| {"paper_url": "https://huggingface.co/papers/2112.12777", "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* [CLIPRerank: An Extremely Simple Method for Improving Ad-hoc Video Search](https://huggingface.co/papers/2401.08449) (2024)\n* [FreestyleRet: Retrieving Images from Style-Diversified Queries](https://huggingface.co/papers/2312.02428) (2023)\n* [PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models](https://huggingface.co/papers/2312.02429) (2023)\n* [Do Vision and Language Encoders Represent the World Similarly?](https://huggingface.co/papers/2401.05224) (2024)\n* [LeanVec: Search your vectors faster by making them fit](https://huggingface.co/papers/2312.16335) (2023)\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`"} |