This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. 

The following papers were recommended by the Semantic Scholar API 

* [Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models](https://huggingface.co/papers/2310.05015) (2023)
* [Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning](https://huggingface.co/papers/2310.06694) (2023)
* [Can pruning make Large Language Models more efficient?](https://huggingface.co/papers/2310.04573) (2023)
* [ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models](https://huggingface.co/papers/2310.02998) (2023)
* [Compressing LLMs: The Truth is Rarely Pure and Never Simple](https://huggingface.co/papers/2310.01382) (2023)

 Please give a thumbs up to this comment if you found it helpful!

 If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space