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@@ -133,8 +133,11 @@ print(output)
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  ## Model Sources
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- - **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears)
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- - **Paper:** [Shears: Unstructured Sparsity with Neural Low-rank Adapter Search](https://arxiv.org/abs/2404.10934)
 
 
 
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  ## Ethical Considerations
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@@ -151,11 +154,23 @@ Intel is committed to respecting human rights and avoiding causing or contributi
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  ## Citation
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  ```bash
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- @inproceedings{munoz2024shears,
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- title = {Shears: Unstructured Sparsity with Neural Low-rank Adapter Search},
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- author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
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- booktitle={The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2024)},
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- year={2024}
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ```
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  ## Model Sources
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+ **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears)
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+
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+ **Paper:**
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+ - [Shears: Unstructured Sparsity with Neural Low-rank Adapter Search](https://arxiv.org/abs/2404.10934)
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+ - [Low-Rank Adapters Meet Neural Architecture Search for LLM Compression](https://arxiv.org/abs/2501.16372)
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  ## Ethical Considerations
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  ## Citation
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  ```bash
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+ @inproceedings{munoz-etal-2024-shears,
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+ title = "Shears: Unstructured Sparsity with Neural Low-rank Adapter Search",
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+ author = "Mu{\~n}oz, J. Pablo and
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+ Yuan, Jinjie and
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+ Jain, Nilesh",
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+ editor = "Yang, Yi and
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+ Davani, Aida and
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+ Sil, Avi and
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+ Kumar, Anoop",
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+ booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)",
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+ month = jun,
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+ year = "2024",
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+ address = "Mexico City, Mexico",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2024.naacl-industry.34",
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+ doi = "10.18653/v1/2024.naacl-industry.34",
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+ pages = "395--405",
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  }
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  ```
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