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data/2403.08350.json

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+{"paper_url": "https://huggingface.co/papers/2403.08350", "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* [HFT: Half Fine-Tuning for Large Language Models](https://huggingface.co/papers/2404.18466) (2024)\n* [CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning](https://huggingface.co/papers/2403.10245) (2024)\n* [Scalable Language Model with Generalized Continual Learning](https://huggingface.co/papers/2404.07470) (2024)\n* [MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts](https://huggingface.co/papers/2404.09027) (2024)\n* [Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters](https://huggingface.co/papers/2403.11549) (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`"}

data/2403.16187.json

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+{"paper_url": "https://huggingface.co/papers/2403.16187", "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* [AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning](https://huggingface.co/papers/2403.09113) (2024)\n* [Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation](https://huggingface.co/papers/2404.04316) (2024)\n* [AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models](https://huggingface.co/papers/2403.13269) (2024)\n* [LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning](https://huggingface.co/papers/2403.17919) (2024)\n* [BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models](https://huggingface.co/papers/2403.13037) (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`"}