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llvms4protest: Large Language and Vision Models for Protests

Thanks for being interested in using LLVMs to infer protest in texts and images.

When you use one or two of these models, you agree to cite the following papers:

@article{zhang2023generative, title={Generative AI has lowered the barriers to computational social sciences}, author={Zhang, Yongjun}, journal={arXiv preprint arXiv:2311.10833}, year={2023} }

@article{zhang2023llvms4protest, title={LLVMs4Protest: Harnessing the Power of Large Language and Vision Models for Deciphering Protests in the News}, author={Zhang, Yongjun}, journal={arXiv preprint arXiv:2311.18241}, year={2023} }

You also agree that these models are solely used for academic purposes.

You can access all models via this dropbox link: https://www.dropbox.com/scl/fo/99hkkgfmqan75xmwkh3z2/h?rlkey=upisotxf1mn61y8qrswtjga19&dl=0

The passcode is llm4protest. If you have any questions regarding how to use the models, feel free to email yongjun.zhang@stonybrook.

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Large Language and Vision Models for Protests

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