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{"paper_url": "https://huggingface.co/papers/2311.08849", "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* [Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment](https://huggingface.co/papers/2406.19759) (2024)\n* [An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models](https://huggingface.co/papers/2407.05841) (2024)\n* [UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages](https://huggingface.co/papers/2406.09717) (2024)\n* [Vocabulary Expansion for Low-resource Cross-lingual Transfer](https://huggingface.co/papers/2406.11477) (2024)\n* [News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation](https://huggingface.co/papers/2406.12634) (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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