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@@ -91,4 +91,17 @@ cont = model.generate(
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  )
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  text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True)
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  print(text_outputs[0])
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  )
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  text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True)
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  print(text_outputs[0])
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+ ```
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+
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+ ## Citation
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+
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+ If you find our repo useful for your research, please consider citing our paper:
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+
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+ ```bibtex
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+ @article{sun2025llava,
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+ title={LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs},
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+ author={Sun, Boyuan and Zhao, Jiaxing and Wei, Xihan and Hou, Qibin},
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+ journal={arXiv preprint arXiv:2506.21862},
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+ year={2025}
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+ }
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  ```