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@@ -54,6 +54,17 @@ To facilitate reproducibility and further research in computational ethology, we
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  * **Training Dataset:** [Meow-10K](https://huggingface.co/datasets/smgjch/meow-10k) — The 10,000 sample dataset used for training.
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  * **Evaluation Benchmark:** [MeowBench](https://huggingface.co/datasets/smgjch/MeowBench) — The expert-verified quad-modal benchmark suite.
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- ## Citation
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-
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- Coming Soon.
 
 
 
 
 
 
 
 
 
 
 
 
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  * **Training Dataset:** [Meow-10K](https://huggingface.co/datasets/smgjch/meow-10k) — The 10,000 sample dataset used for training.
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  * **Evaluation Benchmark:** [MeowBench](https://huggingface.co/datasets/smgjch/MeowBench) — The expert-verified quad-modal benchmark suite.
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+ # 📝 Citation
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+ If you find our work helpful, please cite us using the following BibTeX entry:
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+
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+ ```bibtex
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+ @misc{hu2026meowomni1multimodallarge,
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+ title={Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology},
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+ author={Jucheng Hu and Zhangquan Chen and Yulin Chen and Chengjie Hong and Liang Zhou and Tairan Wang and Sifei Li and Giulio Zhu and Feng Zhou and Yiheng Zeng and Suorong Yang and Dongzhan Zhou},
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+ year={2026},
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+ eprint={2605.09152},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2605.09152},
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+ }
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+ ```