data/2309.11506.json

{"paper_url": "https://huggingface.co/papers/2309.11506", "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* [Vectorizing string entries for data processing on tables: when are larger language models better?](https://huggingface.co/papers/2312.09634) (2023)\n* [DBCopilot: Scaling Natural Language Querying to Massive Databases](https://huggingface.co/papers/2312.03463) (2023)\n* [Rethinking E-Commerce Search](https://huggingface.co/papers/2312.03217) (2023)\n* [TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning](https://huggingface.co/papers/2312.09039) (2023)\n* [LLMs for Test Input Generation for Semantic Caches](https://huggingface.co/papers/2401.08138) (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`"}