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+{"paper_url": "https://huggingface.co/papers/2310.02025", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning](https://huggingface.co/papers/2406.18060) (2024)\n* [Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity](https://huggingface.co/papers/2406.02913) (2024)\n* [Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training](https://huggingface.co/papers/2405.17130) (2024)\n* [AdaFisher: Adaptive Second Order Optimization via Fisher Information](https://huggingface.co/papers/2405.16397) (2024)\n* [Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation](https://huggingface.co/papers/2406.13283) (2024)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}