data/2211.05100.json

{"paper_url": "https://huggingface.co/papers/2211.05100", "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* [Nemotron-4 15B Technical Report](https://huggingface.co/papers/2402.16819) (2024)\n* [Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese](https://huggingface.co/papers/2403.13638) (2024)\n* [Latxa: An Open Language Model and Evaluation Suite for Basque](https://huggingface.co/papers/2403.20266) (2024)\n* [Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order](https://huggingface.co/papers/2404.00399) (2024)\n* [Gl\u00f3rIA: A Generative and Open Large Language Model for Portuguese](https://huggingface.co/papers/2402.12969) (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`"}