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+{"paper_url": "https://huggingface.co/papers/2106.12672", "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* [Symmetric Dot-Product Attention for Efficient Training of BERT Language Models](https://huggingface.co/papers/2406.06366) (2024)\n* [Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation](https://huggingface.co/papers/2405.19290) (2024)\n* [Investigating Decoder-only Large Language Models for Speech-to-text Translation](https://huggingface.co/papers/2407.03169) (2024)\n* [Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages](https://huggingface.co/papers/2406.12739) (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`"}