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Large Language Models for Planning: A Comprehensive and Systematic Survey

Large Language Models for Planning: A Comprehensive and Systematic Survey

26 May 2025
Pengfei Cao
Tianyi Men
Wencan Liu
Jingwen Zhang
Xuzhao Li
Xixun Lin
Dianbo Sui
Yanan Cao
Kang Liu
Jun Zhao
    LLMAG
    LM&Ro
    OffRL
    ELM
    LRM
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Papers citing "Large Language Models for Planning: A Comprehensive and Systematic Survey"

16 / 16 papers shown
Title
AppWorld: A Controllable World of Apps and People for Benchmarking
  Interactive Coding Agents
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
H. Trivedi
Tushar Khot
Mareike Hartmann
R. Manku
Vinty Dong
Edward Li
Shashank Gupta
Ashish Sabharwal
Niranjan Balasubramanian
VGen
LLMAG
37
30
0
26 Jul 2024
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of
  LLMs
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Xin Lai
Zhuotao Tian
Yukang Chen
Senqiao Yang
Xiangru Peng
Jiaya Jia
LRM
83
104
0
26 Jun 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
Yunxiang Zhang
Muhammad Khalifa
Lajanugen Logeswaran
Jaekyeom Kim
Moontae Lee
Honglak Lee
Lu Wang
LRM
KELM
ReLM
45
37
0
26 Apr 2024
Advancing LLM Reasoning Generalists with Preference Trees
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan
Ganqu Cui
Hanbin Wang
Ning Ding
Xingyao Wang
...
Zhenghao Liu
Bowen Zhou
Hao Peng
Zhiyuan Liu
Maosong Sun
LRM
69
109
0
02 Apr 2024
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement
  Learning
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
Michael T. Matthews
Michael Beukman
Benjamin Ellis
Mikayel Samvelyan
Matthew Jackson
Samuel Coward
Jakob Foerster
OffRL
42
29
0
26 Feb 2024
TaskBench: Benchmarking Large Language Models for Task Automation
TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen
Kaitao Song
Xu Tan
Wenqi Zhang
Kan Ren
Siyu Yuan
Weiming Lu
Dongsheng Li
Yueting Zhuang
53
60
0
30 Nov 2023
AgentTuning: Enabling Generalized Agent Abilities for LLMs
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Aohan Zeng
Mingdao Liu
Rui Lu
Bowen Wang
Xiao Liu
Yuxiao Dong
Jie Tang
LM&MA
ALM
LLMAG
32
169
0
19 Oct 2023
MemGPT: Towards LLMs as Operating Systems
MemGPT: Towards LLMs as Operating Systems
Charles Packer
Sarah Wooders
Kevin Lin
Vivian Fang
Shishir G. Patil
Ion Stoica
Joseph E. Gonzalez
RALM
49
131
0
12 Oct 2023
The Rise and Potential of Large Language Model Based Agents: A Survey
The Rise and Potential of Large Language Model Based Agents: A Survey
Zhiheng Xi
Wenxiang Chen
Xin Guo
Wei He
Yiwen Ding
...
Wenjuan Qin
Yongyan Zheng
Xipeng Qiu
Xuanjing Huan
Tao Gui
LM&MA
LM&Ro
3DV
AI4CE
14
885
0
14 Sep 2023
A Real-World WebAgent with Planning, Long Context Understanding, and
  Program Synthesis
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
LM&Ro
LLMAG
59
208
0
24 Jul 2023
Reasoning with Language Model is Planning with World Model
Reasoning with Language Model is Planning with World Model
Shibo Hao
Yi Gu
Haodi Ma
Joshua Jiahua Hong
Zhen Wang
D. Wang
Zhiting Hu
ReLM
LRM
LLMAG
78
539
0
24 May 2023
Leveraging Pre-trained Large Language Models to Construct and Utilize
  World Models for Model-based Task Planning
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
L. Guan
Karthik Valmeekam
S. Sreedharan
Subbarao Kambhampati
LLMAG
29
170
0
24 May 2023
Distilling Script Knowledge from Large Language Models for Constrained
  Language Planning
Distilling Script Knowledge from Large Language Models for Constrained Language Planning
Siyu Yuan
Jiangjie Chen
Ziquan Fu
Xuyang Ge
Soham Shah
C. R. Jankowski
Yanghua Xiao
Deqing Yang
53
54
0
09 May 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for
  Embodied Agents
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
Wenlong Huang
Fei Xia
Dhruv Shah
Danny Driess
Andy Zeng
...
Pete Florence
Igor Mordatch
Sergey Levine
Karol Hausman
Brian Ichter
LM&Ro
49
46
0
01 Mar 2023
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday
  Tasks
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar
Jesse Thomason
Daniel Gordon
Yonatan Bisk
Winson Han
Roozbeh Mottaghi
Luke Zettlemoyer
Dieter Fox
LM&Ro
51
758
0
03 Dec 2019
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
74
1,050
0
27 Mar 2018
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