Manual Guided Dialogue Scheme

Manual-guided dialogue schemes aim to create more efficient and adaptable conversational AI systems by leveraging structured information, such as manuals or knowledge bases, alongside dialogue data. Current research focuses on hybrid architectures combining tree-based structures with generative models, enabling flexible response generation and improved data efficiency across diverse domains. This approach addresses limitations of traditional single-step dialogue paradigms, offering improved scalability and reducing the reliance on extensive, finely-grained training data, ultimately leading to more robust and versatile conversational agents.