bigai-nlco/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/bigai-nlco/VideoHallucer.
| Author / organization | bigai-nlco |
|---|---|
| License (as declared) | mit |
| Downloads | 2.8K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 7 June 2024 |
| Last updated at source | 24 October 2025 |
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- 16 Oct 2026 Description: 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 → 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
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