Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft

Understand

In the Minecraft Collaborative Building Task, two players collaborate: an Architect (A) provides instructions to a Builder (B) to assemble a specified structure using 3D blocks.

• In this work, we investigate the use of large language models (LLMs) to predict the sequence of actions taken by the Builder.
• Leveraging LLMs' in-context learning abilities, we use few-shot prompting techniques, that significantly improve performance over baseline methods.
• Additionally, we present a detailed analysis of the gaps in performance for future work