Improving Agent Interactions in Virtual Environments with Language Models
<|reference_start|>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 understanding and task-oriented dialogue comprehension tasks, providing insights into their interpretative and responsive capabilities. Our experimental results showcase a substantial improvement over existing methods, indicating a promising direction for future research in this domain.<|reference_end|>
@article{zhang2024improving,
    title={Improving Agent Interactions in Virtual Environments with Language
  Models},
    author={Jack Zhang},
    journal={arXiv preprint arXiv:2402.05440},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.05440},
    primaryClass={cs.CL}
}