data/2304.11477.json

{"paper_url": "https://huggingface.co/papers/2304.11477", "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* [TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models](https://huggingface.co/papers/2403.17246) (2024)\n* [NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions](https://huggingface.co/papers/2405.04215) (2024)\n* [DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models](https://huggingface.co/papers/2404.03275) (2024)\n* [Large Language Models as Planning Domain Generators (Student Abstract)](https://huggingface.co/papers/2405.06650) (2024)\n* [Empowering Large Language Models on Robotic Manipulation with Affordance Prompting](https://huggingface.co/papers/2404.11027) (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`"}