Submitted: 2026-09-16
Updated: 2026-09-17
Comments: 12 pages, 4 figures, including supplementary material
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
- Fraud Dataset Benchmark and Applications
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
- Character-LLM: A Trainable Agent for Role-Playing
- MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
- Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
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