paper-recommendations-v2 / data /2212.10560.json
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{"paper_url": "https://huggingface.co/papers/2212.10560", "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* [Efficacy of Machine-Generated Instructions](https://huggingface.co/papers/2312.14423) (2023)\n* [SelectLLM: Can LLMs Select Important Instructions to Annotate?](https://huggingface.co/papers/2401.16553) (2024)\n* [Benchmarking Large Language Models on Controllable Generation under Diversified Instructions](https://huggingface.co/papers/2401.00690) (2024)\n* [Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation](https://huggingface.co/papers/2401.06477) (2024)\n* [WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation](https://huggingface.co/papers/2312.14187) (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`"}