{
 "id": "Chen-15/AVID",
 "owner": "Chen-15",
 "name": "AVID",
 "downloads": 73,
 "likes": 0,
 "last_modified": "2026-06-17T06:33:52.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "video-classification",
  "question-answering"
 ],
 "citation": "@inproceedings{chen2026avid,\n  title={AVID: Benchmarking Audio-Visual Inconsistency Understanding for Omni-Modal Language Models},\n  author={Chen, Zixuan and Wang, Depeng and Lin, Hao and Luo, Li and Xu, Ke and Guo, Ya and Zhu, Huijia and Sun, Tanfeng and Jiang, Xinghao},\n  booktitle={Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  year={2026}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "6f36554fa40ea8dc379de54040e165a13fe89e89",
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}