Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks

Published in EMNLP 2024 Findings and NeurIPS 2024 Workshop on Behavioral ML, 2024

Recommended citation: Chuang, Y. S., Nirunwiroj, K.†, Studdiford, Z.†, Goyal, A., Frigo, V. V., Yang, S., Shah, D., Hu, J., & Rogers, T. T. (2024). Beyond demographics: Aligning role-playing LLM-based agents using human belief networks. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 14010–14026, Miami, Florida, USA. Association for Computational Linguistics.

Chuang, Y. S., Nirunwiroj, K.†, Studdiford, Z.†, Goyal, A., Frigo, V. V., Yang, S., Shah, D., Hu, J., & Rogers, T. T. (2024). Beyond demographics: Aligning role-playing LLM-based agents using human belief networks. NeurIPS 2024 Workshop on Behavioral Machine Learning. https://arxiv.org/abs/2406.17232