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+{"paper_url": "https://huggingface.co/papers/2403.04190", "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* [Best Practices and Lessons Learned on Synthetic Data for Language Models](https://huggingface.co/papers/2404.07503) (2024)\n* [A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models](https://huggingface.co/papers/2404.14445) (2024)\n* [Group-wise Prompting for Synthetic Tabular Data Generation using Large Language Models](https://huggingface.co/papers/2404.12404) (2024)\n* [GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs](https://huggingface.co/papers/2404.00189) (2024)\n* [Better Synthetic Data by Retrieving and Transforming Existing Datasets](https://huggingface.co/papers/2404.14361) (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`"}