Retrieval-augmented Code Generation For Situated Action Generation: A Case Study On Minecraft

Kranti Chalamalasetti, Hakimov Sherzod, Schlangen David. Arxiv 2024

[Paper]    
Applications Few Shot In Context Learning Prompting RAG

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

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