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+{"paper_url": "https://huggingface.co/papers/2303.15343", "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* [LoTLIP: Improving Language-Image Pre-training for Long Text Understanding](https://huggingface.co/papers/2410.05249) (2024)\n* [NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training](https://huggingface.co/papers/2409.09582) (2024)\n* [Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word Frequency](https://huggingface.co/papers/2410.10879) (2024)\n* [Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment](https://huggingface.co/papers/2409.01936) (2024)\n* [Contrastive Localized Language-Image Pre-Training](https://huggingface.co/papers/2410.02746) (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`"}