PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

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.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.958
Citations
5
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
12.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

Hui Wei, Shijia Pan, Shenghua He, Tian Xia et al.
5 citations
Semantic Web and Ontologies
12.40
article

PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

Hui Wei, Shijia Pan, Shenghua He, Tian Xia, Fei Liu, Zihao Zhang
article en
5 citations

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.

National Science Foundation, U.S. Department of Commerce, University of California Merced, Economic Development Administration
Sustainable cities and communities
Openalex Percentile: Top 2%
Semantic Web and Ontologies
12.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.