data/2206.07682.json

{"paper_url": "https://huggingface.co/papers/2206.07682", "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* [How predictable is language model benchmark performance?](https://huggingface.co/papers/2401.04757) (2024)\n* [TinyLlama: An Open-Source Small Language Model](https://huggingface.co/papers/2401.02385) (2024)\n* [Distilling LLMs' Decomposition Abilities into Compact Language Models](https://huggingface.co/papers/2402.01812) (2024)\n* [Supervised Knowledge Makes Large Language Models Better In-context Learners](https://huggingface.co/papers/2312.15918) (2023)\n* [Can Large Language Models Understand Context?](https://huggingface.co/papers/2402.00858) (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`"}