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{"paper_url": "https://huggingface.co/papers/2309.05463", "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* [Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling](https://huggingface.co/papers/2401.16380) (2024)\n* [OMPGPT: A Generative Pre-trained Transformer Model for OpenMP](https://huggingface.co/papers/2401.16445) (2024)\n* [Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4](https://huggingface.co/papers/2312.16171) (2023)\n* [Language Resources for Dutch Large Language Modelling](https://huggingface.co/papers/2312.12852) (2023)\n* [TinyGSM: achieving >80% on GSM8k with small language models](https://huggingface.co/papers/2312.09241) (2023)\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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