https://github.com/AGI-Edgerunners/LLM-Planning-Papers

Must-read Papers on Large Language Model (LLM) Planning.
https://github.com/AGI-Edgerunners/LLM-Planning-Papers

List: LLM-Planning-Papers

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Must-read Papers on Large Language Model (LLM) Planning.

• Host: GitHub
• URL: https://github.com/AGI-Edgerunners/LLM-Planning-Papers
• Owner: AGI-Edgerunners
• Created: 2023-08-12T13:50:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-04T05:19:56.000Z (6 months ago)
• Last Synced: 2024-10-14T15:01:18.996Z (2 months ago)
• Topics: awesome-list, large-language-models, llm, paper-list, papers, planning, review, survey
• Homepage:
• Size: 116 KB
• Stars: 354
• Watchers: 15
• Forks: 19
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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• ultimate-awesome - LLM-Planning-Papers - Must-read Papers on Large Language Model (LLM) Planning. (Other Lists / Monkey C Lists)

README

        
# LLM-Planning-Papers

Must-Read Papers on the Planning ability of Large Language Models (LLMs).

---

## 🏷️ News

- **2023-08-12 We create this paper list on *LLM Planning* .**

## 🗞️ Papers

1. **Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents**

   *Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch.* [[abs](https://arxiv.org/abs/2201.07207)], [[code](https://huangwl18.github.io/language-planner)], ICML 2022

1. **Least-to-Most Prompting Enables Complex Reasoning in Large Language Models**

   *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

1. **On Grounded Planning for Embodied Tasks with Language Models**

   *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

1. **On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark**

   *Karthik Valmeekam, S. Sreedharan, Matthew Marquez, Alberto Olmo Hernandez, Subbarao Kambhampati.* [[abs](https://arxiv.org/abs/2302.06706)], NeurIPS 2023

1. **LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models**

   *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

1. **Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents**

   *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

1. **Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models**

   *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

1. **Large Language Models as Commonsense Knowledge for Large-Scale Task Planning**

   *Zirui Zhao Wee Sun Lee David Hsu.* [[abs](https://arxiv.org/abs/2305.14078)], NeurIPS 2023.5

1. **Multimodal Procedural Planning via Dual Text-Image Prompting**

   *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

1. **LLM+P: Empowering Large Language Models with Optimal Planning Proficiency**

   *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

1. **Tree of Thoughts: Deliberate Problem Solving with Large Language Models**

   *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

1. **PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents**

   *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

1. **Reasoning with Language Model is Planning with World Model**

   *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

1. **Understanding the Capabilities of Large Language Models for Automated Planning**

   *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

1. **Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning**

   *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

1. **AdaPlanner: Adaptive Planning from Feedback with Language Models**

   *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

1. **A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis**

   *Izzeddin Gur , Hiroki Furuta , Austin Huang , Mustafa Safdari , Yutaka Matsuo , Douglas Eck , Aleksandra Faust.* [[abs](https://arxiv.org/abs/2307.12856)], Preprint 2023.7

1. **MetaGPT: Meta Programming for Multi-Agent Collaborative Framework**

   *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

1. **Dynamic Planning with a LLM**

   *Gautier Dagan, Frank Keller, Alex Lascarides.* [[abs](https://arxiv.org/abs/2308.06391)], Preprint 2023.8

1. **TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents**

   *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

1. **CodePlan: Repository-level Coding using LLMs and Planning**

    *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

1. **Compositional Foundation Models for Hierarchical Planning**

    *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

1. **VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning**

    *Han Lin , Abhay Zala , Jaemin Cho , Mohit Bansal.* [[abs](https://arxiv.org/abs/2309.15091)], Preprint 2023.9

1. **Evaluating Cognitive Maps and Planning in Large Language Models with CogEval**

    *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.

1. **Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning**

    *Mohamed Aghzal, Erion Plaku, Ziyu Yao.* [[abs](https://arxiv.org/abs/2310.03249)], Preprint 2023.10

1. **Tree-Planner: Efficient Close-loop Task Planning with Large Language Models**

    *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.

1. **Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena**

    *Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, Kyle Richardson.* [[abs](https://arxiv.org/abs/2310.05746)], Preprint 2023.9

1. **Guiding Language Model Reasoning with Planning Tokens**

    *Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni.* [[abs](https://arxiv.org/abs/2310.05707)], Preprint 2023.9

1. **Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models**

    *Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang.* [[abs](https://arxiv.org/abs/2310.04406)], Preprint 2023.10

1. **Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning**

    *Dhruv Shah, Michael Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine.* [[abs](https://arxiv.org/abs/2310.10103)], Preprint 2023.10

1. **Interactive Task Planning with Language Models**

    *Boyi Li, Philipp Wu, Pieter Abbeel, Jitendra Malik.* [[abs](https://arxiv.org/abs/2310.10645)], Preprint 2023.10

1. **BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology**

    *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

1. **DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning**

    *Abhay Zala, Han Lin, Jaemin Cho, Mohit Bansal.* [[abs](https://arxiv.org/abs/2310.12128)], Preprint 2023.10

1. **PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization**

    *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

1. **Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents**

   *Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua.* [[openreview](https://openreview.net/forum?id=MCNqgUFTHI)], ICLR 2024

1. **PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning**

   *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

1. **Agent Planning with World Knowledge Model**

   *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

## :star: Star History

[![Star History Chart](https://api.star-history.com/svg?repos=AGI-Edgerunners/LLM-Planning-Papers&type=Date)](https://star-history.com/#AGI-Edgerunners/LLM-Planning-Papers&Date)