{"id":45181167,"url":"https://github.com/OSU-NLP-Group/LLM-Planner","last_synced_at":"2026-03-05T08:01:18.289Z","repository":{"id":180832177,"uuid":"665773800","full_name":"OSU-NLP-Group/LLM-Planner","owner":"OSU-NLP-Group","description":"[ICCV'23] LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models ","archived":false,"fork":false,"pushed_at":"2025-03-26T07:25:16.000Z","size":24372,"stargazers_count":187,"open_issues_count":1,"forks_count":21,"subscribers_count":9,"default_branch":"main","last_synced_at":"2025-05-24T19:04:04.384Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://osu-nlp-group.github.io/LLM-Planner/","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/OSU-NLP-Group.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-13T01:25:24.000Z","updated_at":"2025-05-22T23:12:33.000Z","dependencies_parsed_at":"2023-07-13T02:39:04.896Z","dependency_job_id":"e799f6c0-a609-46e2-9ff3-6df9d2214e4b","html_url":"https://github.com/OSU-NLP-Group/LLM-Planner","commit_stats":null,"previous_names":["osu-nlp-group/llm-planner"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/OSU-NLP-Group/LLM-Planner","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OSU-NLP-Group%2FLLM-Planner","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OSU-NLP-Group%2FLLM-Planner/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OSU-NLP-Group%2FLLM-Planner/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OSU-NLP-Group%2FLLM-Planner/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/OSU-NLP-Group","download_url":"https://codeload.github.com/OSU-NLP-Group/LLM-Planner/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OSU-NLP-Group%2FLLM-Planner/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30115662,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-05T03:40:26.266Z","status":"ssl_error","status_checked_at":"2026-03-05T03:39:15.902Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-02-20T10:00:30.837Z","updated_at":"2026-03-05T08:01:18.243Z","avatar_url":"https://github.com/OSU-NLP-Group.png","language":"C","funding_links":[],"categories":["C"],"sub_categories":[],"readme":"# LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models \n\nCode for [LLM-Planner](https://arxiv.org/abs/2212.04088).\n\nCheck [project website](https://dki-lab.github.io/LLM-Planner/) for an overview and a demo.\n\n## What's Here\n- `hlp/`: A high-level prompt generator and kNN dataset from our paper. Just bring your low-level controller (and an LLM)!\n- `e2e/`: A end-to-end agent that uses a LLM-Planner.\n\n## Quickstart\n\nCheck out the `hlp/` and `e2e/` README for more details.\n\n## Implementation Examples\nWe provide examples of how the community has been using our work. We appreciate everyone's interest!\n\n- **[DEDER](https://arxiv.org/abs/2412.11499)** – *ICML 2024*\n- **[ReALFRED](https://arxiv.org/abs/2407.18550)** – *ECCV 2024*\n- **[ExRAP](https://proceedings.neurips.cc/paper_files/paper/2024/hash/7bacd0ebd061d4694583ae0eb69ad15f-Abstract-Conference.html)** – *NeurIPS 2024*\n- **[FLARE](https://arxiv.org/abs/2412.17288)** – *AAAI 2025*\n- **[NeSyC](https://arxiv.org/abs/2503.00870)** – *ICLR 2025*\n- **[Socratic Planner](https://arxiv.org/abs/2404.15190)** – *ICRA 2025*\n\n\n## Acknowledgements\n\nWe thank [OSUNLP](https://x.com/osunlp) for providing valuable feedback and suggestions.\n\n## License\n\n- LLM-Planner - MIT License\n\n## Contact\n\nQuestions or issues? File an issue or contact [Luke Song](https://chanh.ee)\n\n## Citation Information\n\n```\n@InProceedings{song2023llmplanner,\n  author    = {Song, Chan Hee and Wu, Jiaman and Washington, Clayton and Sadler, Brian M. and Chao, Wei-Lun and Su, Yu},\n  title     = {LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models},\n  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  month     = {October},\n  year      = {2023},\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FOSU-NLP-Group%2FLLM-Planner","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FOSU-NLP-Group%2FLLM-Planner","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FOSU-NLP-Group%2FLLM-Planner/lists"}