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{"paper_url": "https://huggingface.co/papers/2405.09798", "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* [Many-Shot In-Context Learning](https://huggingface.co/papers/2404.11018) (2024)\n* [In-Context Learning with Long-Context Models: An In-Depth Exploration](https://huggingface.co/papers/2405.00200) (2024)\n* [Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning](https://huggingface.co/papers/2405.12217) (2024)\n* [Long-context LLMs Struggle with Long In-context Learning](https://huggingface.co/papers/2404.02060) (2024)\n* [Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning](https://huggingface.co/papers/2404.12897) (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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