As a recent development, task-oriented dialogues (TODs) have been enriched with chitchat in an effort to make dialogues more diverse and engaging. This enhancement is particularly valuable as TODs are often confined to narrow domains, making the mitigation of repetitive and predictable responses a significant challenge. This paper presents a comparative analysis of three chitchat enhancements, aiming to identify the most effective approach in terms of diversity. Additionally, we quantify the divergence between the added chitchat, the original task-oriented language, and chitchat typically found in chitchat datasets, highlighting the top 20 divergent keywords for each comparison. Our findings drive a discussion on future enhancements for augmenting TODs, emphasizing the importance of grounding dialogues beyond the task to achieve more diverse and natural exchanges.

翻译：作为近期发展，任务型对话（TOD）通过引入闲聊来增强对话的多样性和参与感。这一增强尤为宝贵，因为任务型对话通常局限于狭窄领域，缓解重复性和可预测性响应成为一项重大挑战。本文对三种闲聊增强方法进行了比较分析，旨在从多样性角度识别最有效的方案。此外，我们量化了新增闲聊、原始任务导向语言及闲聊数据集中典型闲聊之间的差异性，重点列出每次比较中前20个分歧性关键词。研究结果引发了对未来任务型对话增强方案的讨论，强调了超越任务本身进行对话扎根的重要性，以实现更丰富自然的交互。