{"id":72928,"url":"https://github.com/AGI-Edgerunners/LLM-Planning-Papers","name":"LLM-Planning-Papers","description":"Must-read Papers on Large Language Model (LLM) Planning.","projects_count":38,"last_synced_at":"2026-10-18T03:00:20.370Z","repository":{"id":187880006,"uuid":"677744419","full_name":"AGI-Edgerunners/LLM-Planning-Papers","owner":"AGI-Edgerunners","description":"Must-read Papers on Large Language Model (LLM) Planning.","archived":false,"fork":false,"pushed_at":"2024-07-04T05:19:56.000Z","size":119,"stargazers_count":440,"open_issues_count":2,"forks_count":19,"subscribers_count":16,"default_branch":"main","last_synced_at":"2026-10-13T06:48:54.571Z","etag":null,"topics":["awesome-list","large-language-models","llm","paper-list","papers","planning","review","survey"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AGI-Edgerunners.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2023-08-12T13:50:04.000Z","updated_at":"2026-09-11T08:10:39.000Z","dependencies_parsed_at":"2023-08-12T15:14:24.672Z","dependency_job_id":"0fa173bd-c320-467d-b603-977f31c884ff","html_url":"https://github.com/AGI-Edgerunners/LLM-Planning-Papers","commit_stats":{"total_commits":35,"total_committers":1,"mean_commits":35.0,"dds":0.0,"last_synced_commit":"fe15884c58bcacf082bfa67278f58495767486d9"},"previous_names":["agi-edgerunners/llm-planning-papers"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AGI-Edgerunners/LLM-Planning-Papers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AGI-Edgerunners%2FLLM-Planning-Papers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AGI-Edgerunners%2FLLM-Planning-Papers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AGI-Edgerunners%2FLLM-Planning-Papers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AGI-Edgerunners%2FLLM-Planning-Papers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AGI-Edgerunners","download_url":"https://codeload.github.com/AGI-Edgerunners/LLM-Planning-Papers/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AGI-Edgerunners%2FLLM-Planning-Papers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":344872684,"owners_count":38336242,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-10-03T21:59:58.778Z","status":"online","status_checked_at":"2026-10-18T02:00:06.448Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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"}},"created_at":"2024-10-09T00:00:24.501Z","updated_at":"2026-10-18T03:00:20.370Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["🗞️ Papers",":star: Star History"],"sub_categories":[],"readme":"# LLM-Planning-Papers\n\nMust-Read Papers on the Planning ability of Large Language Models (LLMs).\n\n---\n\n## 🏷️ News\n\n- **2023-08-12 We create this paper list on *LLM Planning* .**\n\n## 🗞️ Papers\n\n1. **Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents**\n\n   *Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch.* [[abs](https://arxiv.org/abs/2201.07207)], [[code](https://huangwl18.github.io/language-planner)], ICML 2022\n\n1. **Least-to-Most Prompting Enables Complex Reasoning in Large Language Models**\n\n   *Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, Ed Chi.* [[abs](https://arxiv.org/abs/2205.10625)], ICLR 2023\n\n1. **On Grounded Planning for Embodied Tasks with Language Models**\n\n   *Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren.* [[abs](https://arxiv.org/abs/2209.00465)], [[code](https://github.com/INK-USC/G-PlanET)], AAAI 2023\n\n1. **On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark**\n\n   *Karthik Valmeekam, S. Sreedharan, Matthew Marquez, Alberto Olmo Hernandez, Subbarao Kambhampati.* [[abs](https://arxiv.org/abs/2302.06706)], NeurIPS 2023\n\n1. **LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models**\n\n   *Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su.* [[abs](https://arxiv.org/abs/2212.04088)], [[code](https://dki-lab.github.io/LLM-Planner/)], ICCV 2023\n\n1. **Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents**\n\n   *Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang.* [[abs](https://arxiv.org/abs/2302.01560)], [[code](https://github.com/CraftJarvis/MC-Planner)], NeurIPS 2023\n\n1. **Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models**\n\n   *Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim.* [[abs](https://arxiv.org/abs/2305.04091)], [[code](https://github.com/AGI-Edgerunners/Plan-and-Solve-Prompting)], ACL 2023.5\n\n1. **Large Language Models as Commonsense Knowledge for Large-Scale Task Planning**\n\n   *Zirui Zhao Wee Sun Lee David Hsu.* [[abs](https://arxiv.org/abs/2305.14078)], NeurIPS 2023.5\n\n1. **Multimodal Procedural Planning via Dual Text-Image Prompting**\n\n   *Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Eric Wang, William Yang Wang.* [[abs](https://arxiv.org/abs/2305.01795)], [[code](https://github.com/YujieLu10/TIP)], Preprint 2023.5\n\n1. **LLM+P: Empowering Large Language Models with Optimal Planning Proficiency**\n\n   *Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone.* [[abs](https://arxiv.org/abs/2304.11477)], [[code](https://github.com/Cranial-XIX/llm-pddl.git)], Preprint 2023.5\n\n1. **Tree of Thoughts: Deliberate Problem Solving with Large Language Models**\n\n   *Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan.* [[abs](https://arxiv.org/abs/2305.10601)], [[code](https://github.com/ysymyth/tree-of-thought-llm)], Preprint 2023.5\n\n1. **PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents**\n\n   *Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer.* [[abs](https://arxiv.org/abs/2305.14564)], [[code](https://github.com/SimengSun/pearl)], Preprint 2023.5\n\n1. **Reasoning with Language Model is Planning with World Model**\n\n   *Shibo Hao, Yilan Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, D. Wang, Zhiting Hu.* [[abs](https://arxiv.org/abs/2305.14992)], [[code](https://github.com/SimengSun/pearl)], Preprint 2023.5\n\n1. **Understanding the Capabilities of Large Language Models for Automated Planning**\n\n   *Vishal Pallagani, Bharath Muppasani, K. Murugesan, F. Rossi, Biplav Srivastava, L. Horesh, F. Fabiano, Andrea Loreggia.* [[abs](https://arxiv.org/abs/2305.16151)], Preprint 2023.5\n\n1. **Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning**\n\n   *Vishal Pallagani, Bharath Muppasani, K. Murugesan, F. Rossi, Biplav Srivastava, L. Horesh, F. Fabiano, Andrea Loreggia.* [[abs](https://arxiv.org/abs/2305.14909)], [[code](https://github.com/GuanSuns/LLMs-World-Models-for-Planning)], Preprint 2023.5\n\n1. **AdaPlanner: Adaptive Planning from Feedback with Language Models**\n\n   *Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang.* [[abs](https://arxiv.org/abs/2305.16653)], [[code](https://github.com/haotiansun14/AdaPlanner)], Preprint 2023.5\n\n1. **A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis**\n\n   *Izzeddin Gur , Hiroki Furuta , Austin Huang , Mustafa Safdari , Yutaka Matsuo , Douglas Eck , Aleksandra Faust.* [[abs](https://arxiv.org/abs/2307.12856)], Preprint 2023.7\n\n1. **MetaGPT: Meta Programming for Multi-Agent Collaborative Framework**\n\n   *Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu.* [[abs](https://arxiv.org/abs/2308.00352)], [[code](https://github.com/geekan/metagpt)], Preprint 2023.8\n\n1. **Dynamic Planning with a LLM**\n\n   *Gautier Dagan, Frank Keller, Alex Lascarides.* [[abs](https://arxiv.org/abs/2308.06391)], Preprint 2023.8\n\n1. **TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents**\n\n   *Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, Rui Zhao.* [[abs](https://arxiv.org/abs/2308.03427)], Preprint 2023.8\n\n1. **CodePlan: Repository-level Coding using LLMs and Planning**\n\n    *Ramakrishna Bairi , Atharv Sonwane , Aditya Kanade , Vageesh D C , Arun Iyer , Suresh Parthasarathy , Sriram Rajamani , B. Ashok , Shashank Shet.* [[abs](https://arxiv.org/abs/2309.12499)], Preprint 2023.9\n\n1. **Compositional Foundation Models for Hierarchical Planning**\n\n    *Anurag Ajay , Seungwook Han , Yilun Du , Shaung Li , Abhi Gupta , Tommi Jaakkola , Josh Tenenbaum , Leslie Kaelbling , Akash Srivastava , Pulkit Agrawal.* [[abs](https://arxiv.org/abs/2309.08587)], NeurIPS 2023\n\n1. **VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning**\n\n    *Han Lin , Abhay Zala , Jaemin Cho , Mohit Bansal.* [[abs](https://arxiv.org/abs/2309.15091)], Preprint 2023.9\n\n1. **Evaluating Cognitive Maps and Planning in Large Language Models with CogEval**\n\n    *Ida Momennejad , Hosein Hasanbeig , Felipe Vieira , Hiteshi Sharma , Robert Osazuwa Ness , Nebojsa Jojic , Hamid Palangi , Jonathan Larson.* [[abs](https://arxiv.org/abs/2309.15129)], Preprint 2023.9.\n\n1. **Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning**\n\n    *Mohamed Aghzal, Erion Plaku, Ziyu Yao.* [[abs](https://arxiv.org/abs/2310.03249)], Preprint 2023.10\n\n1. **Tree-Planner: Efficient Close-loop Task Planning with Large Language Models**\n\n    *Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo.* [[abs](https://arxiv.org/abs/2310.08582)], NeurIPS 2023.\n\n1. **Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena**\n\n    *Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, Kyle Richardson.* [[abs](https://arxiv.org/abs/2310.05746)], Preprint 2023.9\n\n1. **Guiding Language Model Reasoning with Planning Tokens**\n\n    *Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni.* [[abs](https://arxiv.org/abs/2310.05707)], Preprint 2023.9\n\n1. **Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models**\n\n    *Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang.* [[abs](https://arxiv.org/abs/2310.04406)], Preprint 2023.10\n\n1. **Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning**\n\n    *Dhruv Shah, Michael Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine.* [[abs](https://arxiv.org/abs/2310.10103)], Preprint 2023.10\n\n1. **Interactive Task Planning with Language Models**\n\n    *Boyi Li, Philipp Wu, Pieter Abbeel, Jitendra Malik.* [[abs](https://arxiv.org/abs/2310.10645)], Preprint 2023.10\n\n1. **BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology**\n\n    *Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Justin Booth, Samuel G Rodriques.* [[abs](https://arxiv.org/abs/2310.10632)], EMNLP 2023\n\n1. **DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning**\n\n    *Abhay Zala, Han Lin, Jaemin Cho, Mohit Bansal.* [[abs](https://arxiv.org/abs/2310.12128)], Preprint 2023.10\n\n1. **PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization**\n\n    *Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu.* [[abs](https://arxiv.org/abs/2310.16427)], Preprint 2023.10\n\n1. **Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents**\n\n   *Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua.* [[openreview](https://openreview.net/forum?id=MCNqgUFTHI)], ICLR 2024\n\n1. **PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning**\n\n   *Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi.* [[openreview](https://openreview.net/forum?id=dFcXJgnrGB)], ICLR 2024\n\n1. **Agent Planning with World Knowledge Model**\n\n   *Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen.* [[abs](https://arxiv.org/abs/2405.14205)], 2024.05\n\n## :star: Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=AGI-Edgerunners/LLM-Planning-Papers\u0026type=Date)](https://star-history.com/#AGI-Edgerunners/LLM-Planning-Papers\u0026Date)\n\n\n\n\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/agi-edgerunners%2Fllm-planning-papers/projects"}