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+{"paper_url": "https://huggingface.co/papers/2205.11200", "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* [ULPT: Prompt Tuning with Ultra-Low-Dimensional Optimization](https://huggingface.co/papers/2502.04501) (2025)\n* [EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition](https://huggingface.co/papers/2501.12067) (2025)\n* [ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning](https://huggingface.co/papers/2501.03291) (2025)\n* [UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-training Speech Models for Robust Speaker Verification](https://huggingface.co/papers/2501.16542) (2025)\n* [Differentiable Prompt Learning for Vision Language Models](https://huggingface.co/papers/2501.00457) (2024)\n* [RandLoRA: Full-rank parameter-efficient fine-tuning of large models](https://huggingface.co/papers/2502.00987) (2025)\n* [MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models](https://huggingface.co/papers/2502.11513) (2025)\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`"}