| {"paper_url": "https://huggingface.co/papers/2112.00653", "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* [PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers](https://huggingface.co/papers/2402.08327) (2024)\n* [ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling](https://huggingface.co/papers/2402.13542) (2024)\n* [Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation](https://huggingface.co/papers/2402.18150) (2024)\n* [RAFT: Adapting Language Model to Domain Specific RAG](https://huggingface.co/papers/2403.10131) (2024)\n* [M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval](https://huggingface.co/papers/2403.14074) (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`"} |