AI RESEARCH
CHASM: Unveiling Covert Advertisements on Chinese Social Media
arXiv CS.LG
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ArXi:2604.20511v1 Announce Type: new Current benchmarks for evaluating large language models (LLMs) in social media moderation completely overlook a serious threat: covert advertisements, which disguise themselves as regular posts to deceive and mislead consumers into making purchases, leading to significant ethical and legal concerns. In this paper, we present the CHASM, a first-of-its-kind dataset designed to evaluate the capability of Multimodal Large Language Models (MLLMs) in detecting covert advertisements on social media.