| {"paper_url": "https://huggingface.co/papers/2301.12597", "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* [X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs](https://huggingface.co/papers/2407.13851) (2024)\n* [Enhancing Vision-Language Model with Unmasked Token Alignment](https://huggingface.co/papers/2405.19009) (2024)\n* [A Single Transformer for Scalable Vision-Language Modeling](https://huggingface.co/papers/2407.06438) (2024)\n* [Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning](https://huggingface.co/papers/2406.07543) (2024)\n* [Multi-Modal Generative Embedding Model](https://huggingface.co/papers/2405.19333) (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`"} |