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

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

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

   Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch. [abs], [code], ICML. 2022

2. 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], ICLR. 2023

3. Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change

   Karthik Valmeekam, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati. [abs], Preprint. 2022.6

4. On Grounded Planning for Embodied Tasks with Language Models

   Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren. [abs], [code], AAAI. 2023

5. 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], Preprint. 2023.2

6. 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], [code], ICCV. 2023

7. 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], [code], Prepint. 2023

8. 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], [code], ACL. 2023.5

9. Multimodal Procedural Planning via Dual Text-Image Prompting

   Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Eric Wang, William Yang Wang. [abs], [code], Preprint. 2023.5

10. 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], [code], Preprint. 2023.5

11. 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], [code], Preprint. 2023.5

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

    Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer. [abs], [code], Preprint. 2023.5

13. 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], [code], Preprint. 2023.5

14. 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], Preprint. 2023.5

15. 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], [code], Preprint. 2023.5

16. AdaPlanner: Adaptive Planning from Feedback with Language Models

    Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang. [abs], [code], Preprint. 2023.5

17. 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], [code], Preprint. 2023.8