Add a new multimodal in-context learning paper

[doublejtoh]

add a new multimodal in-context learning paper,

Hijacking Context in Large Multi-modal Models

Thank you for your awesome work!

[xjtupanda]

Thanks for sharing! We have added the paper to our repo. If you find our projects helpful to your research, please consider citing:

@article{yin2023survey,
  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={arXiv preprint arXiv:2306.13549},
  year={2023}
}

@article{fu2023mme,
  title={MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models},
  author={Fu, Chaoyou and Chen, Peixian and Shen, Yunhang and Qin, Yulei and Zhang, Mengdan and Lin, Xu and Yang, Jinrui and Zheng, Xiawu and Li, Ke and Sun, Xing and Wu, Yunsheng and Ji, Rongrong},
  journal={arXiv preprint arXiv:2306.13394},
  year={2023}
}

@article{yin2023woodpecker,
  title={Woodpecker: Hallucination Correction for Multimodal Large Language Models},
  author={Yin, Shukang and Fu, Chaoyou and Zhao, Sirui and Xu, Tong and Wang, Hao and Sui, Dianbo and Shen, Yunhang and Li, Ke and Sun, Xing and Chen, Enhong},
  journal={arXiv preprint arXiv:2310.16045},
  year={2023}
}