1 citations · 1 across the 5 of their papers we have counts for
7 papers
ReVR: Dual-Path Concept Reasoning for Multimodal Fake News Detection
Zhikai Tan, Yuzhou Yang, Qichao Ying +4
Vision-language models (VLMs) support multimodal fake news detection (FND) by producing explicit analyses. Recent methods further improve interpretability by organizing verificatio…
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…
PROVE: Proof-guided Regime-aware Operator Verification for Hallucination Detection in Medical Visual Question Answering
Keyang Zhou, Siyi Li, Zhongnan Shi +3
In medical visual question answering (VQA), hallucinations of vision-language models (VLMs) may lead to confident but incorrect responses, raising the risk of diagnostic errors. Ex…
Self-Reflective Multi-modal Reasoning for Short-Video Fake News Detection
Pinjie Xu, Yuzhou Yang, Zhikai Tan +4
Recent fake news detection pipelines increasingly leverage large language models and vision-language models for reasoning-based analysis. However, several challenges remain open: i…
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…
DANCE: Dual-View Distribution Alignment for Dataset Condensation
Hansong Zhang, Shikun Li, Fanzhao Lin +3
Dataset condensation addresses the problem of data burden by learning a small synthetic training set that preserves essential knowledge from the larger real training set. To date,…
Fact-checking based fake news detection: a review
Yuzhou Yang, Yangming Zhou, Qichao Ying +3
This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets. First, the paper sys…