ov015/VideoHallucer

VideoHallucer Paper: https://huggingface.co/papers/2406.16338 This work introduces VideoHallucer, the first comprehensive benchmark for hallucination detection in large video-language models (LVLMs). VideoHallucer categorizes hallucinations into two main types: intrinsic and extrinsic, offering further subcategories for detailed analysis, including object-relation, temporal, semantic detail, extrinsic factual, and extrinsic non-factual hallucinations. We adopt an adversarial… See the full description on the dataset page: https://huggingface.co/datasets/ov015/VideoHallucer.