data/1802.01817.json

{"paper_url": "https://huggingface.co/papers/1802.01817", "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* [Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation](https://huggingface.co/papers/2405.19290) (2024)\n* [Small-E: Small Language Model with Linear Attention for Efficient Speech Synthesis](https://huggingface.co/papers/2406.04467) (2024)\n* [SpaceByte: Towards Deleting Tokenization from Large Language Modeling](https://huggingface.co/papers/2404.14408) (2024)\n* [GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System](https://huggingface.co/papers/2404.14062) (2024)\n* [Rethinking the adaptive relationship between Encoder Layers and Decoder Layers](https://huggingface.co/papers/2405.08570) (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`"}