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+{"paper_url": "https://huggingface.co/papers/2402.06094", "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* [Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning](https://huggingface.co/papers/2402.04833) (2024)\n* [SelectLLM: Can LLMs Select Important Instructions to Annotate?](https://huggingface.co/papers/2401.16553) (2024)\n* [LongAlign: A Recipe for Long Context Alignment of Large Language Models](https://huggingface.co/papers/2401.18058) (2024)\n* [What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning](https://huggingface.co/papers/2312.15685) (2023)\n* [A Survey on Data Selection for LLM Instruction Tuning](https://huggingface.co/papers/2402.05123) (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`"}