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Planning by Automatic Prompt Engineering for Large Language Models Agents

The paper proposes a novel method, REPROMPT, for optimizing the step-by-step instructions in the prompt of LLM agents based on the chat history obtained from interactions with LLM agents.

Data and Resources

Cite this as

Weizhe Chen, Sven Koenig, Bistra Dilkina (2025). Dataset: Planning by Automatic Prompt Engineering for Large Language Models Agents. https://doi.org/10.57702/ehoh8n14

DOI retrieved: January 3, 2025

Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2406.11132
Author Weizhe Chen
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Sven Koenig
Bistra Dilkina