{
 "id": "RyanWW/XModBench",
 "owner": "RyanWW",
 "name": "XModBench",
 "downloads": 1032,
 "likes": 3,
 "last_modified": "2026-05-20T07:22:01.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "multiple-choice",
  "audio-classification",
  "visual-question-answering"
 ],
 "citation": "@inproceedings{wang2026xmodbench,\n  title     = {XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models},\n  author    = {Wang, Xingrui and Liu, Jiang and Huang, Chao and Yu, Xiaodong and Wang, Ze and Sun, Ximeng and Wu, Jialian and Yuille, Alan and Barsoum, Emad and Liu, Zicheng},\n  booktitle = {International Conference on Learning Representations (ICLR)},\n  year      = {2026},\n  url       = {https://arxiv.org/abs/2510.15148}\n}",
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 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "a679188cf062b9810d2e09c2edabc0b1aef9f244",
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}