📄 中文摘要
沉浸式对话系统在实际应用中面临响应速度与长期任务能力之间的持续权衡。轻量级的对话回合能够实现实时交互，但涉及规划和工具调用的请求（如搜索和媒体生成）会导致执行延迟，进而影响回合切换、角色一致性和用户信任。为了解决这一挑战，提出了DuCCAE（协作、增强与演化中的对话），这是一种混合引擎，已在百度搜索中部署，为数百万用户提供服务。DuCCAE将实时响应生成与异步智能执行解耦，并通过共享状态进行同步，以维护会话上下文和用户体验。
DuCCAE：通过协作、增强和演化实现沉浸式对话的混合引擎
📄 English Summary
DuCCAE: A Hybrid Engine for Immersive Conversation via Collaboration, Augmentation, and Evolution
Immersive conversational systems in production encounter a persistent trade-off between responsiveness and long-horizon task capability. Real-time interaction is feasible for lightweight turns, but requests involving planning and tool invocation (e.g., search and media generation) result in heavy-tail execution latency, degrading turn-taking, persona consistency, and user trust. To tackle this issue, DuCCAE (Conversation while Collaboration with Augmentation and Evolution) is proposed as a hybrid engine for immersive conversation, deployed within Baidu Search, serving millions of users. DuCCAE decouples real-time response generation from asynchronous agentic execution and synchronizes them through a shared state that maintains session context and enhances user experience.