| {"paper_url": "https://huggingface.co/papers/2203.16634", "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 Effective are State Space Models for Machine Translation?](https://huggingface.co/papers/2407.05489) (2024)\n* [Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models](https://huggingface.co/papers/2407.17406) (2024)\n* [Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell](https://huggingface.co/papers/2406.14673) (2024)\n* [T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings](https://huggingface.co/papers/2406.19223) (2024)\n* [Understanding and Mitigating Tokenization Bias in Language Models](https://huggingface.co/papers/2406.16829) (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`"} |