WHAT、WHEN 与 HOW to Ground：设计用户画像感知的对话智能体以实现引人入胜的对话
WHAT, WHEN, and HOW to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue
- SK Telecom（SK电讯）
- University of Southern California（南加州大学）
机构由 AI 辅助整理，请以论文原文为准。
中文总结 AI 辅助
本文针对个性化开放域对话中的 WWH 问题，提出加权数据集混合、负向画像信息增强和响应类型标签等方法，在保持对话流畅性的同时提升 grounded 响应的可控性与可解释性。
中文摘要 AI 辅助
本文提出了一种构建个性化开放域对话系统的方法，以解决商业场景中自然响应生成的 WWH（WHAT、WHEN 和 HOW）问题，在该场景中，个性化对话响应与闲聊式响应轮次高度交织。所提出的方法涉及加权数据集混合、负向画像信息增强方法以及个性化对话数据集的设计，以应对个性化开放域对话系统中 WWH 的挑战。我们的工作有效平衡了对话流畅性与 grounding 倾向，同时引入响应类型标签以提高 grounded 响应的可控性和可解释性。这些方法的组合带来了更流畅的对话，主观人工评估和客观评估均证明了这一点。
英文摘要
This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where personalized dialogue responses are heavily interleaved with casual response turns. The proposed approach involves weighted dataset blending, negative persona information augmentation methods, and the design of personalized conversation datasets to address the challenges of WWH in personalized, open-domain dialogue systems. Our work effectively balances dialogue fluency and tendency to ground, while also introducing a response-type label to improve the controllability and explainability of the grounded responses. The combination of these methods leads to more fluent conversations, as evidenced by subjective human evaluations as well as objective evaluations.
