LLM-MRD: LLM-Guided Multi-View Reasoning Distillation for Fake News Detection

ArXi:2603.19293v1 Announce Type: cross Multimodal fake news detection is crucial for mitigating societal disinformation. Existing approaches attempt to address this by fusing multimodal features or leveraging Large Language Models (LLMs) for advanced reasoning. However, these methods suffer from serious limitations, including a lack of comprehensive multi-view judgment and fusion, and prohibitive reasoning inefficiency due to the high computational costs of LLMs.