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+ {"paper_url": "https://huggingface.co/papers/2309.16671", "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* [Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters](https://huggingface.co/papers/2403.02677) (2024)\n* [Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity](https://huggingface.co/papers/2403.12267) (2024)\n* [Do CLIPs Always Generalize Better than ImageNet Models?](https://huggingface.co/papers/2403.11497) (2024)\n* [No\"Zero-Shot\"Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance](https://huggingface.co/papers/2404.04125) (2024)\n* [Text Data-Centric Image Captioning with Interactive Prompts](https://huggingface.co/papers/2403.19193) (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`"}