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@@ -47,6 +47,16 @@ AdaMLLM represents our latest advancement in building domain-specific foundation
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  ## Citation
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  If you find our work helpful, please cite us.
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  [AdaptLLM](https://huggingface.co/papers/2309.09530) (ICLR 2024)
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  ```bibtex
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  @inproceedings{
 
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  ## Citation
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  If you find our work helpful, please cite us.
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+ AdaMLLM
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+ ```bibtex
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+ @article{adamllm,
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+ title={On Domain-Specific Post-Training for Multimodal Large Language Models},
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+ author={Cheng, Daixuan and Huang, Shaohan and Zhu, Ziyu and Zhang, Xintong and Zhao, Wayne Xin and Luan, Zhongzhi and Dai, Bo and Zhang, Zhenliang},
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+ journal={arXiv preprint arXiv:2411.19930},
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+ year={2024}
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+ }
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+ ```
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+
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  [AdaptLLM](https://huggingface.co/papers/2309.09530) (ICLR 2024)
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  ```bibtex
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  @inproceedings{