2025
Coarse-to-Fine Grounded Memory for LLM Agent Planning
EMNLP 2025
Recent advancements in Large Language Models (LLMs) have driven growing interest in LLM-based agents for complex planning tasks. To avoid costly agent training, many studies adopted memory mechanism that enhances LLM with offline experiences or online trajectory analysis. However, existing works foc