| {"paper_url": "https://huggingface.co/papers/2104.09864", "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* [VRoPE: Rotary Position Embedding for Video Large Language Models](https://huggingface.co/papers/2502.11664) (2025)\n* [Sliding Window Attention Training for Efficient Large Language Models](https://huggingface.co/papers/2502.18845) (2025)\n* [Context-aware Biases for Length Extrapolation](https://huggingface.co/papers/2503.08067) (2025)\n* [Training Sparse Mixture Of Experts Text Embedding Models](https://huggingface.co/papers/2502.07972) (2025)\n* [HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding](https://huggingface.co/papers/2503.14694) (2025)\n* [Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models](https://huggingface.co/papers/2502.17206) (2025)\n* [Forgetting Transformer: Softmax Attention with a Forget Gate](https://huggingface.co/papers/2503.02130) (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`"} |