PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

Hui Wei, Zihao Zhang, Shenghua He, Tian Xia, Shijia Pan +1 more
2/16/2025
cs.AIcs.CL

No official code found. Best implementation: wll199566/Awesome-LLM-Planning-Capability (38 stars, MIT, last commit 2025-06-10).

Abstract

LLMs have immense potential for generating plans, transforming an initial world state into a desired goal state. A large body of research has explored the use of LLMs for various planning tasks, from web navigation to travel planning and database querying. However, many of these systems are tailored to specific problems, making it challenging to compare them or determine the best approach for new tasks. There is also a lack of clear and consistent evaluation criteria. Our survey aims to offer a comprehensive overview of current LLM planners to fill this gap. It builds on foundational work by Kartam and Wilkins (1990) and examines six key performance criteria: completeness, executability, optimality, representation, generalization, and efficiency. For each, we provide a thorough analysis of representative works and highlight their strengths and weaknesses. Our paper also identifies crucial future directions, making it a valuable resource for both practitioners and newcomers interested in leveraging LLM planning to support agentic workflows.

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MIT

[ACL 2025] A curated list of papers and resources based on "PlanGenLLMs: A Modern Survey of LLM Planning Capabilities"

381May 29, 20251 years agoMIT
acl2025llm-planningsurvey

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Cite this paper

@article{wei2025plangenllms,
  title  = {PlanGenLLMs: A Modern Survey of LLM Planning Capabilities},
  author = {Hui Wei and Zihao Zhang and Shenghua He and Tian Xia and Shijia Pan and Fei Liu},
  year   = {2025},
  eprint = {2502.11221},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2502.11221v3}
}

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