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{"paper_url": "https://huggingface.co/papers/2211.09761", "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* [MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization](https://huggingface.co/papers/2407.08818) (2024)\n* [Breaking the Attention Bottleneck](https://huggingface.co/papers/2406.10906) (2024)\n* [Unsupervised Morphological Tree Tokenizer](https://huggingface.co/papers/2406.15245) (2024)\n* [T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings](https://huggingface.co/papers/2406.19223) (2024)\n* [Exploring the Benefits of Tokenization of Discrete Acoustic Units](https://huggingface.co/papers/2406.05547) (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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