Add E.T. Bench to benchmarks for video understanding

[yeliudev]

No description provided.

[xjtupanda]

Thanks for sharing! We've incorporated your work.
Please also consider citing our works:

@article{yin2024survey,
  title={A survey on multimodal large language models},
  author={Yin, Shukang and Fu, Chaoyou and Zhao, Sirui and Li, Ke and Sun, Xing and Xu, Tong and Chen, Enhong},
  journal={National Science Review},
  pages={nwae403},
  year={2024},
  publisher={Oxford University Press}
}

@article{yin2024t2vid,
  title={T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs},
  author={Yin, Shukang and Fu, Chaoyou and Zhao, Sirui and Shen, Yunhang and Ge, Chunjiang and Yang, Yan and Long, Zuwei and Dai, Yuhan and Xu, Tong and Sun, Xing and others},
  journal={arXiv preprint arXiv:2411.19951},
  year={2024}
}

@article{fu2024video,
  title={Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis},
  author={Fu, Chaoyou and Dai, Yuhan and Luo, Yondong and Li, Lei and Ren, Shuhuai and Zhang, Renrui and Wang, Zihan and Zhou, Chenyu and Shen, Yunhang and Zhang, Mengdan and others},
  journal={arXiv preprint arXiv:2405.21075},
  year={2024}
}

@article{fu2024mme,
  title={MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs},
  author={Fu, Chaoyou and Zhang, Yi-Fan and Yin, Shukang and Li, Bo and Fang, Xinyu and Zhao, Sirui and Duan, Haodong and Sun, Xing and Liu, Ziwei and Wang, Liang and others},
  journal={arXiv preprint arXiv:2411.15296},
  year={2024}
}

[yeliudev]

Many thanks! We'll include the citations accordingly.