| {"paper_url": "https://huggingface.co/papers/2309.15251", "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* [AD-CLIP: Adapting Domains in Prompt Space Using CLIP](https://huggingface.co/papers/2308.05659) (2023)\n* [Read-only Prompt Optimization for Vision-Language Few-shot Learning](https://huggingface.co/papers/2308.14960) (2023)\n* [PRE: Vision-Language Prompt Learning with Reparameterization Encoder](https://huggingface.co/papers/2309.07760) (2023)\n* [GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning](https://huggingface.co/papers/2308.11605) (2023)\n* [DPL: Decoupled Prompt Learning for Vision-Language Models](https://huggingface.co/papers/2308.10061) (2023)\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"} |