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@@ -36,9 +36,17 @@ The pretraining process focused on training only the projection matrix. This mat
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  The dataset used for this pretraining is a Turkish version of the English dataset employed in prior research. The translation was carefully executed to preserve the nuances and context of the original data. In this pretraining phase, the model only learns to interpret the output of the image encoder, focusing on how to align visual information with the language model. As a result, the model is not yet capable of engaging in conversations or handling task-specific queries.
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- ## Citation
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-
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- If you use this dataset or the pretraining setup in your research, please consider citing our [paper](#) (Soon..).
 
 
 
 
 
 
 
 
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  ## Contact
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  The dataset used for this pretraining is a Turkish version of the English dataset employed in prior research. The translation was carefully executed to preserve the nuances and context of the original data. In this pretraining phase, the model only learns to interpret the output of the image encoder, focusing on how to align visual information with the language model. As a result, the model is not yet capable of engaging in conversations or handling task-specific queries.
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+ # Citation
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+ ```bibtex
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+ @inproceedings{zeer2024cosmos,
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+ title={Cosmos-LLaVA: Chatting with the Visual},
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+ author={Zeer, Ahmed and Dogan, Eren and Erdem, Yusuf and {\.I}nce, Elif and Shbib, Osama and Uzun, M Egemen and Uz, Atahan and Yuce, M Kaan and Kesgin, H Toprak and Amasyali, M Fatih},
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+ booktitle={2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)},
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+ pages={1--7},
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+ year={2024},
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+ organization={IEEE}
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+ }
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+ ```
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  ## Contact
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