Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation 事件

Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation arXiv:2601.06600v4 Announce Type: replace Abstract: Short-video platforms have become major channels for misinformation, where deceptive claims frequently leverage visual experiments and social cues. While Multimodal Large Language Models (MLLMs) have demonstrated impressive reasoning capabilities, their robustness against misinformation entangled with cognitive biases remains under-explored. In t