Towards Zero-Shot Persona Dialogue Generation with In-Context Learning
Xinchao Xu, Zeyang Lei, Wenquan Wu, Zheng-Yu Niu, Hua Ren Wu, Haifeng Wang · 2023
Much work has been done to improve persona consistency by finetuning a pretrained dialogue model on high-quality human-annoated persona datasets.However, these methods still face the challenges of high cost and poor scalability.To this end, we propose a simpleyet-effective approach to significantly improve zero-shot persona consistency via in-context learning.Specifically, we first pre-train a persona-augmented dialogue generation model and then utilize in-context prompting mechanism to realize zero-shot persona customization.Experimental results demonstrate that our method can dramatically improve persona consistency without compromising coherence and informativeness in zero-shot settings.