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@@ -40,4 +40,15 @@ hf (pretrained=Gausson/pythia-160m-deduped-SepLLM), gen_kwargs: (None), limit: N
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  | | |none | 5|word_perplexity|↓ |30.3488|± | N/A|
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  |winogrande | 1|none | 5|acc |↑ | 0.5304|± |0.0140|
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  |wsc | 1|none | 5|acc |↑ | 0.3750|± |0.0477|
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  | | |none | 5|word_perplexity|↓ |30.3488|± | N/A|
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  |winogrande | 1|none | 5|acc |↑ | 0.5304|± |0.0140|
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  |wsc | 1|none | 5|acc |↑ | 0.3750|± |0.0477|
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+ ```
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+
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+ If you find our work helpful, please consider giving us a star ⭐ @ our [`GitHub repository`](https://github.com/HKUDS/SepLLM) and citing our paper. We greatly appreciate your support 😄
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+ ```
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+ @inproceedings{chen2025sepllm,
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+ title={{SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator}},
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+ author={Chen, Guoxuan and Shi, Han and Li, Jiawei and Gao, Yihang and Ren, Xiaozhe and Chen, Yimeng and Jiang, Xin and Li, Zhenguo and Liu, Weiyang and Huang, Chao},
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+ booktitle={Proceedings of the Forty-Second International Conference on Machine Learning (ICML)},
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+ year={2025},
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+ note={Also available at arXiv:2412.12094}
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+ }
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  ```