| {"paper_url": "https://huggingface.co/papers/1610.10099", "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* [Transformer-Encoder Trees for Efficient Multilingual Machine Translation and Speech Translation](https://huggingface.co/papers/2509.17930) (2025)\n* [ResFormer: All-Time Reservoir Memory for Long Sequence Classification](https://huggingface.co/papers/2509.24074) (2025)\n* [Gated Associative Memory: A Parallel O(N) Architecture for Efficient Sequence Modeling](https://huggingface.co/papers/2509.00605) (2025)\n* [Efficient Transformer-Based Piano Transcription With Sparse Attention Mechanisms](https://huggingface.co/papers/2509.09318) (2025)\n* [DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment](https://huggingface.co/papers/2509.18987) (2025)\n* [Pre-Trained CNN Architecture for Transformer-Based Image Caption Generation Model](https://huggingface.co/papers/2509.17365) (2025)\n* [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study](https://huggingface.co/papers/2510.10936) (2025)\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`"} |