Improving Agent Interactions in Virtual Environments with Language Models

Enhancing AI systems with efficient communication skills for effective human assistance necessitates proactive initiatives from the system side to discern specific circumstances and interact aptly. This research focuses on a collective building assignment in the Minecraft dataset, employing language modeling to enhance task understanding through state-of-the-art methods. These models focus on grounding multi-modal Figure 1: Within the ambit of a collaborative construction understanding and task-oriented dialogue comprehension endeavor, it is incumbent upon the builder to adhere tasks, providing insights into their scrupulously to the directives issued by the architect.