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Making Large Language Models into World Models with Precondition and
  Effect Knowledge

Making Large Language Models into World Models with Precondition and Effect Knowledge

18 September 2024
Kaige Xie
Ian Yang
John Gunerli
Mark Riedl
ArXivPDFHTML

Papers citing "Making Large Language Models into World Models with Precondition and Effect Knowledge"

5 / 5 papers shown
Title
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Siyu Zhou
Tianyi Zhou
Yijun Yang
Guodong Long
Deheng Ye
Jing Jiang
Chengqi Zhang
LM&Ro
27
0
0
22 Apr 2025
LLMs as Planning Modelers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models
LLMs as Planning Modelers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models
Marcus Tantakoun
Xiaodan Zhu
Christian Muise
36
2
0
22 Mar 2025
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
Mengkang Hu
Tianxing Chen
Yude Zou
Yuheng Lei
Qiguang Chen
Ming Li
Yao Mu
H. Zhang
Wenqi Shao
Ping Luo
LLMAG
46
0
0
18 Feb 2025
Evaluating World Models with LLM for Decision Making
Evaluating World Models with LLM for Decision Making
Chang Yang
Xinrun Wang
Junzhe Jiang
Qinggang Zhang
Xiao Huang
LLMAG
ELM
36
2
0
13 Nov 2024
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM
  Agents
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents
Siyu Zhou
Tianyi Zhou
Yijun Yang
Guodong Long
Deheng Ye
Jing Jiang
Chengqi Zhang
LLMAG
LM&Ro
25
3
0
09 Oct 2024
1