4 papers
RoE-FND: Synergizing LLMs with Experiential Learning for Effective and Generalizable Evidence-Based Fake News Detection
Yuzhou Yang, Qichao Ying, Sheng Li +3
The proliferation of deceptive content in social networks necessitates robust Fake News Detection (FND) systems. Existing pipelines either train detectors on labeled data or levera…
Grounding and Explaining Visual Evidence for AI-Generated Image Detection in Human-Centric Scenes
Kun Guo, Yuzhou Yang, Haoyue Wang +3
Rapid advances in image generation models call for interpretable AI-generated image detection methods that not only determine authenticity but also provide supporting visual eviden…
MoFRR: Mixture of Diffusion Models for Face Retouching Restoration
Jiaxin Liu, Qichao Ying, Zhenxing Qian +4
The widespread use of face retouching on social media platforms raises concerns about the authenticity of face images. While existing methods focus on detecting face retouching, ho…
Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences
Yuzhou Yang, Yangming Zhou, Qichao Ying +2
Pioneer researches recognize evidences as crucial elements in fake news detection apart from patterns. Existing evidence-aware methods either require laborious pre-processing proce…