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@@ -24,5 +24,12 @@ We present Liquid, an auto-regressive generation paradigm that seamlessly integr
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**Output** Models generate text or generated image.
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**Model Architecture** Liquid is an auto-regressive model extending from existing LLMs that uses an transformer architecture.
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**Output** Models generate text or generated image.
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**Model Architecture** Liquid is an auto-regressive model extending from existing LLMs that uses an transformer architecture.
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**Citation instructions** @article{wu2024liquid,
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title={Liquid: Language Models are Scalable Multi-modal Generators},
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author={Wu, Junfeng and Jiang, Yi and Ma, Chuofan and Liu, Yuliang and Zhao, Hengshuang and Yuan, Zehuan and Bai, Song and Bai, Xiang},
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journal={arXiv preprint arXiv:2412.04332},
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year={2024}
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}
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