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+{"paper_url": "https://huggingface.co/papers/2401.04578", "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* [MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric](https://huggingface.co/papers/2403.07839) (2024)\n* [Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity](https://huggingface.co/papers/2403.12267) (2024)\n* [Balanced Data Sampling for Language Model Training with Clustering](https://huggingface.co/papers/2402.14526) (2024)\n* [SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models](https://huggingface.co/papers/2403.07384) (2024)\n* [PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck](https://huggingface.co/papers/2403.05297) (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`"}