AI RESEARCH
GenVideoLens: Where LVLMs Fall Short in AI-Generated Video Detection?
arXiv CS.CV
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ArXi:2603.18625v1 Announce Type: new In recent years, AI-generated videos have become increasingly realistic and sophisticated. Meanwhile, Large Vision-Language Models (LVLMs) have shown strong potential for detecting such content. However, existing evaluation protocols largely treat the task as a binary classification problem and rely on coarse-grained metrics such as overall accuracy, providing limited insight into where LVLMs succeed or fail. To address this limitation, we