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Must-read Papers on Large Language Model (LLM) Planning.
| Date | Stars |
|---|---|
| 2026-07-31 | 439 |
| 2026-08-03 | 440 |
| 2026-08-12 | 439 |
| 2026-08-18 | 440 |
| 2026-09-01 | 441 |
| 2026-09-11 | 440 |
| 2026-09-20 | 440 |
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# 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/
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matched fp:1c98e653c01b7d75, topic:large-language-models, topic:llm
matched fp:1c98e653c01b7d75, topic:awesome-list, topic:papers