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+{"paper_url": "https://huggingface.co/papers/2310.15719", "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* [Boosting X-formers with Structured Matrix for Long Sequence Time Series Forecasting](https://huggingface.co/papers/2405.12462) (2024)\n* [Skip-Layer Attention: Bridging Abstract and Detailed Dependencies in Transformers](https://huggingface.co/papers/2406.11274) (2024)\n* [Breaking the Attention Bottleneck](https://huggingface.co/papers/2406.10906) (2024)\n* [Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures](https://huggingface.co/papers/2405.20799) (2024)\n* [Block Transformer: Global-to-Local Language Modeling for Fast Inference](https://huggingface.co/papers/2406.02657) (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`"}