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data/2209.11035.json

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+{"paper_url": "https://huggingface.co/papers/2209.11035", "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* [Lugha-Llama: Adapting Large Language Models for African Languages](https://huggingface.co/papers/2504.06536) (2025)\n* [llm-jp-modernbert: A ModernBERT Model Trained on a Large-Scale Japanese Corpus with Long Context Length](https://huggingface.co/papers/2504.15544) (2025)\n* [UniBERTs: Adversarial Training for Language-Universal Representations](https://huggingface.co/papers/2503.12608) (2025)\n* [Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training](https://huggingface.co/papers/2504.01801) (2025)\n* [Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training](https://huggingface.co/papers/2504.20484) (2025)\n* [Investigating the Effect of Parallel Data in the Cross-Lingual Transfer for Vision-Language Encoders](https://huggingface.co/papers/2504.21681) (2025)\n* [Enhancing Multilingual Language Models for Code-Switched Input Data](https://huggingface.co/papers/2503.07990) (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`"}

data/2503.21262.json

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+{"paper_url": "https://huggingface.co/papers/2503.21262", "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* [ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale Stages](https://huggingface.co/papers/2504.14825) (2025)\n* [Small Vision-Language Models: A Survey on Compact Architectures and Techniques](https://huggingface.co/papers/2503.10665) (2025)\n* [MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework](https://huggingface.co/papers/2504.13574) (2025)\n* [LSNet: See Large, Focus Small](https://huggingface.co/papers/2503.23135) (2025)\n* [GFT: Gradient Focal Transformer](https://huggingface.co/papers/2504.09852) (2025)\n* [DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition](https://huggingface.co/papers/2503.14867) (2025)\n* [Cross Paradigm Representation and Alignment Transformer for Image Deraining](https://huggingface.co/papers/2504.16455) (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`"}