📄 MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Paper · 2023 · Haozhe Zhao, Zefan Cai, Shuzheng Si et al.

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

🏛️ Institutions

🎓University of WashingtonSeattle · United States353 works · 200,043 citations🎓Peking UniversityBeijing · China244 works · 39,359 citations🎓Beijing Jiaotong UniversityBeijing · China22 works · 1,754 citations

🧭 Fields, topics and concepts

Cite

Cite as Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han and Baobao Chang. 2023. MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. arXiv:2309.07915.

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.48550/arxiv.2309.07915 · arXiv 2309.07915

@misc{zhao2023mmicl,
  title = {{MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning}},
  author = {Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han and Baobao Chang},
  year = {2023},
  doi = {10.48550/arxiv.2309.07915},
  eprint = {2309.07915},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.48550/arxiv.2309.07915}
}

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