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{"paper_url": "https://huggingface.co/papers/2404.00495", "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* [Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates](https://huggingface.co/papers/2402.18540) (2024)\n* [Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning](https://huggingface.co/papers/2402.13669) (2024)\n* [Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models](https://huggingface.co/papers/2402.02207) (2024)\n* [AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting](https://huggingface.co/papers/2403.09513) (2024)\n* [Guardrail Baselines for Unlearning in LLMs](https://huggingface.co/papers/2403.03329) (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`"}
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