Special Topic: Personalized Dialogue Agents
Dialogue agents that represent a specific person, with specific backstory, attributes and tendendices.Required Readings (for all students)
- Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao From Persona to Personalization: A Survey on Role-Playing Language Agents Transactions on Machine Learning Research, 2024
- Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018. Personalizing Dialogue Agents: I have a dog, do you have pets too?. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2204–2213, Melbourne, Australia. Association for Computational Linguistics.
- Callison-Burch, C., Tomar, G. S., Martin, L. J., Ippolito, D., Bailis, S., & Reitter, D. (2022, December). Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (pp. 9379-9393).
- Huang, Qiushi, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, and Lilian Tang. Learning Retrieval Augmentation for Personalized Dialogue Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 2523-2540. Association for Computational Linguistics.
- Wang, Hongru, Wenyu Huang, Yang Deng, Rui Wang, Zezhong Wang, Yufei Wang, Fei Mi, Jeff Z. Pan, and Kam-Fai Wong. Unims-rag: A unified multi-source retrieval-augmented generation for personalized dialogue systems. arXiv preprint arXiv:2401.13256 (2024).
Other Readings